Presentation + Paper
6 March 2023 Continuous blood pressure monitoring from an autonomic nervous system perspective
Author Affiliations +
Abstract
We propose a novel continuous blood pressure monitoring system which is based on an autonomic nervous system, and which considers blood volume simultaneously since both affect blood pressure. An autonomic nervous system regulates blood pressure while blood volume is known to be proportional to the photoplethysmography (PPG) signal. To overcome the limitation of taking blood pressure using a conventional cuff inflating instrument, we designed a system which can achieve continuous blood pressure monitoring. In this research, we used a set of near-infrared light source (940nm) to create a divergent light which was collimated as a uniform beam incident to a wrist surface through a Fourier optics designed transfer lens. We found that the signals became more stable due to the uniform illumination and could be received by a detector. From the signals, we found that the blood volume when converted from blood velocity as measured by an ultrasound probe, showed a strong correlation with the signals. The heart rate variability analyzed from the signals, including time-domain (HR and SDNN) and frequency-domain (LF and HF) indices, could be viewed as physical models since these indices reflect the functions of an autonomic nervous system. Moreover, the research derived regression models can estimate blood pressure. Although it is not common to assess blood pressure from the perspective of an autonomic nervous system and blood flow simultaneously, our research approach seems logical. Our results show the potential for this novel system to be used for blood pressure health monitoring.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ting-Yu Chiang, Shih-Lun Tai, Yu-Ting Liu, Jiun-Woei Huang, Shu-Sheng Lee, Hsiang-Chieh Lee, and Chih-Kung Lee "Continuous blood pressure monitoring from an autonomic nervous system perspective", Proc. SPIE 12375, Biophotonics in Exercise Science, Sports Medicine, Health Monitoring Technologies, and Wearables IV, 1237502 (6 March 2023); https://doi.org/10.1117/12.2647821
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KEYWORDS
Blood pressure

Blood

Nervous system

Data modeling

Blood vessels

Physiology

Sensors

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