TY  - JOUR
TT  - IIR Based Digital Filter Design for Denoising the ECG Signal
AU  - Bolat, Emine Doğru
AU  - Yakut, Önder
AU  - Solak, Serdar
PY  - 2018
DA  - March
DO  - 10.2339/politeknik.386970
JF  - Politeknik Dergisi
PB  - Gazi University
WT  - DergiPark
SN  - 2147-9429
SP  - 173
EP  - 181
VL  - 21
IS  - 1
KW  - Elektrokardiyogram(EKG)
KW  - EKG gürültü arındırma
KW  - IIR tabanlı sayısal filtre
KW  - güç hattı girişimi
KW  - taban hattı kayması
KW  - kas (EMG) gürültüsü
N2  - In this study,several IIR based filters are used for eliminating various noises from theElectrocardiogram (ECG) signal and the performance analysis of these filtersare compared with each other. ECG is a signal resulted from the heart’sfunctions. The ECG signal having electrophysiological information is used forthe diagnosis of the heart diseases or monitoring the condition of the heart.The ECG data utilized in this study is taken from the MIT-BIH arrhythmiadatabase recordings. It is aimed to remove the noises from the ECG signalemploying the IIR based Butterworth, Chebyshev Type 1, Chebyshev Type 2 andElliptic digital filters. The filters are configured depending on the noisetypes and the performance analysis of the filters is realized. A system isproposed selecting the filters having high performances and using them in thepre-processing stage of the R and QRS detection algorithm. And it is observedthat the proposed system provides a satisfactory performance. The statisticalparameters used for the performance analysis are Mean Square Error (MSE),Signal to Noise Ratio (SNR), Peak to Signal Noise Ratio (PSNR). 
CR  - [1]	Yakut O., Solak S. and Bolat E.D., “Measuring EKG signal using e-health sensor platform”, International Conference on Chemistry, Biomedical and Environment Engineering, Antalya, 65-69, (2014).
CR  - [2]	Clifford G.D., Azuaje F. and McSharry P., “ECG Statistics, Noise, Artifacts and Missing Data”, Artech House Inc., Norwood MA USA, (2006).
CR  - [3]	Aboutabikh K., Haidar I. and Aboukerdah N., “Design and implementation of a digital FIR notch filter for the ECG signals using FPGA”, IJARCCE, 5: 452-456, (2016).
CR  - [4]	Limaye H., Deshmukh V. V., “ECG noise sources and various noise removal techniques: a survey”, IJAIEM, 5: 86-92, (2016).
CR  - [5]	Patne S.L., Khope S.R., “ECG denoising and disease detection”, IJESC, 6: 7361-7363, (2016).
CR  - [6]	Ahmad I., Ansarı F. and Dey U.K., “Power line interference noise removal in ECG-a comparative study”, IJCSE, 7: 13-18, (2015)
CR  - [7]	Hamiane M., Al-Heddi I.Y., “Automatic detection of abnormalities in ECG signals : a Matlab study”, International Journal of Biology And Biomedical Engineering, 9: 121-126, (2015).
CR  - [8]	Sharma M., Dalal H., “Designing and implementation of digital filter for power line interference suppression”, IJSETR, 3: 1831-1836, (2014).
CR  - [9]	Upganlawar I.V., Chowhan H., “Pre-processing of ECG Signals Using Filters”, IJCTT, 11: 166-168, (2014)
CR  - [10]	Patial P., Singh E.K., “Efficient filtering techniques of ECG signal using fir low pass filter with various window techniques”, IJARCSSE, 4: 641-647, (2014).
CR  - [11]	Georgieva-Tsaneva G., Tcheshmedjiev K., “Denoising of electrocardiogram data with methods of wavelet transform”, CompSysTech, Ruse,  9-16, (2013).
CR  - [12]	Mbachu C.B., Offor K.J., “Reduction of  in ECG signal using FIR digital fitler implemented with hamming window”, IJSET, 2: 1380-1387, (2013).
CR  - [13]	Joshi L.S., Vatti R.A. and Tornekar R.V., “A Survey on ECG signal denoising techniques”, International Conference on Communication Systems and Network Technologies, MIR Labs Thatipur Gwalior India, 60-64, (2013).
CR  - [14]	Joshi P.J., Patkar V.P., Pawar A. B., Patil P.B., Bagal U. R. and Bipin D.M., “ECG denoising using Matlab”, IJSER, 4: 1401-1405, (2013)
CR  - [15]	Mbachu C.B., Onoh G.N., Idigo V.E., Ifeagwu E.N. and Nnebe S.U., “Processing ECG signal with kaiser window- based FIR digital filters”, IJEST, 3: 6775-6783, (2011).
CR  - [16]	Afonso V. X., “‘ECG QRS detection’, Biomedical Digital Signal Processing: C-language Examples and Laboratory Experiments for the IBM PC”, Prentice-Hall Inc., Upper Saddle River NJ, (1993).
CR  - [17]	Moody G.B., Mark R.G., “The impact of the MIT-BIH arrhythmia database”, IEEE Eng in Med and Biol, 20: 45-5, (2001).
CR  - [18]	Khobragade P. B., Thakare S. S., “Image compression techniques- a review”, IJCSIT, 5: 272-275, (2014).
CR  - [19]	https://en.wikipedia.org/wiki/Welch's_method
UR  - https://doi.org/10.2339/politeknik.386970
L1  - https://dergipark.org.tr/en/download/article-file/415122
ER  -