ISSN: 2155-9880
Department of Marine Equipment and Mechanical Engineering, Jimei University, Xiamen, China
Short Communication
Exact Wavelet Threshold Determined by the ACF of Denoised ECG Signals
Author(s): Wen Chen* and Kaimin Yu
The heartbeat signal monitored by wearable sensors can detect cardiovascular diseases in real time, which is one of the deadliest diseases in the world. However, it is contaminated by noise, seriously affecting the accuracy of diagnosis. This article proposes a real-time and accurate wavelet thresholding method that utilizes normalized autocorrelation functions to accurately estimate electrocardiogram signals, i.e., accurately estimate noise. Compared to traditional wavelet thresholding methods, it can effectively remove various types of noise, especially actual noise. The method can adaptively process complex noise without parameter adjustment, overcoming the shortcomings of existing methods that cannot accurately obtain wavelet thresholds in real time. The method can optimize the parameters of other filters besides various wavelet transforms to enhance the SNR of periodic s.. View More»