| Summary: | 碩士 === 逢甲大學 === 自動控制工程學系 === 102 === Abstract
The main purpose of this research is to develop a real-time abnormal breathing anomaly system, integrated with the physiological measurements smart clothing for monitoring abnormal breathing during sleep. In order to reduce the abnormal phenomena, physiological measurements will instead be done by smart-shirt measurements, and uses electrocardiograph derived respiratory signal from previous studies in order to achieve the same functionality with breathing bands. This system will be developed using LabVIEW® for analysis, while the signals will be measured and acquired using physiological cardiac signals smart-shirt with a sampling frequency 250 Hz, and linked by Bluetooth for real-time analysis and detection. In order to prove the accuracy of the system for the analysis of abnormal breathing detection, short-term controlled breathing data will be used, such as inhaling 2 seconds (s) exhaling 2s, inhaling 3s exhaling 2s, long breath holding, short breath holding, long weak breathing, short weak breathing, and other specific breathing pattern sampling, for instantaneous detection and analysis in order to achieve the accuracy measurement. After testing, the system has an accuracy of 90% when detecting normal breathing state and 90% when detecting abnormal breathing state. The results confirm the breathing state determining system has a good accuracy, and if more than ten seconds of abnormal breathing is detected, the system will alert caregivers. In the future, the data can also be combined with a respirator to achieve an ergonomic and efficient respirator.
Keywords: ECG-derived respiratory signal, ECG, abnormal breathing,
smart clothing.
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