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研究生:李文太
研究生(外文):Wen-Tai Li
論文名稱:嵌入式雙鏡頭可夜視之人體呼吸偵測系統設計與建構
論文名稱(外文):Design and Implementation of an Embedded Monitor System for Detection of a Patient’s Breath by Double Webcams in the Dark
指導教授:白英文白英文引用關係
指導教授(外文):Ying-Wen Bai
學位類別:碩士
校院名稱:輔仁大學
系所名稱:電子工程學系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2010
畢業學年度:98
語文別:中文
論文頁數:53
中文關鍵詞:嵌入式呼吸偵測夜視
外文關鍵詞:embedded systemBreathDark
相關次數:
  • 被引用被引用:2
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  • 評分評分:
  • 下載下載:150
  • 收藏至我的研究室書目清單書目收藏:1
傳統監測呼吸頻率方式大部份需要接觸到人體,使人體不舒適,例如阻抗性肺量計(Impedance Pneumography)或呼吸感應性體積計(Respiratory Inductive Plethysmography)。除了以上兩種方法,其它方法也大部分需直接或間接接觸人體。所以我們提出嵌入式雙鏡頭可夜視之人體呼吸偵測系統,使用雙鏡頭可提高偵測的準確率,即使病人在翻身後系統仍能準確判斷出呼吸頻率;另一方面使用紅外線投射器投射到人體,使系統於無光源時仍可繼續偵測呼吸。本設計使用數位影像處理方式來取得人體胸腔呼吸起伏狀況、完整呼吸累計次數和呼吸的頻率。當人體呼吸頻率過快、過慢或停止超過10秒時將提出警告。
n this paper we use both an embedded system and double Webcams to design an embedded monitor system for breath detection (EMSFBD) which monitors and records the patient’s breath in the dark and sends the information to a specific server through the Internet. Our design uses image processing methods to monitor and record human breath fluctuation and to calculate the breath rate. If the breath rate is too low, too fast or if an individual’s breathing stops for more than 10 seconds, our design sends out an alarm signal. Our EMSFBD consists of two parts. For the first part double Webcams are used to capture images and to transmit them to an embedded board. For the second part an image processing program using the temporal differencing algorithm to detect chest expansion and contraction to determine the breath rate is installed in the embedded board.
摘要…………………..……………………………….…………...…..i
英文摘要………………...…………………………………………………ii
目錄……………………...……………………………………………...…iii
表目錄…………………..…………………………….…………………iv
圖目錄…………………...…………………………..………………….v
一、 緒論………………………………….………………………….…1
1.1 研究動機………………………………………….………………1
1.2 研究背景…………………………….…………...………….……2
1.3 研究目的……………………………………………………….…2
1.4 國內外有關研究情況、重要參考文獻之評述……………….…3
1.5 論文架構………………………………………………………….5
二、 嵌入式單鏡頭人體呼吸偵測系統設計與建構…………………6
2.1 呼吸簡介…………………………………...……...……………...6
2.2 嵌入式系統簡介…………………..……………………………...7
2.3 嵌入式作業系統簡介………….……...……………………….9
2.3.1 Windows CE簡介..………………..….………………….....…..10
2.3.2 Embedded Linux 簡介…………..….………………….....……13
2.4 硬體模組簡介………………………………………………….15
2.4.1 DMA-6410XP硬體平台簡介……………..….………………..15
2.5 嵌入式單鏡頭之人體呼吸偵測系統的硬體架構……….......…16
2.6 嵌入式單鏡頭之人體呼吸偵測系統的軟體架構…………...…18
2.6.1 OpenCV簡介………………………..….…………………..…..19
2.6.2 時間差異法………………………..….…………………….…..19
2.6.3 高斯濾波器…………………………..….………………….…..21
2.6.4 監控數據………………………..….……………………….…..22
2.7 呼吸異常判斷………………….……………………………...24
2.7.1 實驗一…..……………………..…..….………………….....…..25
2.7.2 實驗二…..………………………..….…………………..….…..26
2.7.3 實驗三…..………………………..….…………………..….…..27
2.7.4 實驗四…..………………………………………………………27
三、 嵌入式雙鏡頭人體呼吸偵測系統設計與建構…………………30
3.1 人體翻身角度探討…………………………………...…………30
3.2 嵌入式雙鏡頭之人體呼吸偵測系統的硬體…………………33
3.3 嵌入式雙鏡頭之人體呼吸偵測系統人機介面………………35
3.4 偵測距離探討…………………………………………………36
3.4.1 解析度640*480鏡頭的可偵測範圍探討………...………....…36
3.4.2 解析度1280*960鏡頭的可偵測範圍探討…...………..…....…37
3.4.3 解析度2048*1536鏡頭的可偵測範圍探討…...……....…....…37
3.5 單攝影機與雙攝影機之特性比較………………………...……39
四、 嵌入式紅外線輔助光源呼吸偵測設計和建構…………………40
4.1 紅外線簡介…………………………………………………...…40
4.1.1 紅外線投射器簡介…………………………….….……………41
4.2 Webcam簡介....…………………………………...…..…………41
4.3 嵌入式雙鏡頭可夜視之人體呼吸偵測系統硬體架………...…43
4.4 實驗結果……….......................................................................…44
五、 結論………………………………..……………………….…….45
5.1 嵌入式單鏡頭人體呼吸偵測系統設計與建構結論………...…45
5.2 嵌入式雙鏡頭人體呼吸偵測系統設計與建構結論…………...45
5.3 嵌入式紅外線輔助光源呼吸偵測設計與建構結論………….46
5.4 未來研究方向…………………………….……………….…….46
參考文獻………………………………………………………….………47
附錄………………………………………………………….……………53
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