DOI Prefix : 10.9780 | Journal DOI : 10.9780/22307850
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Volume : IV, Issue : V, June - 2014

BASELINE WANDER AND POWER LINE INTERFERENCE NOISE REMOVAL IN ECG USING DIGITAL IIR FILTER

Zeenat M. Kazi, P. C. Bhaskar

DOI : 10.9780/22307850, By : Laxmi Book Publication

Abstract :

ECG signal has wide importance in medical field. For diagnostic- purpose, ECG signal must noise free. The ECG signal is susceptible to the interference from other sources like biological and environmental . In this paper digital IIR filter is used to remove noise from noisy ECG signal. Noise associated with this ECG, Baseline wander and Power-line interference are removed using Digital IIR filter. The filters used are Chebyshev I,II, elliptic notch and Butterworth low pass filter . ECG signal has been extracted from MIT-BIH Physionet . Baseline noise is removed efficiently using high pass Butterworth filter .Simulation results show proposed method provides very good results.SNR gives idea that ellptic filter is better to reduce power line interference noise. Finally this filter is implemented using Xilinx System Generator

Keywords :


Article :


Cite This Article :

Zeenat M. Kazi, P. C. Bhaskar(2014). BASELINE WANDER AND POWER LINE INTERFERENCE NOISE REMOVAL IN ECG USING DIGITAL IIR FILTER. Indian Streams Research Journal, Vol. IV, Issue. V, DOI : 10.9780/22307850, http://isrj.org/UploadedData/4987.pdf

