| Summary: | 碩士 === 國立中山大學 === 機械與機電工程學系研究所 === 106 === Blood pressure (BP) is a crucial indicator of cardiac health and vascular status. To explore the relationship between radial-artery BP and wrist skin strain, this study devised a BP estimation method based on signals collected through high-sensitivity strain gauges and photoplethysmography (PPG) technology and by adopting a BP measurement method based on physical model of wrist skin tissues and the pulse wave velocity (PWV). The strain-based pulse wave sensor developed in this study was used with a pressing force sensor to ensure the consistent pressing force. This feature enabled long-term BP monitoring without much wrist compression. In terms of signal processing, the study designed a front-end circuit and a signal processing module to perform analog and digital signal processing, and then sent information to the algorithmic program and human-machine interface module. After that, the module displayed continuous blood pressure in monitoring systems.
In the clinical test, BP waveforms were measured before, during, and after exercise and the data were compared for analysis. In experiment performed 39 Asians aged between 14 and 49 years, the average errors of diastolic BP (DBP) and systolic BP (SBP) were 4.93% and 4.44%, respectively, prior to exercise; 6.16% and 5.08%, respectively, during exercise; and 5.66% and 4.68%, respectively, after a rest. The proposed BP monitoring system exhibited relatively favorable signal-to-noise ratio performance and was comfortable for patients.
|
|---|
