Heart Rate Feature Extraction based on Neurokit2 with Python

Abstract

Cardiovascular disease (CVD) is caused by disorders of the heart and blood vessels. Cardiovascular disease includes coronary artery disease (myocardial infarction), cerebrovascular accident (stroke), hypertension (high blood pressure), peripheral artery disease, rheumatic heart disease, and congenital heart disease. heart failure. However, an estimated 80% of strokes are preventable, based on diet, exercise, and "listening" to your body's cues before a stroke has occurred. Up to now, heart disease is still a potential risk affecting the health and life of patients. We analyzed algorithms to filter ECG signals and gain feature extraction in order to process experiment data. The methods of Neurokit2 were proposed to analyze the sample signal and acquire details of feature extraction. The results show the numeric difference in 3 states: Relax, Walk and Run.