Analog signal processing for heart rate extraction.
Heart rate variability (HRV) studies have shown that beat-to-beat interval variability is a strong indicator of a number of medical conditions, including heart failure, diabetes, and hypertension. Current HRV systems typically analyze pre-recorded high resolution ECG recordings. We have demonstrated an analog signal processing circuit which extracts real-time HRV data from EGC signals producing a simple output voltage that is more easily monitored or recorded. The system is accurate and can be produced as a compact low-cost device that can make HRV monitoring more practical for home based health care and implantable devices.
Chen
Mingqi
M
Department of Electrical Engineering, University of Hawaii at Manoa, 2540 Dole Street, Hoholulu, USA. mingqi@hawaii.edu.
Boric-Lubecke
Olga
O
Lubecke
Victor
V
Wang
Xiaoyue
X