Heart Rate Variability Analysis on Electrocardiograms, Seismocardiograms and Gyrocardiograms on Healthy Volunteers

accelerometers electrocardiography Chemical technology 0206 medical engineering heart rate variability gyroscopes TP1-1185 02 engineering and technology Article Healthy Volunteers Electrocardiography seismocardiography Heart Rate Humans gyrocardiography Algorithms
DOI: 10.3390/s20164522 Publication Date: 2020-08-13T06:58:02Z
ABSTRACT
Physiological variation of the interval between consecutive heartbeats is known as heart rate variability (HRV). HRV analysis traditionally performed on electrocardiograms (ECG signals) and has become a useful tool in diagnosis different clinical functional conditions. The progress sensor technique encouraged development alternative methods analyzing cardiac activity: Seismocardiography gyrocardiography. In our study we ECG, seismocardiograms (SCG gyrocardiograms (GCG using PhysioNet Cardiovascular Toolbox. ECG were detected Pan–Tompkins algorithm SCG GCG signals peaks within 100 ms from occurrence R waves. results time domain, frequency domain nonlinear are similar this phenomenon confirmed by very strong linear correlation indices. differences indices obtained statistically insignificant encourage or for estimation. Our confirm stronger computed than because greater tolerance to inter-subject disturbances.
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