Quality Assessment of ECG Signal Based on Wavelet Energy Ratio and Wavelet Energy Entropy

Ai Hua Zhang; Ming Chun Kou; Chen Diao; Dong Mei Lin

doi:10.4028/www.scientific.net/AMM.530-531.577

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 530-531Quality Assessment of ECG Signal Based on Wavelet...

Quality Assessment of ECG Signal Based on Wavelet Energy Ratio and Wavelet Energy Entropy

Abstract:

ECG signal is affected by many factors such as noise and interference in the process of acquisition, which make it difficult for clinicians to interpret the ECG signal precisely and effectively. In order to detect whether an ECG signal is worthy to be interpreted by clinicians, an algorithm was proposed to assess the quality of ECG signal based on wavelet energy ratio and wavelet energy entropy. After wavelet decomposition, the ECG signals wavelet energy ratio and wavelet energy entropy were calculated in three different frequency bands, and we defined them as the quality indices to evaluate the quality of ECG signal. Experimental results show that we can achieve an accuracyof 95.2%.

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Periodical:

Applied Mechanics and Materials (Volumes 530-531)

Pages:

577-580

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.530-531.577

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Online since:

February 2014

Authors:

Ai Hua Zhang*, Ming Chun Kou, Chen Diao, Dong Mei Lin

Keywords:

ECG Signal, Energy Entropy, Energy Ratio, Quality Assessment, Wavelet Decomposition

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* - Corresponding Author

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