Infrared Image Processing Implementation for Heart Rate and Pulse Rate Monitoring System

• Main Authors: Jyun-Sheng Liou, 劉俊昇
• Other Authors: Gwo-Jia Jong
• Format: Others
• Language: en_US
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/mzvzsa

碩士 === 國立高雄應用科技大學 === 電子工程系碩士班 === 103 === In this thesis, we adopted the non-contact measurement concept by using high performance infrared thermal image camera to scan and capture human body image. The grayscale image process and algorithm convert to detect human body temperature. The process and algorithm can achieve non-contact heart rate (HR) and pulse rate (PR) physiological information. This thesis system implemented infrared thermal image camera to search human body region. The algorithm is applied the elliptical model to search out the positions of human body head and neck, which are capture the higher temperature parts of the neck and wrist. The temperature time domain raw data applied to a band-pass filters to eliminate excessive noise. The fast Fourier transform (FFT) method is provided to transfer the temperature’s data from time domain into frequency domain. In this thesis, the information of human body temperature, heart rate and pulse rate are calculated by using the correlation between heart rate, pulse rate and vessel temperature. This physiological information is determined physical health symptoms and achieves the concept of physiological information telemetry system.