Removal of Artifcats in Electrocardiograms using Savitzky-Golay Filter: An Improved Approach
Electrocardiogram (ECG) is a tool used for the electrical analysis of the status of human heart activity. When the ECG signal is recorded, it gets contaminated with different types of noises. So, for accurate analysis, noises must be eliminated from the ECG signal. There are different types of noise...
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University of Tehran
2020-12-01
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| Series: | Journal of Information Technology Management |
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| Online Access: | https://jitm.ut.ac.ir/article_78890_d9f6fd1be3031cef91bc8defd5a62193.pdf |
| _version_ | 1818938317029244928 |
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| author | Nisha Raheja Amit Kumar Manocha |
| author_facet | Nisha Raheja Amit Kumar Manocha |
| author_sort | Nisha Raheja |
| collection | DOAJ |
| description | Electrocardiogram (ECG) is a tool used for the electrical analysis of the status of human heart activity. When the ECG signal is recorded, it gets contaminated with different types of noises. So, for accurate analysis, noises must be eliminated from the ECG signal. There are different types of noises that contaminate the characteristics of ECG signal i.e Power line interference, baseline wander, Electromyogram (EMG). In this paper, different techniques have implemented for the removal of noises. A median filter is used for removal of DC component and Savitzky-Golay filter (SG) is used for smoothing noised waveform and then wavelet transform (db4) is used to decompose the ECG signal for removal of various artifacts. Wavelet transform provides the information in frequency and time domain and then thresholding has been applied for the implementation of algorithms in MATLAB. The measured results i.e. SNR(Signal to Noise ratio) and MSE(Mean square error) have been calculated using different databases like MIT-BIH, Long-term ST database, European ST-T database. The results are examined with proposed methods that are better than those reported in the literature. |
| first_indexed | 2024-12-20T06:05:56Z |
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| id | doaj.art-8b632fdc3f804b7fa43f2baee5268f7b |
| institution | Directory Open Access Journal |
| issn | 2008-5893 2423-5059 |
| language | fas |
| last_indexed | 2024-12-20T06:05:56Z |
| publishDate | 2020-12-01 |
| publisher | University of Tehran |
| record_format | Article |
| series | Journal of Information Technology Management |
| spelling | doaj.art-8b632fdc3f804b7fa43f2baee5268f7b2022-12-21T19:50:49ZfasUniversity of TehranJournal of Information Technology Management2008-58932423-50592020-12-0112Special Issue: Deep Learning for Visual Information Analytics and Management.627510.22059/jitm.2020.7889078890Removal of Artifcats in Electrocardiograms using Savitzky-Golay Filter: An Improved ApproachNisha Raheja0Amit Kumar Manocha1Research Scholar, Department of Electronics & Communication Engineering, GZSCCET, MRSPTU, Bathinda, Punjab, India., Associate Prof., Department of Electrical Engineering, Punjab Institute of Technology, GTB Garh, Moga (A Constituent College of MRSPTU, Bathinda), Punjab, India.Electrocardiogram (ECG) is a tool used for the electrical analysis of the status of human heart activity. When the ECG signal is recorded, it gets contaminated with different types of noises. So, for accurate analysis, noises must be eliminated from the ECG signal. There are different types of noises that contaminate the characteristics of ECG signal i.e Power line interference, baseline wander, Electromyogram (EMG). In this paper, different techniques have implemented for the removal of noises. A median filter is used for removal of DC component and Savitzky-Golay filter (SG) is used for smoothing noised waveform and then wavelet transform (db4) is used to decompose the ECG signal for removal of various artifacts. Wavelet transform provides the information in frequency and time domain and then thresholding has been applied for the implementation of algorithms in MATLAB. The measured results i.e. SNR(Signal to Noise ratio) and MSE(Mean square error) have been calculated using different databases like MIT-BIH, Long-term ST database, European ST-T database. The results are examined with proposed methods that are better than those reported in the literature.https://jitm.ut.ac.ir/article_78890_d9f6fd1be3031cef91bc8defd5a62193.pdfbase line wanderecgemgmse (mean square error)power line interferencesavitzky-golay filtersignal to noise ratio (snr)wavelet transform |
| spellingShingle | Nisha Raheja Amit Kumar Manocha Removal of Artifcats in Electrocardiograms using Savitzky-Golay Filter: An Improved Approach Journal of Information Technology Management base line wander ecg emg mse (mean square error) power line interference savitzky-golay filter signal to noise ratio (snr) wavelet transform |
| title | Removal of Artifcats in Electrocardiograms using Savitzky-Golay Filter: An Improved Approach |
| title_full | Removal of Artifcats in Electrocardiograms using Savitzky-Golay Filter: An Improved Approach |
| title_fullStr | Removal of Artifcats in Electrocardiograms using Savitzky-Golay Filter: An Improved Approach |
| title_full_unstemmed | Removal of Artifcats in Electrocardiograms using Savitzky-Golay Filter: An Improved Approach |
| title_short | Removal of Artifcats in Electrocardiograms using Savitzky-Golay Filter: An Improved Approach |
| title_sort | removal of artifcats in electrocardiograms using savitzky golay filter an improved approach |
| topic | base line wander ecg emg mse (mean square error) power line interference savitzky-golay filter signal to noise ratio (snr) wavelet transform |
| url | https://jitm.ut.ac.ir/article_78890_d9f6fd1be3031cef91bc8defd5a62193.pdf |
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