Portable Homecare Monitoring System for Sleep-related Breathing Disorders

  • 劉 宸瑋

Student thesis: Master's Thesis


According to the statistics by National Sleep Foundation in United States approximately 40 million and 18 million American suffer from chronic sleep disorder and sleep apnea Sleep apnea will make people out of spirits increase risk of cancer and even be fatal For diagnosis polysomnographic (PSG) test during all night are usually taken in clinic However patients are often on a wait list for a considerable period depending on local medical resource availability Patients sleep in unfamiliar environment will affect the accuracy of diagnosis results Moreover traditional PSG is expensive and needs large amount of wires which may bother sleep and make the PSG not self-applicable So it is not suitable at home In this study we develop a portable homecare monitoring system for sleep-related breathing disorders If doctors predict someone has sleep-related breathing disorders like sleep apnea and want to confirm that they can lend this system to patients to record and monitor their sleep at home Due to our system is designed for sleep-related breathing disorders it doesn’t record EEG EOG or EMG To make it suitable for home use we improve the convenience and comfortableness and reducing the costs in the same time The system proposed in this study is integrated with hardware firmware and software design It records and real-time monitors nasal airflow thoracic respiration abdominal respiration snore sleep position SpO2 and pulse per minute simultaneously If the system detects the SpO2 of the patient is too low it will give the alarm immediately In order to verify the accuracy of SpO2 and pulse per minute estimated real-time by our system we record photoplethysmography (PPG) from 12 healthy subjects by our system and siesta PSG simultaneously The error value of SpO2 and pulse per minute is approximately 2 percentage and 1 beat per minute In addition we find 5 subjects to imitate the symptom of patient who suffer from obstructive sleep apnea to verify our system can record and monitor biomedical signals of sleep-related breathing disorders indeed Through 5 night all-night continuous experiment our system can continuously operate for 7 hours
Date of Award2014 Aug 29
Original languageEnglish
SupervisorSheng-Fu Liang (Supervisor)

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