A Comparison Study for Cardiac Arrhythmias Noise Cancellation Techniques. Issue 2 (April 2022)
- Record Type:
- Journal Article
- Title:
- A Comparison Study for Cardiac Arrhythmias Noise Cancellation Techniques. Issue 2 (April 2022)
- Main Title:
- A Comparison Study for Cardiac Arrhythmias Noise Cancellation Techniques
- Authors:
- Mohamed, Tamador Elkhansaa J.
Mustafa, Zeinab A.
Amien, Magdi B. M.
Ibraheem, Banazier A. - Abstract:
- Abstract : The electrocardiogram (ECG), which represents the electrical activity of the heart, is always chosen as the basic signal for diagnosing cardiac abnormalities and detecting the patient's states. Generally, the various filters are applied (preprocessing) to denoise the artifacts from ECG signal. This step makes the decision making and diagnosis simpler and faster. The most common noise sources are power line interference and baseline wandering. This article discusses different filtering techniques used to denoise the ECG signals. Electrocardiogram signals were downloaded from the MIT-BIH Arrhythmia Database. The MIT-BIH Database was the first set of standard test materials that is generally available to evaluate arrhythmia detection. To remove baseline wander, 4 filters were designed. The filters are a fourth-order high-pass Butterworth filter, a second-order finite impulse response Hamming window, an finite impulse response rectangular window with length L, and an finite impulse response Hanning window. To extract the power line interference (60 Hz), 4 filters were designed: a second-order digital bandpass Butterworth filter, a second-order finite impulse response filter, a Chebyshev filter, and an finite impulse response notch filter with Hanning window. Finally, 5 parameters were used to evaluate filter performance; the parameters are frequency response, phase response, average filter delay (group delay), phase delay, and signal-to-noise ratio. The results showAbstract : The electrocardiogram (ECG), which represents the electrical activity of the heart, is always chosen as the basic signal for diagnosing cardiac abnormalities and detecting the patient's states. Generally, the various filters are applied (preprocessing) to denoise the artifacts from ECG signal. This step makes the decision making and diagnosis simpler and faster. The most common noise sources are power line interference and baseline wandering. This article discusses different filtering techniques used to denoise the ECG signals. Electrocardiogram signals were downloaded from the MIT-BIH Arrhythmia Database. The MIT-BIH Database was the first set of standard test materials that is generally available to evaluate arrhythmia detection. To remove baseline wander, 4 filters were designed. The filters are a fourth-order high-pass Butterworth filter, a second-order finite impulse response Hamming window, an finite impulse response rectangular window with length L, and an finite impulse response Hanning window. To extract the power line interference (60 Hz), 4 filters were designed: a second-order digital bandpass Butterworth filter, a second-order finite impulse response filter, a Chebyshev filter, and an finite impulse response notch filter with Hanning window. Finally, 5 parameters were used to evaluate filter performance; the parameters are frequency response, phase response, average filter delay (group delay), phase delay, and signal-to-noise ratio. The results show that, for baseline wander filters, a fourth-order high-pass Butterworth filter removes more noise and has no time delay. Power line interference filters have the same signal-to-noise ratio approximately. … (more)
- Is Part Of:
- Journal of clinical engineering. Volume 47:Issue 2(2022)
- Journal:
- Journal of clinical engineering
- Issue:
- Volume 47:Issue 2(2022)
- Issue Display:
- Volume 47, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 47
- Issue:
- 2
- Issue Sort Value:
- 2022-0047-0002-0000
- Page Start:
- 96
- Page End:
- 106
- Publication Date:
- 2022-04
- Subjects:
- Biomedical engineering -- Periodicals
610.28 - Journal URLs:
- http://journals.lww.com/jcejournal/pages/default.aspx ↗
http://journals.lww.com ↗ - DOI:
- 10.1097/JCE.0000000000000515 ↗
- Languages:
- English
- ISSNs:
- 0363-8855
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4958.420000
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- 20761.xml