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  140. KJ. Kim, J.H. Ku, I.Y. Kim, S.I. Kim and S.W. Nam, “Notch Filter Design using the á- scaled Sampling Kernel and its
  141. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  142. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  143. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  144. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  145. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
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  148. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
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  151. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  152. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  153. Delay” , IEEE International Symposium on Circuits and Systems 1997
  154. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  155. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
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  164. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
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  174. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
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  181. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  182. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  183. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  184. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  185. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  186. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
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  188. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  189. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
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  192. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  193. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  194. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  195. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  196. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  197. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  198. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  199. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  200. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  201. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  202. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  203. KJ. Kim, J.H. Ku, I.Y. Kim, S.I. Kim and S.W. Nam, “Notch Filter Design using the á- scaled Sampling Kernel and its
  204. Delay” , IEEE International Symposium on Circuits and Systems 1997
  205. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  206. Apr;39(2):155-62
  207. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  208. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  209. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  210. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  211. Proceedings of the 29th Chinese Control Conference, 2010, Beijing, China
  212. from ECG signal”, International Journal of Computer Science and Information Technologies, Vol. 2 (3) , 2011
  213. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  214. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  215. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  216. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  217. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  218. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  219. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  220. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  221. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  222. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  223. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  224. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  225. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  226. Delay” , IEEE International Symposium on Circuits and Systems 1997
  227. Delay” , IEEE International Symposium on Circuits and Systems 1997
  228. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  229. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  230. KJ. Kim, J.H. Ku, I.Y. Kim, S.I. Kim and S.W. Nam, “Notch Filter Design using the á- scaled Sampling Kernel and its
  231. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  232. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  233. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  234. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  235. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  236. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  237. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  238. Apr;39(2):155-62
  239. Delay” , IEEE International Symposium on Circuits and Systems 1997
  240. KJ. Kim, J.H. Ku, I.Y. Kim, S.I. Kim and S.W. Nam, “Notch Filter Design using the á- scaled Sampling Kernel and its
  241. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  242. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  243. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  244. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  245. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  246. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  247. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  248. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  249. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  250. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  251. Proceedings of the 29th Chinese Control Conference, 2010, Beijing, China
  252. from ECG signal”, International Journal of Computer Science and Information Technologies, Vol. 2 (3) , 2011
  253. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  254. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  255. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  256. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  257. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  258. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  259. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  260. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  261. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  262. KJ. Kim, J.H. Ku, I.Y. Kim, S.I. Kim and S.W. Nam, “Notch Filter Design using the á- scaled Sampling Kernel and its
  263. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  264. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  265. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  266. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  267. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  268. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  269. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  270. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  271. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  272. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  273. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  274. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  275. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  276. Apr;39(2):155-62
  277. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  278. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  279. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  280. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  281. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  282. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  283. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  284. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  285. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  286. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  287. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  288. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  289. Delay” , IEEE International Symposium on Circuits and Systems 1997
  290. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  291. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  292. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  293. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  294. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  295. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  296. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  297. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  298. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  299. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  300. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  301. Apr;39(2):155-62
  302. Delay” , IEEE International Symposium on Circuits and Systems 1997
  303. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  304. Apr;39(2):155-62
  305. S.A.R., China
  306. Jussi Vesma and Tapio Saramaki, “Optimization And Efficient Implementation Of Fir Filters With Adjustable Fraction,$L
  307. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  308. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  309. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  310. KJ. Kim, J.H. Ku, I.Y. Kim, S.I. Kim and S.W. Nam, “Notch Filter Design using the á- scaled Sampling Kernel and its
  311. Apr;39(2):155-62
  312. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  313. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  314. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  315. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  316. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  317. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  318. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  319. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  320. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  321. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  322. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  323. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  324. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  325. Delay” , IEEE International Symposium on Circuits and Systems 1997
  326. Delay” , IEEE International Symposium on Circuits and Systems 1997
  327. Apr;39(2):155-62
  328. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  329. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  330. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  331. KJ. Kim, J.H. Ku, I.Y. Kim, S.I. Kim and S.W. Nam, “Notch Filter Design using the á- scaled Sampling Kernel and its
  332. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  333. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  334. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  335. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  336. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  337. KJ. Kim, J.H. Ku, I.Y. Kim, S.I. Kim and S.W. Nam, “Notch Filter Design using the á- scaled Sampling Kernel and its
  338. Proceedings of the 29th Chinese Control Conference, 2010, Beijing, China
  339. from ECG signal”, International Journal of Computer Science and Information Technologies, Vol. 2 (3) , 2011
  340. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  341. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  342. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  343. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  344. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  345. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  346. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  347. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  348. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  349. KJ. Kim, J.H. Ku, I.Y. Kim, S.I. Kim and S.W. Nam, “Notch Filter Design using the á- scaled Sampling Kernel and its
  350. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  351. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  352. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  353. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  354. S.A.R., China
  355. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  356. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  357. Jussi Vesma and Tapio Saramaki, “Optimization And Efficient Implementation Of Fir Filters With Adjustable Fraction,$L
  358. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  359. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  360. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  361. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  362. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  363. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  364. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  365. KJ. Kim, J.H. Ku, I.Y. Kim, S.I. Kim and S.W. Nam, “Notch Filter Design using the á- scaled Sampling Kernel and its
  366. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  367. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  368. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  369. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  370. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  371. KJ. Kim, J.H. Ku, I.Y. Kim, S.I. Kim and S.W. Nam, “Notch Filter Design using the á- scaled Sampling Kernel and its
