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研究生:張佑祥
研究生(外文):CHANG, YU-HSIANG
論文名稱:個人化運動之PM2.5吸入量預測模型及平台建置
論文名稱(外文):Personalization Exercise of PM2.5 Inhalation Prediction Model and Platform Deployment
指導教授:張玉山張玉山引用關係
指導教授(外文):CHANG, YUE-SHAN
口試委員:袁賢銘黃有評楊朝棟王尉任
口試委員(外文):YUAN, SHYAN-MINGHUANG, YO-PINGYANG, CHAO-TUNGWANG, WEI-JEN
口試日期:2017-07-25
學位類別:碩士
校院名稱:國立臺北大學
系所名稱:資訊工程學系
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:2017
畢業學年度:105
語文別:中文
論文頁數:59
中文關鍵詞:PM2.5吸入量PM2.5留存量PM2.5與運動
外文關鍵詞:PM2.5 inhalationPM2.5 retentionPM2.5 and exercise
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  • 收藏至我的研究室書目清單書目收藏:1
近年來,空氣品質越來越受到大眾的關注,很多的研究證實空氣污染之一的PM2.5會直接影響人體健康。根據許多流行病學研究已經證明了PM2.5的健康危害,包括早死,支氣管炎,氣喘,心血管疾病,肺癌等。另外國人運動的風氣也日異盛行,根據教育部體育署的104年運動調查報告中,國人平常有在做運動的比例為83%,其中又以戶外休閒運動佔最大的比例,前三名分別為走路/散步42.4%;慢跑27.8%;籃球12.7%等戶外運動,因此每個人運動時PM2.5的吸入量及留存量將是值得關注的重點。本研究的目的在於建立一個系統來預測運動時的PM2.5吸入量及留存量,我們利用問卷收集社會大眾對於運動場域的PM2.5認知,並且使用Bruce Protocol心肺檢測功能來尋找心率以及換氣量之關係,接著使用指數迴歸建立換氣量模型用來推測PM2.5吸入量及留存量,並且設計了一個APP可以讓使用者知道運動後的PM2.5吸入量以及留存量以達到警示的效果。
In recent years, air quality and the environmental quality are getting more and more concern in public, many people are pay attention to the air quality of their surroundings. As one of air pollution PM2.5 will be affected to human body directly, it was invisible to the naked eye. According to many epidemiological studies have demonstrated the health hazards of PM2.5, including early death, bronchitis, asthma, cardiovascular disease, lung cancer, and etc.
According to the Ministry of Education Sports Department of the 104 year exercise survey report, the people have to do exercise is about 83%, which the largest proportion is outdoor sports. The top three are walking 42.4%; jogging 27.8%; basketball 12.7% and other outdoor sports, we focus on PM2.5 inhalation and retention after exercise. The goal of this study was to establish a system to predict PM2.5 inhalation and retention during exercise. We used questionnaires to collect user awareness of PM2.5 in the exercise field and use Bruce Protocol to determine heart rate and ventilation. And then use the exponential regression to establish the ventilation model used to predict PM2.5 inhalation and retention, and the design an APP allows the user to know the PM2.5 inhalation after the exercise and retention to reach the warning effect.

ABSTRACT IV
圖目錄 VII
表目錄 VIII
第一章 緒論 1
1.1 背景與動機 1
1.2 目標與貢獻 2
1.3 論文架構 4
第二章 相關研究 5
2.1 PM2.5監測 5
2.2 PM2.5吸入量計算 5
2.3 心率與換氣量的關係 6
2.4 運動與PM2.5之關係 7
2.5 PM2.5留存量計算 8
第三章 運動者對於PM2.5的認知 10
3.1 預試問卷 10
3.1.1 預試問卷調查方向 10
3.1.2 預試問卷設計 10
3.1.3 預試問卷分析 12
3.2 正式問卷統計分析結果 15
3.3 結果討論 17
第四章 PM2.5吸入量及留存量計算 18
4.1 受測者條件 18
4.2 實驗流程 21
4.3 實驗結果 23
第五章 系統設計與實現 28
5.1 系統設計 28
5.1.1 行動式PM2.5感測器 28
5.1.2 心率手環 30
5.2 系統架構與流程 31
5.2.1 PM2.5濃度資料接收模組 33
5.2.2 心率數據擷取模組 34
5.2.3 PM2.5吸入量/留存量計算模組 38
5.2.4 歷史資料模組 38
5.3 系統實作結果 39
第六章 系統評估 45
6.1 系統使用性尺度評量(System Usability Scale,SUS) 45
6.1.1 SUS問卷分析與結果 45
6.1.2 結果討論 48
6.2 系統執行時間 48
第七章 結論與未來目標 49
參考文獻 50
附錄A 運動者對於PM2.5的認知-預試問卷 53
附錄B 運動者對於PM2.5的認知-正式問卷 55
附錄C 系統易用性探討 57
附錄D 人體試驗審查核可證明 58


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