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.
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