  372. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  373. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  374. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  375. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  376. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  377. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  378. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  379. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  380. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  381. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  382. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  383. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  384. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  385. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  386. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  387. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  388. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  389. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  390. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  391. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  392. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  393. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  394. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  395. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  396. S.A.R., China
  397. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  398. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  399. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  400. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  401. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  402. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  403. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  404. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  405. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  406. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  407. Delay” , IEEE International Symposium on Circuits and Systems 1997
  408. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  409. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  410. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  411. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  412. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  413. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  414. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  415. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  416. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  417. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  418. Proceedings of the 29th Chinese Control Conference, 2010, Beijing, China
  419. from ECG signal”, International Journal of Computer Science and Information Technologies, Vol. 2 (3) , 2011
  420. KJ. Kim, J.H. Ku, I.Y. Kim, S.I. Kim and S.W. Nam, “Notch Filter Design using the á- scaled Sampling Kernel and its
  421. Apr;39(2):155-62
  422. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  423. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  424. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  425. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  426. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  427. Apr;39(2):155-62
  428. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  429. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  430. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  431. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  432. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  433. Delay” , IEEE International Symposium on Circuits and Systems 1997
  434. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  435. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  436. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  437. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  438. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  439. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  440. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  441. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  442. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  443. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  444. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  445. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  446. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  447. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  448. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  449. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  450. Apr;39(2):155-62
  451. Proceedings of the 29th Chinese Control Conference, 2010, Beijing, China
  452. from ECG signal”, International Journal of Computer Science and Information Technologies, Vol. 2 (3) , 2011
  453. Proceedings of the 29th Chinese Control Conference, 2010, Beijing, China
  454. from ECG signal”, International Journal of Computer Science and Information Technologies, Vol. 2 (3) , 2011
  455. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  456. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  457. S.A.R., China
  458. Jussi Vesma and Tapio Saramaki, “Optimization And Efficient Implementation Of Fir Filters With Adjustable Fraction,$L
  459. Delay” , IEEE International Symposium on Circuits and Systems 1997
  460. S.A.R., China
  461. Jussi Vesma and Tapio Saramaki, “Optimization And Efficient Implementation Of Fir Filters With Adjustable Fraction,$L
  462. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  463. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  464. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  465. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  466. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  467. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  468. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  469. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  470. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  471. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  472. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  473. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  474. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  475. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  476. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  477. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  478. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  479. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  480. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  481. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  482. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  483. Delay” , IEEE International Symposium on Circuits and Systems 1997
  484. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  485. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  486. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  487. Apr;39(2):155-62
  488. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  489. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  490. Delay” , IEEE International Symposium on Circuits and Systems 1997
  491. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  492. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  493. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  494. S.A.R., China
  495. Jussi Vesma and Tapio Saramaki, “Optimization And Efficient Implementation Of Fir Filters With Adjustable Fraction,$L
  496. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  497. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  498. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  499. Delay” , IEEE International Symposium on Circuits and Systems 1997
  500. KJ. Kim, J.H. Ku, I.Y. Kim, S.I. Kim and S.W. Nam, “Notch Filter Design using the á- scaled Sampling Kernel and its
  501. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  502. Apr;39(2):155-62
  503. S.A.R., China
  504. Jussi Vesma and Tapio Saramaki, “Optimization And Efficient Implementation Of Fir Filters With Adjustable Fraction,$L
  505. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  506. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  507. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  508. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  509. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  510. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  511. KJ. Kim, J.H. Ku, I.Y. Kim, S.I. Kim and S.W. Nam, “Notch Filter Design using the á- scaled Sampling Kernel and its
  512. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  513. Apr;39(2):155-62
  514. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  515. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  516. Apr;39(2):155-62
  517. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  518. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  519. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  520. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  521. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  522. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  523. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  524. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  525. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  526. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  527. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  528. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  529. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  530. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  531. S.A.R., China
  532. Jussi Vesma and Tapio Saramaki, “Optimization And Efficient Implementation Of Fir Filters With Adjustable Fraction,$L
  533. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  534. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  535. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  536. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  537. Apr;39(2):155-62
  538. Proceedings of the 29th Chinese Control Conference, 2010, Beijing, China
  539. from ECG signal”, International Journal of Computer Science and Information Technologies, Vol. 2 (3) , 2011
  540. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  541. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  542. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  543. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  544. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  545. Apr;39(2):155-62
  546. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  547. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  548. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  549. Apr;39(2):155-62
  550. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  551. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  552. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  553. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  554. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  555. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  556. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  557. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  558. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  559. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  560. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  561. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  562. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  563. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  564. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  565. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  566. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  567. Proceedings of the 29th Chinese Control Conference, 2010, Beijing, China
  568. from ECG signal”, International Journal of Computer Science and Information Technologies, Vol. 2 (3) , 2011
  569. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  570. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  571. KJ. Kim, J.H. Ku, I.Y. Kim, S.I. Kim and S.W. Nam, “Notch Filter Design using the á- scaled Sampling Kernel and its
  572. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  573. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  574. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  575. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  576. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  577. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  578. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  579. S.A.R., China
  580. Jussi Vesma and Tapio Saramaki, “Optimization And Efficient Implementation Of Fir Filters With Adjustable Fraction,$L
  581. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  582. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  583. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  584. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  585. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  586. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  587. Apr;39(2):155-62
