Method for reconstructing ECG signals through imaging for arrhythmia detection and its detection system

A method for reconstructing ECG signals through imaging for arrhythmia detection, comprising the following steps:

• (1) Receiving images of human skin in microvascular observable areas, where the images contain surface color variations of the human skin caused by heartbeats and heart rhythms;
• (2) Performing noise reduction on the surface color variations, and based on an analysis of the color variations, extracting an rPPG signal corresponding to a pulsation frequency of a heart, wherein the pulsation frequency is correlated with cardiac behaviors including the heartbeats and heart rhythms;
• (3) Performing frequency domain analysis to identify frequency features in the rPPG signal and performing feature extraction on a PPG signal based on the identified frequency features, wherein the PPG signal is the rPPG signal that has been subjected to a standardization or preprocessing procedure;
• (4) Performing the feature extraction on the PPG signal to extract time-domain feature and frequency-domain feature and fusing the time-domain feature and the frequency-domain feature through a hierarchical feature fusion technique to output a reconstructed ECG signal, wherein the reconstructed ECG signal refers to an analog signal that contains core physiological information of ECG and is generated by simulating ECG physiological information based on the PPG signal;
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• (5) Interpreting waveform features of the reconstructed ECG signal to identify classifications corresponding to arrhythmia based on the waveform features.