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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

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, http://isrj.org/UploadedData/4987.pdf

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  129. 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
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  180. Jussi Vesma and Tapio Saramaki, “Optimization And Efficient Implementation Of Fir Filters With Adjustable Fraction,$L
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  183. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
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  187. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  188. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  189. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  190. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  191. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  192. S.A.R., China
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  194. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  195. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  196. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  197. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
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  199. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  200. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
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  202. Delay” , IEEE International Symposium on Circuits and Systems 1997
  203. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  204. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  205. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  206. Apr;39(2):155-62
  207. S.A.R., China
  208. Jussi Vesma and Tapio Saramaki, “Optimization And Efficient Implementation Of Fir Filters With Adjustable Fraction,$L
  209. Delay” , IEEE International Symposium on Circuits and Systems 1997
  210. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  211. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  212. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  213. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  214. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  215. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  216. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  217. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  218. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  219. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  220. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  221. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  222. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  223. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  224. 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
  225. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  226. 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
  227. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  228. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  229. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  230. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  231. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  232. 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
  233. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  234. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  235. Proceedings of the 29th Chinese Control Conference, 2010, Beijing, China
  236. from ECG signal”, International Journal of Computer Science and Information Technologies, Vol. 2 (3) , 2011
  237. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  238. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  239. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  240. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  241. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  242. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  243. S.A.R., China
  244. Jussi Vesma and Tapio Saramaki, “Optimization And Efficient Implementation Of Fir Filters With Adjustable Fraction,$L
  245. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  246. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  247. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  248. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  249. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  250. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  251. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  252. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  253. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  254. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  255. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  256. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  257. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  258. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  259. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  260. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  261. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
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  263. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  264. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  265. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  266. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  267. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  268. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  269. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  270. Delay” , IEEE International Symposium on Circuits and Systems 1997
  271. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  272. Proceedings of the 29th Chinese Control Conference, 2010, Beijing, China
  273. from ECG signal”, International Journal of Computer Science and Information Technologies, Vol. 2 (3) , 2011
  274. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  275. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  276. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  277. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  278. Delay” , IEEE International Symposium on Circuits and Systems 1997
  279. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  280. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  281. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  282. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  283. 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
  284. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  285. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  286. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  287. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  288. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  289. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  290. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  291. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  292. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  293. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  294. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  295. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  296. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  297. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  298. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  299. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  300. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  301. Apr;39(2):155-62
  302. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  303. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  304. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  305. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  306. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  307. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  308. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  309. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  310. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  311. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  312. Apr;39(2):155-62
  313. Delay” , IEEE International Symposium on Circuits and Systems 1997
  314. 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
  315. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  316. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  317. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  318. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  319. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  320. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  321. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  322. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  323. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  324. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  325. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  326. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  327. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  328. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  329. Apr;39(2):155-62
  330. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  331. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  332. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  333. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  334. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  335. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  336. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  337. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  338. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  339. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  340. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  341. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  342. Delay” , IEEE International Symposium on Circuits and Systems 1997