  588. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  589. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  590. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  591. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  592. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  593. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  594. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  595. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  596. Apr;39(2):155-62
  597. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  598. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  599. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  600. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  601. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  602. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  603. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  604. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  605. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  606. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  607. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  608. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  609. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  610. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  611. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  612. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  613. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  614. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  615. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  616. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  617. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  618. KJ. Kim, J.H. Ku, I.Y. Kim, S.I. Kim and S.W. Nam, “Notch Filter Design using the á- scaled Sampling Kernel and its
  619. Proceedings of the 29th Chinese Control Conference, 2010, Beijing, China
  620. from ECG signal”, International Journal of Computer Science and Information Technologies, Vol. 2 (3) , 2011
  621. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  622. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  623. Delay” , IEEE International Symposium on Circuits and Systems 1997
  624. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  625. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  626. Proceedings of the 29th Chinese Control Conference, 2010, Beijing, China
  627. from ECG signal”, International Journal of Computer Science and Information Technologies, Vol. 2 (3) , 2011
  628. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  629. KJ. Kim, J.H. Ku, I.Y. Kim, S.I. Kim and S.W. Nam, “Notch Filter Design using the á- scaled Sampling Kernel and its
  630. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  631. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  632. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  633. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  634. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  635. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  636. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  637. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  638. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  639. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  640. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  641. Delay” , IEEE International Symposium on Circuits and Systems 1997
  642. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  643. Proceedings of the 29th Chinese Control Conference, 2010, Beijing, China
  644. from ECG signal”, International Journal of Computer Science and Information Technologies, Vol. 2 (3) , 2011
  645. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  646. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  647. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  648. Proceedings of the 29th Chinese Control Conference, 2010, Beijing, China
  649. from ECG signal”, International Journal of Computer Science and Information Technologies, Vol. 2 (3) , 2011
  650. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  651. Apr;39(2):155-62
  652. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  653. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  654. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  655. Proceedings of the 29th Chinese Control Conference, 2010, Beijing, China
  656. from ECG signal”, International Journal of Computer Science and Information Technologies, Vol. 2 (3) , 2011
  657. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  658. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  659. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  660. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  661. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  662. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  663. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  664. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  665. KJ. Kim, J.H. Ku, I.Y. Kim, S.I. Kim and S.W. Nam, “Notch Filter Design using the á- scaled Sampling Kernel and its
  666. S.A.R., China
  667. Jussi Vesma and Tapio Saramaki, “Optimization And Efficient Implementation Of Fir Filters With Adjustable Fraction,$L
  668. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  669. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  670. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  671. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  672. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  673. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  674. Apr;39(2):155-62
  675. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  676. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  677. KJ. Kim, J.H. Ku, I.Y. Kim, S.I. Kim and S.W. Nam, “Notch Filter Design using the á- scaled Sampling Kernel and its
  678. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  679. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  680. KJ. Kim, J.H. Ku, I.Y. Kim, S.I. Kim and S.W. Nam, “Notch Filter Design using the á- scaled Sampling Kernel and its
  681. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  682. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  683. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  684. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  685. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  686. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  687. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  688. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  689. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  690. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  691. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  692. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  693. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  694. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  695. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  696. Delay” , IEEE International Symposium on Circuits and Systems 1997
  697. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  698. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  699. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  700. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  701. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  702. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  703. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  704. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  705. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  706. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  707. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  708. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  709. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  710. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  711. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  712. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  713. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  714. Proceedings of the 29th Chinese Control Conference, 2010, Beijing, China
  715. from ECG signal”, International Journal of Computer Science and Information Technologies, Vol. 2 (3) , 2011
  716. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  717. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  718. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  719. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  720. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  721. S.A.R., China
  722. Jussi Vesma and Tapio Saramaki, “Optimization And Efficient Implementation Of Fir Filters With Adjustable Fraction,$L
  723. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  724. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  725. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  726. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  727. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  728. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  729. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  730. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  731. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  732. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  733. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  734. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  735. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  736. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  737. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  738. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  739. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  740. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  741. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  742. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  743. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  744. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  745. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  746. Delay” , IEEE International Symposium on Circuits and Systems 1997
  747. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  748. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  749. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  750. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  751. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  752. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  753. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  754. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  755. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  756. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  757. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  758. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  759. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  760. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  761. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  762. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  763. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  764. Delay” , IEEE International Symposium on Circuits and Systems 1997
  765. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  766. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  767. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  768. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  769. S.A.R., China
  770. Jussi Vesma and Tapio Saramaki, “Optimization And Efficient Implementation Of Fir Filters With Adjustable Fraction,$L
  771. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  772. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  773. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  774. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  775. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  776. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  777. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  778. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  779. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  780. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  781. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  782. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  783. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  784. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  785. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  786. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  787. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  788. KJ. Kim, J.H. Ku, I.Y. Kim, S.I. Kim and S.W. Nam, “Notch Filter Design using the á- scaled Sampling Kernel and its
  789. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  790. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  791. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  792. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  793. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  794. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  795. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  796. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  797. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  798. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  799. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  800. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  801. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
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