Contactless Cardiovascular Assessment by Imaging Photoplethysmography: A Comparison with Wearable Monitoring

• Published in: Sensors (Basel, Switzerland) Vol. 23; no. 3; p. 1505
• Main Authors: van Es, Valerie A. A., Lopata, Richard G. P., Scilingo, Enzo Pasquale, Nardelli, Mimma
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 29.01.2023; MDPI
• Subjects: Algorithms; autonomic nervous system (ANS); Blood; Comparative analysis; Datasets; Diagnostic Imaging; Heart rate; Heart Rate - physiology; Humans; imaging photoplethysmography (iPPG); Methods; Photoplethysmography - methods; Physiology; pulse rate variability (PRV); remote photoplethysmography; Sensors; Signal processing; Signal Processing, Computer-Assisted; Skin; Wearable Electronic Devices; Webcams; pulse rate variability (PRV); autonomic nervous system (ANS); remote photoplethysmography; imaging photoplethysmography (iPPG)
• DOI: 10.3390/s23031505
• ISSN: 1424-8220

Despite the notable recent developments in the field of remote photoplethysmography (rPPG), extracting a reliable pulse rate variability (PRV) signal still remains a challenge. In this study, eight image-based photoplethysmography (iPPG) extraction methods (GRD, AGRD, PCA, ICA, LE, SPE, CHROM, and POS) were compared in terms of pulse rate (PR) and PRV features. The algorithms were made robust for motion and illumination artifacts by using ad hoc pre- and postprocessing steps. Then, they were systematically tested on the public dataset UBFC-RPPG, containing data from 42 subjects sitting in front of a webcam (30 fps) while playing a time-sensitive mathematical game. The performances of the algorithms were evaluated by statistically comparing iPPG-based and finger-PPG-based PR and PRV features in terms of Spearman’s correlation coefficient, normalized root mean square error (NRMSE), and Bland–Altman analysis. The study revealed POS and CHROM techniques to be the most robust for PR estimation and the assessment of overall autonomic nervous system (ANS) dynamics by using PRV features in time and frequency domains. Furthermore, we demonstrated that a reliable characterization of the vagal tone is made possible by computing the Poincaré map of PRV series derived from the POS and CHROM methods. This study supports the use of iPPG systems as promising tools to obtain clinically useful and specific information about ANS dynamics.