Verification of Blood Pressure Monitoring System Using Optical Fiber Sensor
Source abstract
Abstract
The ever-increasing elderly population and soaring medical expenses demand a wearable monitoring system that can continuously administer blood pressure values to prevent and treat diseases. However, a conventional measuring device does not satisfy this demand owing to its large size and the physical pressure exerted during a measurement. To tackle the issue, the development of smart textiles which has a body signal detection function has been widely investigated. We have proposed a wearable, non-invasive blood pressure measurement device using a fiber Bragg grating (FBG) sensor. The FBG sensor can be easily embedded in garments. Therefore, the FBG sensor can be used in smart textiles for wearable blood pressure monitoring. We used the partial least squares regression (PLSR) method for constructing the calibration curve, which was used to estimate the blood pressure values with the pulse wave signals measured by the FBG sensor. In this study, we demonstrated the measurements of suddenly varying blood pressure values by simulating an abrupt blood pressure change using the cold pressor test. The validation that our system can trace sudden blood pressure change is essential to realize the wearable and continuous blood pressure monitoring device. Our system can efficiently predict the changes in the blood pressure values by focusing on the shape difference in the part of the signal measured by FBG sensor, which indicates the pulse wave reflected from the peripheral blood vessel. The accuracy of the proposed FBG sensor-based system is comparable to the conventional blood pressure measurement device. In fact, the system displays better accuracy in the measurement of sudden changes in blood pressure values.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Spectroscopy and Chemometric Analyses · Advanced Fiber Optic Sensors · Optical Coherence Tomography Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Interdisciplinary Graduate School of Science and Technology, Shinshu University
Faculty of Textile Science and Technology, Shinshu University
Institute for Fiber Engineering, Shinshu University
Department of Clinical Laboratory Sciences, School of Health Sciences, Shinshu University
References (6)
Show source-provided references
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