Multi Lead ECG Multi-scale and Multi Feature Fusion Estimation of RR
Respiratory rate,as a key physiological parameter in clinical diagnosis,can predict potential features of some chronic and major diseases.Estimating respiratory rate from relatively widely used electrocardiograms has the advantage of low equipment redundan-cy.The algorithm in the article first extracts multi lead electrocardiogram signals from the original ECG information,preprocesses them using a Butterworth filter,and then uses wavelet multiscale transform to filter out noise in the signal.Then,QRS peak extraction is per-formed on the ECG signal,and the baseline,amplitude,and frequency characteristics of the corresponding respiratory signal are calcu-lated using the time and amplitude values of the peak.Finally,weighted fusion estimation is performed on the obtained different respira-tory features to obtain a relatively more accurate respiratory rate.
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