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系統識別號 U0026-2808201817115400
論文名稱(中文) 基於光體積訊號描述儀之頭戴式生理訊號監測系統開發
論文名稱(英文) Development of a Photoplethysmography-based Forehead-type Physiological Signal Monitoring System
校院名稱 成功大學
系所名稱(中) 資訊工程學系
系所名稱(英) Institute of Computer Science and Information Engineering
學年度 106
學期 2
出版年 107
研究生(中文) 林唐暐
研究生(英文) Tang-Wei Lin
學號 P76041190
學位類別 碩士
語文別 英文
論文頁數 53頁
口試委員 指導教授-張大緯
口試委員-梁勝富
口試委員-蕭富仁
口試委員-藍崑展
中文關鍵字 穿戴式裝置  光體積訊號描述儀  生理訊號 
英文關鍵字 Wearable device  PPG  Physiological signal 
學科別分類
中文摘要 根據統計,美國約有6%的人口患有睡眠呼吸中止症。睡眠呼吸中止症會讓患者感到精神不濟,頭痛,打瞌睡。這些症狀不僅造成患者日常生活上的不適,也有可能產生意外(如,在開車造成車禍導致他人死亡)。因此,睡眠呼吸中止症是不容忽視的疾病。目前臨床上常用多導睡眠記錄儀做整夜的睡眠紀錄來觀察患者是否患有呼吸中止症,但由於醫院或睡眠中心的資源有限,預約多導睡眠記錄儀需要等待數個禮拜甚至到數個月,在陌生的環境下,使用者的睡眠品質也會下降,導致診斷有誤。此外,多導睡眠記錄儀的儀器相當昂貴,一般民眾難以自行購買。使用上也因為感測器很多讓使用者感到不適,感測器的安裝時間也長達數十分鐘,因此也不適於居家使用。
本系統使用光體積訊號描述儀設計為穿戴式裝置,在成本上較低,而且不需要大量感測器即可量測生理訊號,如血氧,心跳速率,和呼吸速率。本系統也與多導睡眠記錄儀做血氧,心跳速率,與呼吸的量測比較。此外,利用心跳的速率改變,可以偵測睡眠呼吸中止症的事件,準確率達84%。因此,本系統可用於睡眠呼吸中止症自我篩檢,讓使用者評估是否需要就醫。
英文摘要 According to the statistics, about 6% population suffers from sleep apnea in the U.S. Sleep apnea may lead to mental discomfort, headache and doze. These symptoms cause discomfort in daily life. Moreover, they may lead to accidents (e.g., car accidents). Therefore, sleep apnea should not be ignored. At present, polysomnography is commonly used to perform overnight sleep recordings so as to determine whether or not the patient has sleep apnea. However, due to the limited resources in hospitals and sleep centers, patients have to wait for weeks or even months for polysomnography. Besides, sleeping in an unfamiliar place such as a hospital or a sleep center may cause poor sleep quality, affecting the accuracy of sleep diagnosis. Generally, polysomnography is not suitable for home use. One reason is that, it is too expensive, and the other reason is that, it requires a long time to setup a larger number of sensors for polysomnography.
The proposed system is designed as a wearable device based on photoplethysmography (PPG). The system has low cost, and it does not require setting up a lot of sensors for physiological signal recording. The system can report the degree of blood oxygen saturation, heart rate and respiratory rate. The proposed system has been compared with the polysomnography measurement on oxygen saturation, heart rate and respiratory rate. Besides, by the change of heart rate, the proposed system can detect sleep apnea events. The accuracy of the sleep apnea detection method reaches 84%. Thus, the proposed system can be used for sleep apnea self-screening, allowing the user to evaluate whether or not to go to seek medical attention.
論文目次 摘 要 I
ABSTRACT II
誌 謝 III
CONTENT IV
LIST OF TABLES VI
LIST OF FIGURES VII
CHAPTER 1 INTRODUCTION 1
1.1 SLEEP DISORDER 1
1.2 SLEEP-RELATED BREATHING DISORDER 1
1.3 PHOTOPLETHYSMOGRAPHY 1
1.4 MOTIVATION 3
CHAPTER 2 RELATED WORK 4
2.1 POLYSOMNOGRAPHY(PSG) 4
2.2 RESPIRATORY RATE DETECTION 4
2.3 SLEEP APNEA DETECTION 6
CHAPTER 3 SYSTEM DESIGN AND IMPLEMENTATION 7
3.1 OVERVIEW 7
3.2 SYSTEM IMPLEMENTATION 8
3.2.1 Continuous pulse oximetry module 8
3.2.2 Mobile phone application 8
3.2.3 Heart rate calculation 9
3.2.4 Respiratory rate calculation 13
3.2.5 Obstructive sleep apnea detection 22
CHAPTER 4 PERFORMANCE EVALUATION 24
4.1 HARDWARE VERIFICATION 24
4.1.1 SpO2 reaction time evaluation 24
4.1.2 Nap SpO2 evaluation 27
4.1.3 Short-term HRV recording 31
4.1.4 Nap HRV recording 34
4.2 SOFTWARE VERIFICATION 38
4.2.1 Evaluation of respiratory rate 38
4.2.2 Evaluation of obstructive sleep apnea detection algorithm 45
CHAPTER 5 DISSCUSSION AND CONCLUSION 48
DISCUSSION AND CONCLUSION 48
REFERENCES 51
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