Novel heart rate variability index for wrist-worn wearable devices subject to motion artifacts that complicate measurement of the continuous pulse interval
Objective : Wearable health monitoring devices have recently become popular, but they can still only
measure the average heart rate. Heart rate variability (HRV) is known to represent changes in the
autonomic nervous system and analysis of HRV has the potential to be used for monitoring various
wellness-related parameters such as sleep or stress. HRV analysis requires accurate measurement of
the heartbeat interval. In wearable devices, it is difficult to accurately measure the heartbeat
interval due to motion noise. In this paper we propose a new method for performing HRV analysis on
photoplethysmographic (PPG) signals corrupted by motion artifacts measured at the wrist. Approach :
A frequency-tracking algorithm based on the oscillator-based adaptive notch filter was used to
measure instantaneous heart rate. The algorithm consists of a time-varying bandpass filter for
enhancing the heartbeat signal and an adaptive mechanism for tracking heart rate frequency. By
opti...
Source: Physiological Measurement - Category: Physiology Authors: Hyun Jae Baek and Jaegeol Cho Source Type: research