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研究生:王聖維
研究生(外文):Sheng-Wei Wang
論文名稱:應用近紅外線之心跳測量系統
論文名稱(外文):Application of Near Infrared Heart Rate Detection System
指導教授:黃文曾譚巽言譚巽言引用關係
指導教授(外文):Wen-Tzeng HuangSun-Yen Tan
口試委員:曾宏立陳錦杏
口試委員(外文):Hung-Li TsengChin-Hsing Chen
口試日期:2016-07-27
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:電子工程系研究所
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:2016
畢業學年度:104
語文別:中文
中文關鍵詞:非接觸式、近紅外線、心跳、影像處理
外文關鍵詞:Non-Contact ; Near Infrared ; Heart Rate ; Image Processing
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傳統接觸式的心跳測量是目前普遍的測量方式,但傳統接觸式的測量儀器往往會造成許多不便,近來影像非接觸式生命體徵 (Vital Sign) 測量已經被證明是可行的,非接觸式的心跳測量可以提供更舒適的生理監控,同時也更適合用於長期家中及醫院的醫療監護,然而目前容易受到環境燈光亮度的限制,在本文中,我們將以近紅外線 (NIR)波長的特性以及影像處理克服這問題。
透過近紅外線光譜可穿透皮膚的特性作為專用光源,使用搭配Python5000影像感測器的Gen3攝影機,構成一個非侵入式非接觸式的心跳測量系統,且達到測量距離 1.2公尺以上同時降低受環境燈光影響的心跳測量系統。影像以RAW Data的格式進行轉換處理後,藉由離散小波轉換 (DWT) 快速分割不同頻段影像,並由尤拉放大 (EM) 進行影像處理強化強化影像感測器所記錄到的血液微小變化。經過有限脈衝濾波器 (FIR) 濾波後的脈衝波形即為心跳訊號。本文提出了一個有效降低環境燈光影響非接觸式的影像心跳測量系統,經由 Bland Atman分析與傳統接觸式心跳量測比較平均差異值為1.1,且優於市售的高端網路攝影機平均差異提升了2.8,其具備精確的量測使其應用相對廣泛。
In recent year, traditional contact instruments are the gold standrad techniques for measurement of the heart rate. But traditional contact measurement instruments can cause a lot of inconvenience. Current, Non-Contact Imaging Photoplethysmography (iPPG) have been proven to feasible measurement vital signs. Non-Contact measurments can provide a more comfortable physiological assessment ,and alos more suitable for long-term monitoring at home or hospital medical care. However now it susceptible to limit ambient light intensity. In this paper, we will use near-infrared (NIR) characteristics and image processing overcome this problem.
With near-infrared spectrum as a dedicated light source to penetrate through the skin. Using Python5000 Gen3 image sensor camera, constitute of a non-invasive, non-contact measurement system. Further more system measure the distance to reach 1.2 meters away and reducing ambient lighting effects heart rate measurement. Image processing conversion in RAW data format, by using discrete wavelet transform (DWT) fast segmentation image in to different frequency bands. It is for Eulerian Magnification (EM) to process image for visualizing variation of the human pluse recorded by image sensor. After finite impulse filter (FIR), heart pulse is filtered waveform signal. This paper presents an approch to reduce the ambient light of non-contact Imaging Photoplethysmography heart rate measurement system. As a result of Bland Altman value analysis with traditional contact heart rate measurement the mean difference 1.1, and compare with the commercially high-end webcam raised the mean difference 2.8, which includes accurate measurements make it a relatively broad application.
摘 要 i
ABSTRACT iii
誌 謝 v
目 錄 vi
圖目錄 viii
表目錄 xi
第一章 緒論 1
1.1 前言 1
1.2 研究動機與目的 3
1.3 研究方法 3
1.4 論文架構 4
第二章 相關背景知識介紹 5
2.1 心跳之生理意義與神經傳導原理 5
2.2 光譜相關理論 10
2.2.1 可見光 12
2.2.2 光與血液的反應 13
2.2.3 光體積變化描記圖相關原理 14
2.3 光學鏡頭原理 17
2.4 色彩空間 19
2.4.1 色彩濾波矩陣 20
2.4.2 RGB色彩空間 22
2.4.3 YUV灰階轉換 24
2.5 影像處理技術 25
2.5.1 尤拉放大 26
第三章 系統架構與設計原理 29
3.1 系統架構圖 29
3.2 紅外線投光器 30
3.3 光學鏡頭 33
3.4長通濾光片 (Long Pass Filter) 34
3.5 影像感測器 38
3.6 色彩空間轉換處理流程 39
3.7 軟體分析 41
3.7.1 離散小波轉換 42
3.7.2 高斯濾波器 45
3.7.3 FIR濾波器 47
3.7.4 正規化 49
3.7.5 心跳偵測 50
第四章 實驗與量測結果 52
4.1 實驗項目與環境 52
4.2 有無 Eulerian Magnification比較 54
4.3 環境燈開關比較 56
4.4 Webcam、Gen3比較 59
4.5 實驗討論 61
第五章 結論與未來展望 63
5.1 結論 63
5.2 未來展望 64
參考文獻 65
附錄 作者簡介 72
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