Heart rate compression & time reduction method for HRV monitoring in athletes

Abstract

Heart rate variability (HRV), a feature extracted from the heart rate signal, is commonly used for monitoring training loads, and fitness status within athletes. Various sensors can be used to ascertain HRV within athletes; two of which are considered within this investigation, namely PPG and ECG. We present methods for HRV collection and calculation using PPG, reducing HRV collection time requirement by 50%, and compressing signals by an order of 6x for effective field-based data collection.