Comparative Analysis of Filters for Cancellation of Power-line-interference of ECG Signal
Filtering noises/artifacts from the electrocardiogram (ECG) can sustain the efficient clinical decision making. Comparative analysis of several filtering techniques is proposed: two adaptive noise cancellation techniques, Least Mean Square (LMS), Recursive Least Square (RLS); Savitzky-Golay (SG) smo...
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Bulgarian Academy of Sciences
2019-09-01
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doaj-5d02ee02ef0c4ef3950a5d8f157c584a2020-11-25T02:23:00ZengBulgarian Academy of SciencesInternational Journal Bioautomation1314-19021314-23212019-09-0123325928210.7546/ijba.2019.23.3.000500Comparative Analysis of Filters for Cancellation of Power-line-interference of ECG SignalAkash Kumar Bhoi0Karma Sonam SherpaBidita KhandelwalDepartment of Electrical and Electronics Engineering, Sikkim Manipal Institute of Technology (SMIT), Sikkim Manipal University, Sikkim, IndiaFiltering noises/artifacts from the electrocardiogram (ECG) can sustain the efficient clinical decision making. Comparative analysis of several filtering techniques is proposed: two adaptive noise cancellation techniques, Least Mean Square (LMS), Recursive Least Square (RLS); Savitzky-Golay (SG) smoothing filter and Discrete Wavelet Transform (DWT). These methods are implemented on 60 Hz Power-Line Interference (PLI), ECG signals of FANTASIA database and MIT-BIH Arrhythmia Database. Here, Short-Term Fourier Transforms (STFT) and Continuous Wavelet Transform (CWT) is introduced as a graphical tool to measure the noise level in the filtered ECG signals and also to validate the filtering performances of the proposed techniques. Statistical evaluation is also performed calculating the Signal to Noise Ratio (SNR), Mean Square Error (MSE), the Root Mean Square Error (RMSE), Peak Signal to Noise Ratio (PSNR) and Peak to Peak Amplitude (P2P) change before and after filtering of the ECG signals. The graphical results (frequency domain analysis using STFT and CWT) and statistical observation suggest that the noise cancellation performance of DWT is better, over other techniques.http://www.biomed.bas.bg/bioautomation/2019/vol_23.3/files/23.3_02.pdfpower-line interferenceleast mean squarerecursive least square; savitzky-golay smoothing filterdiscrete wavelet transformshort-term fourier transformscontinuous wavelet transformsignal to noise ratiomean square errorthe root mean square errorpeak signal to noise ratiopeak to peak amplitude |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Akash Kumar Bhoi Karma Sonam Sherpa Bidita Khandelwal |
spellingShingle |
Akash Kumar Bhoi Karma Sonam Sherpa Bidita Khandelwal Comparative Analysis of Filters for Cancellation of Power-line-interference of ECG Signal International Journal Bioautomation power-line interference least mean square recursive least square; savitzky-golay smoothing filter discrete wavelet transform short-term fourier transforms continuous wavelet transform signal to noise ratio mean square error the root mean square error peak signal to noise ratio peak to peak amplitude |
author_facet |
Akash Kumar Bhoi Karma Sonam Sherpa Bidita Khandelwal |
author_sort |
Akash Kumar Bhoi |
title |
Comparative Analysis of Filters for Cancellation of Power-line-interference of ECG Signal |
title_short |
Comparative Analysis of Filters for Cancellation of Power-line-interference of ECG Signal |
title_full |
Comparative Analysis of Filters for Cancellation of Power-line-interference of ECG Signal |
title_fullStr |
Comparative Analysis of Filters for Cancellation of Power-line-interference of ECG Signal |
title_full_unstemmed |
Comparative Analysis of Filters for Cancellation of Power-line-interference of ECG Signal |
title_sort |
comparative analysis of filters for cancellation of power-line-interference of ecg signal |
publisher |
Bulgarian Academy of Sciences |
series |
International Journal Bioautomation |
issn |
1314-1902 1314-2321 |
publishDate |
2019-09-01 |
description |
Filtering noises/artifacts from the electrocardiogram (ECG) can sustain the efficient clinical decision making. Comparative analysis of several filtering techniques is proposed: two adaptive noise cancellation techniques, Least Mean Square (LMS), Recursive Least Square (RLS); Savitzky-Golay (SG) smoothing filter and Discrete Wavelet Transform (DWT). These methods are implemented on 60 Hz Power-Line Interference (PLI), ECG signals of FANTASIA database and MIT-BIH Arrhythmia Database. Here, Short-Term Fourier Transforms (STFT) and Continuous Wavelet Transform (CWT) is introduced as a graphical tool to measure the noise level in the filtered ECG signals and also to validate the filtering performances of the proposed techniques. Statistical evaluation is also performed calculating the Signal to Noise Ratio (SNR), Mean Square Error (MSE), the Root Mean Square Error (RMSE), Peak Signal to Noise Ratio (PSNR) and Peak to Peak Amplitude (P2P) change before and after filtering of the ECG signals. The graphical results (frequency domain analysis using STFT and CWT) and statistical observation suggest that the noise cancellation performance of DWT is better, over other techniques. |
topic |
power-line interference least mean square recursive least square; savitzky-golay smoothing filter discrete wavelet transform short-term fourier transforms continuous wavelet transform signal to noise ratio mean square error the root mean square error peak signal to noise ratio peak to peak amplitude |
url |
http://www.biomed.bas.bg/bioautomation/2019/vol_23.3/files/23.3_02.pdf |
work_keys_str_mv |
AT akashkumarbhoi comparativeanalysisoffiltersforcancellationofpowerlineinterferenceofecgsignal AT karmasonamsherpa comparativeanalysisoffiltersforcancellationofpowerlineinterferenceofecgsignal AT biditakhandelwal comparativeanalysisoffiltersforcancellationofpowerlineinterferenceofecgsignal |
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1724860541505110016 |