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.