TY - GEN
T1 - Camera-Based Remote Heart Rate Monitoring Using Photoplethysmography
AU - Hosni, Asmaa
AU - Alaryani, Hamad Sultan
AU - Almaqbali, Sultan Abdallah
AU - Alsereidi, Khameis Rashed
AU - Alkaabi, Nasser Saeed
AU - Mohan, Neethu
AU - Atef, Mohammed
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Ensuring individuals' well-being through health monitoring is vital for safety and overall health. Monitoring vital signs, such as heart rate, is essential for understanding physiological conditions in diverse environments. Traditional methods often involve cumbersome and invasive equipment, making them impractical in confined or remote settings. As a result, there is growing interest in non-invasive, remote monitoring technologies that can track vital signs in real-time without compromising comfort or activities. This paper introduces a system utilizing camera-based photoplethysmography (PPG) technology for remote monitoring of vital signs. The system extracts and analyzes PPG signals from video footage captured by cameras, relying on advanced signal processing algorithms to accurately extract these signals despite challenges like motion artifacts and low signal-to-noise ratios. It employs techniques such as motion artifact removal, adaptive filtering, and real-time peak detection algorithms to improve PPG signal quality and reliability. The study demonstrates the system's capabilities in non-contact physiological monitoring and underscores its potential benefits in various settings. This research highlights the system's ability to extract critical health information using cameras, emphasizing its significance in maintaining individuals' health and well-being.
AB - Ensuring individuals' well-being through health monitoring is vital for safety and overall health. Monitoring vital signs, such as heart rate, is essential for understanding physiological conditions in diverse environments. Traditional methods often involve cumbersome and invasive equipment, making them impractical in confined or remote settings. As a result, there is growing interest in non-invasive, remote monitoring technologies that can track vital signs in real-time without compromising comfort or activities. This paper introduces a system utilizing camera-based photoplethysmography (PPG) technology for remote monitoring of vital signs. The system extracts and analyzes PPG signals from video footage captured by cameras, relying on advanced signal processing algorithms to accurately extract these signals despite challenges like motion artifacts and low signal-to-noise ratios. It employs techniques such as motion artifact removal, adaptive filtering, and real-time peak detection algorithms to improve PPG signal quality and reliability. The study demonstrates the system's capabilities in non-contact physiological monitoring and underscores its potential benefits in various settings. This research highlights the system's ability to extract critical health information using cameras, emphasizing its significance in maintaining individuals' health and well-being.
KW - Camera-based technology
KW - Heartrate
KW - Motion artifacts
KW - Photoplethysmography
KW - Realtime monitoring
KW - Remote monitoring
UR - https://www.scopus.com/pages/publications/85216609056
UR - https://www.scopus.com/pages/publications/85216609056#tab=citedBy
U2 - 10.1109/ICSPIS63676.2024.10812630
DO - 10.1109/ICSPIS63676.2024.10812630
M3 - Conference contribution
AN - SCOPUS:85216609056
T3 - 2024 7th International Conference on Signal Processing and Information Security, ICSPIS 2024
BT - 2024 7th International Conference on Signal Processing and Information Security, ICSPIS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Signal Processing and Information Security, ICSPIS 2024
Y2 - 12 November 2024 through 14 November 2024
ER -