基於快速傅立葉轉換的非接觸式心率量測方法之研究｜國立臺灣科技大學博碩士論文系統

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研究生：	楊景宇 Ching-yu Yang
論文名稱：	基於快速傅立葉轉換的非接觸式心率量測方法之研究 A Study of Non-contacted Heart Rate Measurement Method Based on Fast Fourier Transform
指導教授：	林淵翔 Yuan-Hsiang Lin
口試委員:	林敬舜 none 阮聖彰 none 林昌鴻 none
學位類別：	碩士 Master
系所名稱：	電資學院 - 電子工程系 Department of Electronic and Computer Engineering
論文出版年：	2014
畢業學年度：	102
語文別：	中文
論文頁數：	56
中文關鍵詞：	非接觸式心率量測、快速傅立葉轉換、智慧型手機
外文關鍵詞：	non-contacted heart rate measurement, Fast Fourier Transform, smartphone
相關次數：	點閱：557 下載：6
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本篇論文使用Android平台開發一套可以使用內建相機即時量測臉部心率變化的APP應用程式。透過快速傅立葉轉換，我們可以將處理過的影像訊號轉換成功率頻譜，從頻譜中我們可以尋找最大的峰值再轉換成心率。在固定量測區域 (Region of Interest, ROI)的靜態實驗中，在外加光源和一般環境光源的條件下，量測到的心率準確率分別為97.98%和98.01%。

In this thesis, we developed an Android APP to detect the heart rate in real time using built-in camera on the smartphone. The green-color signal of camera is transformed into the power spectrum by Fast Fourier Transform (FFT). Then, we find out the maximum peak and calculate the heart rate value from the power spectrum. In the experiment results, the average accuracy rate is 97.98% and 98.01% on an adding light environment and the normal light environment separately.

摘要 I
Abstract II
誌謝 III
圖目錄 VI
表目錄 VII
第一章	緒論 1
1.1	研究動機與目的 1
1.2	論文架構 4
第二章	研究背景與論文回顧 5
2.1	心電訊號量測 5
2.2	其他心率量測方法 6
第三章	系統設計與方法 8
3.1	心率APP程式基本架構 8
3.2	影像處理 10
3.2.1	影像處理程序與演算法 10
3.2.2	正規化 11
3.3	快速傅立葉 14
第四章	實驗結果與討論 16
4.1	MATLAB影像區域分析實驗 16
4.1.1	實驗設計 16
4.1.2	實驗配備 16
4.1.3	受測人員 17
4.1.4	影像分析處理 17
4.1.5	實驗結果與分析一 18
4.2	Android心率APP與DASH 3000比較實驗 28
4.2.1	實驗設計 28
4.2.2	實驗配備 29
4.2.3	受測人員 30
4.2.4	影像處理分析 30
4.2.5	實驗結果與準確率分析 31
4.3	Android心率APP與“我的心跳”APP比較 33
4.3.1	實驗設計 33
4.3.2	實驗配備 33
4.3.3	受測人員 35
4.3.4	實驗結果與準確率分析 35
第五章	結論與未來展望 37
參考資料 38
附錄壹外加光源下的APP準確度實驗數據 41
附錄貳一般環境光源APP準確度實驗數據 49

                                

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