Hemobarogram Subwave Component Pulse Signal Classification

• Main Authors: Shih-Chieh Huang, 黃世杰
• Other Authors: Peter I-Tsyuen Chang
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/y4nsbu

碩士 === 國立臺灣科技大學 === 機械工程系 === 105 === The symptom of arteriosclerosis is a major health problem we can’t ignore. Due to the change of diet, this symptom has been causing more and more trouble to our people’s health. If we can combine a system that monitors the hemobarogram with the popular wearing devices, it can be a key solution to this problem. In this research, we collect the hemobarogram data by using a sphygmomanometer on the wrist. With the help of empirical mode decomposition and the chaos theory, we dismantle the non-linear hemobarogram, and find two wave forms that can represent the growth and decline of the blood pressure. Then we use automated intelligence to find the feature points of the wave forms, these feature points should correspond to the process of blood flows from the heart to the wrist. As for arteriosclerosis, we use the relative connection between the two wave forms and the original hemobarogram to draw a plan, the plan will go through image process and analyzation, the results will then tell us how bad the symptom is and is the blood circulation is fine or not.