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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 蕭朱杏(Chuhsing Kate Hsiao) | |
| dc.contributor.author | Jung-Sheng Chen | en |
| dc.contributor.author | 陳榮陞 | zh_TW |
| dc.date.accessioned | 2022-11-25T07:57:54Z | - |
| dc.date.copyright | 2021-11-02 | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2021-10-26 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/82692 | - |
| dc.description.abstract | "手部配戴腕動計(wrist-worn device)能紀錄受試者其手部活動的狀況，搜集其 手部在 X、Y、Z 三軸加速度的時序資料。這些資料經由 R 軟體中的套件 GGIR 校正後，能計算出代表活動狀況的兩個變數，手部活動量(Euclidean norm minus one, ENMO)與手部抬升角度(angle!)數值，並透過 HDCZA (Heuristic algorithm looking at Distribution of Change in Z-Angle)演算法估計每日的睡眠期間及睡眠參 數。本研究首先結合英國生物樣本庫(UK Biobank, UKB)腕動計資料、自填睡眠問 題以及 GGIR 的應用之睡眠變數，將手部活動代表的睡眠狀態的時序資料，利用 快速傅立葉轉換找出睡眠期間手部活動的特徵，並利用這些特徵，進行不同睡眠 狀態的分類。接下來本研究針對不同睡眠狀態組別，利用英國生物樣本庫紀錄的 自填睡眠變數，描述不同組別之個體在這些睡眠變數的不同，並找出與睡眠狀態 組別相關的變數，進而建立出能預測睡眠狀態組別之模式。研究結果顯示，這樣 的分析流程能分類不同睡眠狀態的組別，而且這些組別與已知的睡眠參數有相關 性。未來或許能藉由腕動計資料，來輔助評估個體的睡眠狀態。" | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-25T07:57:54Z (GMT). No. of bitstreams: 1 U0001-1910202121280800.pdf: 5089408 bytes, checksum: 4548a109211ff346de175fc598c02297 (MD5) Previous issue date: 2021 | en |
| dc.description.tableofcontents | 致謝 i 中文摘要 ii Abstract iii 目錄 iv 圖目錄 vi 表目錄 vii 第一章 背景 1 1.1 腕動計資料背景 1 1.2 研究動機與目標 2 第二章 材料與方法 6 2.1 資料介紹 6 2.2 研究變數 7 2.3 統計分析 8 2.3.1 快速傅立葉轉換與振幅性質 9 2.3.2 快速傅立葉轉換變數的資料結構 11 2.3.3 快速傅立葉轉換特徵選取 13 2.3.4 以個人睡眠變數進行K-means分群分析 15 第三章 結果 18 3.1 分群過程與分群後的人口統計資料 18 3.2 分群結果與手部活動特徵的關聯性 19 3.3 分群結果與三種睡眠變數的關聯性 20 3.3.1 8個GGIR的睡眠變數 22 3.3.2 根據睡眠習慣自行計算的睡眠變數 23 3.3.3 UKB紀錄的潛在的MDD症狀變數與受試者自填睡眠變數 24 第四章 討論 26 參考文獻 30 附錄 55 附錄1 以振幅排序前20%作為個人睡眠變數的分析結果 55 附錄2 分析結果不受隨機抽樣分析用資料集的影響 62 附錄3 以UKB的心理疾病紀錄作為分類睡眠困難與否的依據 65 | |
| dc.language.iso | zh-TW | |
| dc.subject | 睡眠狀態 | zh_TW |
| dc.subject | 重度憂鬱症 | zh_TW |
| dc.subject | 腕動計 | zh_TW |
| dc.subject | 快速傅立葉轉換 | zh_TW |
| dc.subject | R軟體套件GGIR | zh_TW |
| dc.subject | GGIR | en |
| dc.subject | major depression disorder | en |
| dc.subject | wrist-worn device | en |
| dc.subject | FFT | en |
| dc.subject | sleep status | en |
| dc.title | 以傅立葉轉換之腕動計資料探討睡眠狀態的特徵與差異 | zh_TW |
| dc.title | Feature Extraction and Classification of Sleep Status with Fast Fourier Transformed Accelerometer Data | en |
| dc.date.schoolyear | 109-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 郭柏秀(Hsin-Tsai Liu),林煜軒(Chih-Yang Tseng),盧子彬,馮嬿臻 | |
| dc.subject.keyword | 快速傅立葉轉換,腕動計,R軟體套件GGIR,睡眠狀態,重度憂鬱症, | zh_TW |
| dc.subject.keyword | FFT,wrist-worn device,GGIR,sleep status,major depression disorder, | en |
| dc.relation.page | 72 | |
| dc.identifier.doi | 10.6342/NTU202103899 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2021-10-26 | |
| dc.contributor.author-college | 公共衛生學院 | zh_TW |
| dc.contributor.author-dept | 流行病學與預防醫學研究所 | zh_TW |
| dc.date.embargo-lift | 2023-10-25 | - |
| 顯示於系所單位： | 流行病學與預防醫學研究所 | |
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