Affiliations: [a] Med+X Center for Manufacturing, West China Hospital, Sichuan University, Chengdu, Sichuan, China | [b] Mechanic Engineering Department, University of Sichuan, Chengdu, Sichuan, China | [c] College of Computer Science, University of Sichuan, Chengdu, Sichuan, China
Correspondence:
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Corresponding author: Zhuqing Wang, Med+X Center for Manufacturing, West China Hospital, Sichuan University, Chengdu, Sichuan, China. E-mail: wzhuqing@scu.edu.cn.
Abstract: BACKGROUND: Wearable devices that monitor heart health of cardiac disease patients in real time are in great demand. OBJECTIVE: We propose an algorithm of improved segment periodical matrix construction for irregular electrocardiogram (ECG) signal denoising. METHOD: While splitting the heartbeat based on each RR interval for periodical segments matrix construction, the as-filtered ECG signal is reconstructed by the maximum singular value after a singular value decomposition. RESULTS: The results demonstrate a higher noise reduction effect with lower signal distortions of our methods compared to several singular value decomposition counterpart approaches. CONCLUSION: Our method has great potential to enhance wearable devices diagnosis accuracy by denoising the complex noises such as electromyography artifacts in real-time ECG sensing.
Keywords: Segment periodical matrix, irregular ECG, singular value decomposition
