TY - GEN
T1 - Comparison of Optoelectronic Plethysmography, Torsiometers, and Chest Band for Respiratory Monitoring
AU - Qi, Wen
AU - Lin, Chengwei
AU - Zheng, Cankun
AU - Qian, Kun
AU - Ntalampiras, Stavros
AU - Aliverti, Andrea
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - The rapid advancement of health monitoring technologies has increased the demand for self-management and home healthcare, while the dependence of traditional medical equipment on limited labor and resources poses a significant challenge. To address the shortcomings of traditional photoelectric respiratory monitoring techniques, such as their complex operation and restricted detection range, we developed a high-precision respiratory monitoring system utilizing wearable devices. Specifically, an algorithm module has been implemented to effectively extract and analyze respiratory signals derived from portable torsiometers. Comparative analyses against traditional photoelectric detection methods reveal that the wearable-based system not only matches conventional techniques in terms of detection sensitivity and response times but also offers enhanced convenience. The objective of this paper is to underscore an innovative approach that rectifies the deficiencies in current respiratory monitoring technologies, particularly with respect to accuracy, ease of use, and applicability. Experimental validation demonstrated that the results obtained from this design are consistent with those measured using photopyroelectric devices as the gold standard.Clinical relevance - This underscores the clinical merit of the wearable respiratory device, facilitating prolonged lung function monitoring and delivering actionable metrics for managing chronic conditions like COPD beyond hospital confines.
AB - The rapid advancement of health monitoring technologies has increased the demand for self-management and home healthcare, while the dependence of traditional medical equipment on limited labor and resources poses a significant challenge. To address the shortcomings of traditional photoelectric respiratory monitoring techniques, such as their complex operation and restricted detection range, we developed a high-precision respiratory monitoring system utilizing wearable devices. Specifically, an algorithm module has been implemented to effectively extract and analyze respiratory signals derived from portable torsiometers. Comparative analyses against traditional photoelectric detection methods reveal that the wearable-based system not only matches conventional techniques in terms of detection sensitivity and response times but also offers enhanced convenience. The objective of this paper is to underscore an innovative approach that rectifies the deficiencies in current respiratory monitoring technologies, particularly with respect to accuracy, ease of use, and applicability. Experimental validation demonstrated that the results obtained from this design are consistent with those measured using photopyroelectric devices as the gold standard.Clinical relevance - This underscores the clinical merit of the wearable respiratory device, facilitating prolonged lung function monitoring and delivering actionable metrics for managing chronic conditions like COPD beyond hospital confines.
UR - https://www.scopus.com/pages/publications/105023774765
U2 - 10.1109/EMBC58623.2025.11253455
DO - 10.1109/EMBC58623.2025.11253455
M3 - Conference contribution
C2 - 41337279
AN - SCOPUS:105023774765
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
BT - 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2025 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2025
Y2 - 14 July 2025 through 18 July 2025
ER -