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" Removal of Artifcats in Electrocardiograms using Savitzky-Golay Filter: An Improved Approach "
Nisha Raheja؛ Amit Kumar Manocha
2021/09/25
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1502378
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| Language of Document
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English
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| Main Entry
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Nisha Raheja
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| Title & Author
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Removal of Artifcats in Electrocardiograms using Savitzky-Golay Filter: An Improved Approach [electronic resources: essay]/ Nisha Raheja؛ Amit Kumar Manocha
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| Piece Level
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Journal of Information Technology Management
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| Notes Pertaining to Publication, Distribution, Etc.
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March 2020
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Special Issue: Deep Learning for Visual Information Analytics and Management.
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| Access Link
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https://jitm.ut.ac.ir/article_78890.html
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https://jitm.ut.ac.ir/article_78890_d9f6fd1be3031cef91bc8defd5a62193.pdf
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| Summary or Abstract
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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.
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eCG
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EMG
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MSE (Mean square error)
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Power line interference
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Savitzky-Golay filter
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Signal to Noise Ratio (SNR)
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Wavelet transform
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Base line wander
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| Personal Name - Alternative Intelectual Responsibility
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Amit Kumar Manocha
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| Originating Source
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University of Tehran. Central Library and Documentation Center
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