Effectiveness of Remote PPG Construction Methods: A Preliminary Analysis
OPEN ACCESS
Author / Producer
Date
2022-10
Publication Type
Journal Article
ETH Bibliography
yes
Citations
Altmetric
OPEN ACCESS
Data
Rights / License
Abstract
The contactless recording of a photoplethysmography (PPG) signal with a Red-Green-Blue (RGB) camera is known as remote photoplethysmography (rPPG). Studies have reported on the positive impact of using this technique, particularly in heart rate estimation, which has led to increased research on this topic among scientists. Therefore, converting from RGB signals to constructing an rPPG signal is an important step. Eight rPPG methods (plant-orthogonal-to-skin (POS), local group invariance (LGI), the chrominance-based method (CHROM), orthogonal matrix image transformation (OMIT), GREEN, independent component analysis (ICA), principal component analysis (PCA), and blood volume pulse (PBV) methods) were assessed using dynamic time warping, power spectrum analysis, and Pearson’s correlation coefficient, with different activities (at rest, during exercising in the gym, during talking, and while head rotating) and four regions of interest (ROI): the forehead, the left cheek, the right cheek, and a combination of all three ROIs. The best performing rPPG methods in all categories were the POS, LGI, and OMI methods; each performed well in all activities. Recommendations for future work are provided.
Permanent link
Publication status
published
External links
Editor
Book title
Journal / series
Volume
9 (10)
Pages / Article No.
485
Publisher
MDPI
Event
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Imaging PPG; imaging photoplethysmogram; camera-based photoplethysmography; remote health monitoring; light interaction with tissue; vasomotor reactivity; vascular regulation; early diagnostic methods; imaging and sensing; optical imaging
Organisational unit
09715 - Menon, Carlo / Menon, Carlo