TY - GEN
T1 - Contactless iPPG Extraction Using Infrared Imaging
AU - Smiley, Aref
AU - Finkelstein, Joseph
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Image-based photoplethysmography (iPPG) represents a non-invasive and contactless optical technique extensively utilized for heart rate monitoring. In this methodology, the skin's surface is illuminated by a light source, and a photodetector measures volumetric variations in blood circulation. To circumvent the blinding effects associated with high-intensity visible light sources, this pilot study explores the feasibility of employing infrared (IR) light and a high-speed camera for contactless continuous pulse rate measurement. The IR light is directed onto the facial region, and a high-speed camera, capable of capturing video frames at high sampling rate, records the reflected light, enabling the extraction of iPPG signals from the acquired video frames. The efficacy of the developed algorithm was evaluated in ten experiments, encompassing both resting and exercising conditions. A wrist-worn pulse oximeter served as a reference for comparison. The article details the process of image extraction and signal processing implementation, presenting the outcomes of a signal processing pipeline. Furthermore, the detected pulse rates were compared with measurements obtained from the pulse oximeter.
AB - Image-based photoplethysmography (iPPG) represents a non-invasive and contactless optical technique extensively utilized for heart rate monitoring. In this methodology, the skin's surface is illuminated by a light source, and a photodetector measures volumetric variations in blood circulation. To circumvent the blinding effects associated with high-intensity visible light sources, this pilot study explores the feasibility of employing infrared (IR) light and a high-speed camera for contactless continuous pulse rate measurement. The IR light is directed onto the facial region, and a high-speed camera, capable of capturing video frames at high sampling rate, records the reflected light, enabling the extraction of iPPG signals from the acquired video frames. The efficacy of the developed algorithm was evaluated in ten experiments, encompassing both resting and exercising conditions. A wrist-worn pulse oximeter served as a reference for comparison. The article details the process of image extraction and signal processing implementation, presenting the outcomes of a signal processing pipeline. Furthermore, the detected pulse rates were compared with measurements obtained from the pulse oximeter.
KW - contactless monitoring
KW - heart rate
KW - IR imaging
UR - https://www.scopus.com/pages/publications/85184910833
UR - https://www.scopus.com/pages/publications/85184910833#tab=citedBy
U2 - 10.1109/BIBM58861.2023.10385765
DO - 10.1109/BIBM58861.2023.10385765
M3 - Conference contribution
AN - SCOPUS:85184910833
T3 - Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
SP - 4945
EP - 4947
BT - Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
A2 - Jiang, Xingpeng
A2 - Wang, Haiying
A2 - Alhajj, Reda
A2 - Hu, Xiaohua
A2 - Engel, Felix
A2 - Mahmud, Mufti
A2 - Pisanti, Nadia
A2 - Cui, Xuefeng
A2 - Song, Hong
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
Y2 - 5 December 2023 through 8 December 2023
ER -