Using plethysmography (PPG) and photoplethysmogram intensity ratio (PIR) to estimate blood pressure

• Main Authors: Zhen Chen Li, 李貞辰
• Other Authors: W. P. Lin
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/2f2936

碩士 === 長庚大學 === 電機工程學系 === 106 === This study is about using microprocessor(Arduino Uno) to control two photoplethysmogram (PPG) Chip, then combines with pulse transit time (PTT) and photoplethysmogram intensity ratio (PIR) schemes to estimate the continuous cuffless blood pressure. First, we used PPG sensors to measure physiological data for 20 subjects of different ages, then use the blood pressure algorithm to estimate blood pressure; secondly, the traditional sphygmomanometer is measured blood pressure as a comparison value to achieve the test accuracy of blood pressure. After our experimental results, the two PPG architectures with the algorithms can measure quit accurate for blood pressure measurement, that comparison average error does not exceed 5 mmHg.