Share Email Print

Proceedings Paper

CameraHRV: robust measurement of heart rate variability using a camera
Author(s): Amruta Pai; Ashok Veeraraghavan; Ashutosh Sabharwal
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The inter-beat-interval (time period of the cardiac cycle) changes slightly for every heartbeat; this variation is measured as Heart Rate Variability (HRV). HRV is presumed to occur due to interactions between the parasym- pathetic and sympathetic nervous system. Therefore, it is sometimes used as an indicator of the stress level of an individual. HRV also reveals some clinical information about cardiac health. Currently, HRV is accurately measured using contact devices such as a pulse oximeter. However, recent research in the field of non-contact imaging Photoplethysmography (iPPG) has made vital sign measurements using just the video recording of any exposed skin (such as a person's face) possible. The current signal processing methods for extracting HRV using peak detection perform well for contact-based systems but have poor performance for the iPPG signals. The main reason for this poor performance is the fact that current methods are sensitive to large noise sources which are often present in iPPG data. Further, current methods are not robust to motion artifacts that are common in iPPG systems. We developed a new algorithm, CameraHRV, for robustly extracting HRV even in low SNR such as is common with iPPG recordings. CameraHRV combined spatial combination and frequency demodulation to obtain HRV from the instantaneous frequency of the iPPG signal. CameraHRV outperforms other current methods of HRV estimation. Ground truth data was obtained from FDA-approved pulse oximeter for validation purposes. CameraHRV on iPPG data showed an error of 6 milliseconds for low motion and varying skin tone scenarios. The improvement in error was 14%. In case of high motion scenarios like reading, watching and talking, the error was 10 milliseconds.

Paper Details

Date Published: 20 February 2018
PDF: 9 pages
Proc. SPIE 10501, Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics, 105010S (20 February 2018); doi: 10.1117/12.2289205
Show Author Affiliations
Amruta Pai, Rice Univ. (United States)
Ashok Veeraraghavan, Rice Univ. (United States)
Ashutosh Sabharwal, Rice Univ. (United States)

Published in SPIE Proceedings Vol. 10501:
Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics
Gerard L. Coté, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?