  343. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  344. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  345. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  346. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  347. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  348. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  349. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  350. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  351. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  352. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  353. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  354. Apr;39(2):155-62
  355. Delay” , IEEE International Symposium on Circuits and Systems 1997
  356. Apr;39(2):155-62
  357. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  358. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  359. 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
  360. Apr;39(2):155-62
  361. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  362. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  363. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  364. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  365. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  366. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  367. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  368. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  369. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  370. Delay” , IEEE International Symposium on Circuits and Systems 1997
  371. Apr;39(2):155-62
  372. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  373. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  374. 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
  375. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  376. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  377. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  378. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  379. Proceedings of the 29th Chinese Control Conference, 2010, Beijing, China
  380. from ECG signal”, International Journal of Computer Science and Information Technologies, Vol. 2 (3) , 2011
  381. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  382. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  383. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  384. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  385. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  386. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  387. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  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. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  393. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  394. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  395. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  396. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  397. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  398. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  399. Spain, in Wiley Encyclopedia of Biomedical Engineering, Copyright &2006 John Wiley & Sons, Inc
  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. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  412. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  413. Delay” , IEEE International Symposium on Circuits and Systems 1997
  414. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  415. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  416. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  417. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  418. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  419. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  420. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  421. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  422. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  423. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  424. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  425. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  426. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  427. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  428. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  429. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  430. Apr;39(2):155-62
  431. Proceedings of the 29th Chinese Control Conference, 2010, Beijing, China
  432. from ECG signal”, International Journal of Computer Science and Information Technologies, Vol. 2 (3) , 2011
  433. Proceedings of the 29th Chinese Control Conference, 2010, Beijing, China
  434. from ECG signal”, International Journal of Computer Science and Information Technologies, Vol. 2 (3) , 2011
  435. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  436. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  437. S.A.R., China
  438. Jussi Vesma and Tapio Saramaki, “Optimization And Efficient Implementation Of Fir Filters With Adjustable Fraction,$L
  439. Delay” , IEEE International Symposium on Circuits and Systems 1997
  440. S.A.R., China
  441. Jussi Vesma and Tapio Saramaki, “Optimization And Efficient Implementation Of Fir Filters With Adjustable Fraction,$L
  442. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  443. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  444. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  445. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  446. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  447. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  448. WANG Jie-Sheng, ZHANG Yong, ZHANG Ping, SUN Shi-Feng, “Research on Denoising Algorithm for ECG Signals”,
  449. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  450. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  451. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  452. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  453. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  454. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  455. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  456. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  457. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  458. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  459. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  460. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  461. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  462. Ieong Chio In, Vai Mang I, Mak Peng Un, “QRS recognition with programmable hardware ”, University of MacauMacau
  463. Delay” , IEEE International Symposium on Circuits and Systems 1997
  464. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  465. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  466. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  467. Apr;39(2):155-62
  468. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  469. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  470. Delay” , IEEE International Symposium on Circuits and Systems 1997
  471. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  472. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  473. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  474. S.A.R., China
  475. Jussi Vesma and Tapio Saramaki, “Optimization And Efficient Implementation Of Fir Filters With Adjustable Fraction,$L
  476. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  477. Dotsinsky I, Stoyanov T, “Power-line interference cancellation in ECG signals” BiomedInstrum Technol. 2005 Mar-
  478. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  479. Delay” , IEEE International Symposium on Circuits and Systems 1997
  480. 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
  481. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  482. Apr;39(2):155-62
  483. S.A.R., China
  484. Jussi Vesma and Tapio Saramaki, “Optimization And Efficient Implementation Of Fir Filters With Adjustable Fraction,$L
  485. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  486. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  487. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  488. Mitov IP,“A method for reduction of power line interference in the ECG”,Med Eng Phys. 2004 Dec; 26(10):879-87
  489. using TMS320C50 DSP processor” Biomed Sci Instrum. 1999; 35:169-74
  490. with rule-based system”, Biomed Sci Instrum. 1995; 31:115-20.
  491. Trans Biomed Eng. 1996 Jan; 43(1):105-9.
  492. Seema rani, Amanpreet Kaur and J S Ubhi ,“Comparative study of FIR and IIR filters for the removal of Baseline noises
  493. ECG Signal - A Survey Approach”, International Journal of Electronics Engineering,2011
  494. Ravindra Pratap Narwaria, Seema Verma and P. K. Singhal, “Removal of Baseline Wander and Power Line Interference from
  495. Application to Power Line Noise Removal From ECG Signals”, International Conference on Control, Automation and Systems 2007, Korea.
  496. Proceedings of the 29th Chinese Control Conference, 2010, Beijing, China
  497. from ECG signal”, International Journal of Computer Science and Information Technologies, Vol. 2 (3) , 2011
  498. 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
  499. Apr;39(2):155-62
  500. Hardware Requirement In Fir Filter Design”, Oklahoma State University, Stillwater
  501. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  502. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  503. Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N, “Integrating the ECG power-line interference removal methods
  504. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
  505. Apr;39(2):155-62
  506. Electrocardiogram (ECG) Signal Processing” , RNMO Lund University Sweden, PABLO LAGUNA, Zaragoza University,
  507. Kumaravel N, Viswanathan SM,“Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG
  508. Hamilton PS, “A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG”, IEEE
  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
  802. Michael A. Soderstrand, Louis G. Johnson, Hary Arichanthiran, Mezbaul D. Hoque and Raja Elangovan, “Reducing
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