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
AUTHORS (3)
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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