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A novel method based on Adaptive Periodic Segment Matrix and Singular Value Decomposition for removing EMG artifact in ECG signal

2019-12-19

Abstract excerpt

<title>Abstract</title> <p>Background: The Electrocardiogram (ECG) signals are usually used to detect and monitor human health. However, the Electromyogram (EMG) artifact also can be obtained during measurement, these make difficult for doctors in correct diagnosis. In general, the ECG signal is periodic while EMG artifact is non-stationary and has overlapped with it under the frequency domain. According to these...

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Literature Corpus work
42b96faf-29ef-519c-9370-46157127a3c3
DOI
10.21203/rs.2.19296/v1
Open publication

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A novel method based on Adaptive Periodic Segment Matrix and Singular Value Decomposition for removing EMG artifact in ECG signalDOI 10.21203/rs.2.19296/v1
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