臺灣博碩士論文加值系統

摘要 i
ABSTRACT ii
致謝 iv
目錄 v
表目錄 viii
圖目錄 ix
第一章 緒論 1
1.1 前言 1
1.2 研究動機 3
1.3 論文架構 3
第二章 研究背景與相關知識 5
2.1 血壓與高血壓的關係 5
2.2 傳統血壓量測方法 7
2.2.1 聽診法 7
2.2.2 共振法 8
2.3 光體積描記器 9
2.4 脈搏傳遞時間 10
2.5 決策樹 11
2.6 集成學習 12
2.7 梯度提升決策樹 13
2.8 血壓估測相關文獻 15
第三章 系統設計與實驗方法 20
3.1 系統簡介 20
3.1.1 穿戴式手錶 21
3.1.2 實驗介面設計 22
3.2 實驗設計方法與流程 24
3.2.1 實驗對象 24
3.2.2 驗證標準 25
3.2.3 實驗流程 25
3.3 資料分析方法 27
3.3.1 資料前處理與模型實驗設計 27
3.3.2 回歸樹 28
3.3.3 梯度提升決策樹估測模型 29
3.3.4 硬體規格 31
3.4 分級標準 32
第四章 實驗結果及討論 34
4.1 資料集分析 34
4.1.1 研究個案基本資料 34
4.1.2 研究資料集分佈分析 35
4.2 輸入特徵相關性分析 39
4.3 模型估測結果 44
4.3.1 不同比例資料之血壓估算結果 44
4.3.2 不同樹的數量與深度之血壓估算結果 47
4.3.3 不同的學習率之血壓估算結果 49
4.3.4 布蘭德奧特曼分析結果 53
4.3.5 不同族群資料之血壓估算結果 55
4.4 不同特徵組合之血壓估測結果 58
4.5 不同血壓估測模型比較結果 61
第五章 結論與未來展望 66
5.1 結論 66
5.2 未來展望 67
參考文獻 68

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