An improved Pan-Tompkins algorithm is proposed to address the insensitivity of traditional electrocardiogram(ECG)examination to the structure of the heart region and the difficulty in locating multi-cycle R-peaks in magnetocardiography(MCG)detection,with the aim of accurately locating R-waves and analyzing the MCG signal.By preprocessing the MCG and ECG signals,and using the Savitzky-Golay filter and LOF algorithm to process signals and detect anomalies,this method can accurately identify the position of R-waves.Using a finite element model inverse problem solving method,the current density distribution in-side the heart is inferred,and then the magnetic field map and pseudo-current density vector map are obtained.In a total of 7 348 cardiac cycles in 30 samples,the improved Pan-Tompkins algorithm successfully identified 7 321 R-waves with an accuracy of up to 99.63%.This method can be applied to R-wave identification and MCG pathological analysis,and is of great significance for studying the spatiotemporal evolution rules and mechanisms of cardiac electrical activity.
关键词
心脏磁场/R峰定位/异常点检测/超导量子干涉/二维电流密度分布
Key words
cardiac magnetic field/R-peak localization/anomaly detection/superconducting quantum interference/two-dimensional current density distribution
维普
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