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研究生:黃建豪
研究生(外文):Jian-HaoHuang
論文名稱:為阻塞型睡眠呼吸中止症病患的篩選完成一套結合智慧型手機之可攜式睡眠監測系統
論文名稱(外文):The Implementation of a Portable Sleep Monitoring System with Android Smart Phone for OSA Patient Screening
指導教授:陳天送陳天送引用關係
指導教授(外文):Tian-Song Chen
學位類別:碩士
校院名稱:國立成功大學
系所名稱:生物醫學工程學系
學門:生命科學學門
學類:生物化學學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:英文
論文頁數:49
中文關鍵詞:睡眠呼吸中止症可攜式睡眠監測系統智慧型手機
外文關鍵詞:OSAportable sleep monitoring systemsmart phone
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近十年來,睡眠呼吸中止症 (SAS) 逐漸備受重視,患者常伴隨著頭痛、記憶力衰退、白天嗜睡等症狀以及易引發心血管疾病,依型態又可分為中樞型與阻塞型,其中阻塞型睡眠呼吸中止症 (OSAS) 比例更是高達90%。現今阻塞型睡眠呼吸中止症診斷方式需藉由醫院睡眠中心的多功能生理監測儀 (PSG) 進行整夜記錄並搭配呼吸障礙指數 (RDI) 分析,然而因為代價昂貴、監測耗時以及床位有限等限制,使得醫生在建議病人至醫院做整夜的睡眠監測前須做仔細的篩選。然而現今病人的篩選方式是透過問卷填寫以及病人的肥胖程度作為篩選標準,這樣的篩選方式過於主觀,缺乏客觀判斷,如此一來容易造成醫療資源浪費。
因此,本研究將發展一套可攜式睡眠監測系統做為OSA病患篩選的客觀標準,希望藉此幫助醫生對於睡眠呼吸中止症病患的篩選。此系統記錄四種重要生理參數,包含心電圖 (ECG)、血氧濃度 (SpO2)、呼吸狀態及鼾聲,並結合智慧型手機做為顯示、儲存以及運算裝置,資料傳輸部分則透過藍芽無線傳輸技術。系統硬體以嵌入式模組化完成,且具有微小化、成本低廉、少量的感測器以及較高的攜帶性等優點;系統軟體部分則以Android application為基礎進行設計,於此設計一組數位低通濾波器做為訊號濾波使用,並即時從心電圖II導程計算出RR interval與心率,以及透過演算法由心電圖V1導程即時擷取呼吸率與呼吸強度。此外,本系統於智慧型手機上即時顯示心電、脈搏與音訊波形,以及血氧濃度、心率、呼吸狀態、異常次數等數據,並利用Android application簡易操作特性設計一套可廣泛被使用者接受之人機介面。
Over the past two decades, sleep apnea syndrome (SAS) has gradually been paid more attention in clinics. The SAS patients are suffering from long-term headache, memory loss, excessive daytime fatigue and other symptoms. It could also lead to cardiovascular disease. SAS could be divided into the central type and obstructive type, especially, obstructive sleep apnea syndrome (OSAS) is as high as 90 percent.
Nowadays, obstructive sleep apnea syndrome (OSAS) is assessed by polysomnography (PSG) that must perform the overnight record in the hospital sleep center and the breathing disorders index (RDI) analysis. However, high cost, time-consuming and bed shortage make doctors must perform the patient screening before recommending the patients to take the sleep monitoring in hospital overnight. The current method of screening is from the information of the questionnaire and obesity level. However, such screening method is too subjective to lead to excess medical resources consumption and high medical cost.
Therefore, this study aims to develop a portable sleep monitoring system as the objective screening for OSA. This system is able to record four kinds of physiological signals including electrocardiogram (ECG), blood oxygen saturation (SpO2), respiratory status and snoring. The system integrates with smart phone as a back-end display, storage and computing device with Bluetooth wireless technology.
The hardware of system is embedded and modular. It has several advantages, including miniaturization, low cost, small amount of sensors and high portability. The software design of the system is based on Android application. The software, RR interval and heart rate immediately obtained from ECG lead II. The respiratory rate and respiratory intensity can be obtained from ECG lead V1 through the algorithm. In addition, it has a digital low-pass filter for signal filtering. Moreover, the system has a user-friendly user interface that could be widely accepted.
摘要 I
Abstract II
誌謝 III
Chapter 1 Introduction 1
1.1 Motivations and the aims of this study 1
1.1.1 Introduction to OSA 2
1.1.2 Screening of OSA 4
1.1.3 Diagnosis of OSA 5
1.1.4 Respiratory Disturbance Index (RDI) 6
1.2 Portable sleep monitoring system 7
1.3 Literature review 8
Chapter 2 Physiological signals 11
2.1 Photoplethysmograph 11
2.2 Blood oxygen saturation 13
2.3 Electrocardiography 14
2.4 Heart rate variability 16
Chapter 3 Methodology 17
3.1 System design 17
3.2 The hardware of the system 18
3.2.1 The part of the system module 18
3.2.2 The power circuit 21
3.2.3 The integration circuit 22
3.3 The software of the system 23
3.3.1 Bluetooth connection thread 24
3.3.2 Bluetooth socket read thread 25
3.3.3 Main activity 26
3.3.4 Draw thread 26
3.3.5 Audio record thread 27
3.3.6 Low-pass digital filter design 28
3.3.7 Respiratory status calculation 30
3.3.8 Heart rate calculation 33
Chapter 4 Results and Discussions 34
4.1 The hardware of the system 34
4.2 The software of the system 35
4.3 User interface 36
4.4 System verification 36
4.5 Operation sequence flowchart 39
4.6 The system actual test 39
Chapter 5 Conclusions 46
References 47
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