| Summary: | 博士 === 國立高雄應用科技大學 === 電子工程系碩士班 === 103 === In this dissertation, we adopt non-contact physiological information telemetry idea using infrared thermal image camera to scan and retrieve the human body image. The grayscale image processing and conversion procedure are provided to detect human body temperature and heart rate (HR) measurements. We implement the fast Fourier transform (FFT) method to transfer the temperature data from time domain into frequency domain. This physiological information of human body temperature and heart rate is calculated by using the correlation between heart rate and vessel temperature variations.
Through the cloud storage function and Fuzzy algorithms, the cloud physiological web platform is combined blood pressure (BP) with heart rate variability (HRV) information. The platform can be analyzed each user’s BP and HRV cross-reference data. The observers not only operate sphygmomanometer to get their diastolic blood pressure (DBP) and systolic blood pressure (SBP). Besides, they also measure their HRV via electrocardiogram (ECG) patch. The telemetry information communication platform is included to analyze observers’ autonomic nervous system (ANS) for the health status analysis.
Based on the cross-field integration of biomedical and information communication technology systems, this dissertation is cooperated with Kaohsiung Veterans General Hospital and Kaohsiung Chang Gung Memorial Hospital to gather nearly hundreds clinical heart sound data through the system and make comparative analysis. In this dissertation, the system platform can enhance the performance of five-lead-phonocardiography to aid echocardiography and 12-lead-electrocardiography functions. The above clinical cases of physiological parameters can be integrated with big data analysis of health status for the future.
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