Heart rate variability (HRV) is the difference between the successive changes in the heartbeat cycle, and it is produced in the autonomic nervous system modulation of the sinus node of the heart. The HRV is a valuable indicator in predicting the sudden cardiac death and arrhythmic events. Traditional analysis of HRV is based on a multi-electrocardiogram (ECG), but the ECG signal acquisition is complex, so we have designed an HRV analysis system based on photoplethysmography (PPG). PPG signal is collected by a microcontroller from human’s finger, and it is sent to the terminal via USB-Serial module. The terminal software not only collects the data and plot waveforms, but also stores the data for future HRV analysis. The system is small in size, low in power consumption, and easy for operation. It is suitable for daily care no matter whether it is used at home or in a hospital.
Citation:
SHILei, SUNPeng, PANGYu, LUOZhiyong, WANGWei, ANGYanxiang. Design of a Front-end Device of Heart Rate Variability Analysis System Based on Photoplethysmography. Journal of Biomedical Engineering, 2016, 33(1): 14-17. doi: 10.7507/1001-5515.20160004
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- 4. ZHANG Z. Heart rate monitoring from wrist-type photoplethysmographic (PPG) signals during intensive physical exercise[C]//The 2nd IEEE Global Conference on Signal and Information Processing (GlobalSIP). Atlanta, GA, USA: 2014: 698-702.
- 5. GIL E, ORINI M, BAILN R, et al. Time-varying spectral analysis for comparison of HRV and PPG variability during tilt table test[C]//2010 Annual International Conference on Engineering in Medicine and Biology Society (EMBC). Buenos Aires, Argentina: 2010: 3579-3582.
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