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研究生: 陳政勳
Zheng-Xun Chen
論文名稱: 具睡姿監測功能之智慧型枕墊開發
Development of Bio-pillow with Sleep-Posture Monitoring Function
指導教授: 鄭正元
Jeng-Ywan Jeng
林上智
Shang-Chih Lin
口試委員: 鄭正元
Jeng-Ywan Jeng
林上智
Shang-Chih Lin
劉哲瑋
Che-wei Liu
學位類別: 碩士
Master
系所名稱: 工程學院 - 機械工程系
Department of Mechanical Engineering
論文出版年: 2021
畢業學年度: 109
語文別: 中文
論文頁數: 75
中文關鍵詞: 睡眠睡姿枕頭設計人體計測睡姿偵測
外文關鍵詞: sleep posture, pillow design, anthropometry, Sleep-Posture Monitoring
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睡眠占了人一生三分之一的時間,是人體維持生理精神所必需的行為。枕頭提供了睡眠時,頭頸所需的支撐能力。因此一個好的枕頭對於維持睡眠品質以及生體的自然恢復是極其重要的。然而人體冠狀面上頭-肩的距離與矢狀面上頭-背的距離是不同的,枕頭也須擁有根據睡姿改變而調整高度的能力,方能睡眠期間維持脊椎之自然狀態。本研究目的在於研發一款能判斷睡眠睡姿改變,自主調整枕頭高度之智能枕頭。
本研究有四個項目:(1)因應人體在仰躺及側躺下,不同的高度需求,設計一運用氣囊調整高度之枕頭。(2)運用人體計測學數據庫,預測符合使用者睡眠之枕頭高度。(3)將幾何高度數值傳換成壓力值,研究枕頭高度與壓力值之轉換(4)對於枕頭不同的高度需求,建構能偵測睡姿,並自動調整枕頭高度之演算法。
研究結果如下,在枕頭設計部分,根據研究調查:測試者仰躺時,枕頭高度在5公分時人體肺活量(vital capacity)值上升,側躺時人體冠狀面上頭-肩寬有12~16公分的高度差,因此枕頭內部區分頭頸部位兩個氣囊,可進行打氣改變枕頭高度。並能運用人體計測學,預測使用者側躺時的頭頸高度,且達到一定的準確度。在壓力¬ 高度傳換的研究中,運用回歸法取得線性回歸方程,且擬合度達到0.9。建構一套完整的枕頭使用流程,讓使用者能自主調整其舒適的枕頭高度。在最終以氣壓曲線變化圖,驗證本研究之演算法能偵測使用者睡姿並根據睡姿的改變,調整枕頭的高度。


Sleep occupies one-third of a person’s life, and it is a necessary behavior for the body to maintain physical and mental health. Pillows provide the necessary support for the head and neck during sleep. Therefore, a suitable pillow is extremely important for maintaining the quality of sleep and the natural recovery of the body. However, the head-shoulder distance on the coronal plane of the human body is different from the head-back distance on the sagittal plane. The pillow must also have the ability to adjust the height according to changes in sleeping posture in order to maintain the natural state of the spine during sleep. The purpose of this research is to develop a smart pillow that can detect changes in sleeping posture and adjust the height of the pillow autonomously.
The research has four parts: (I) Design a pillow that uses airbags to adjust the height, in response to different height requirements of the human body when lying on its back and on its side. (II) To use the anthropometrics database to predict the pillow height that matches the user's sleep. (III) Convert the geometric height value into a pressure value, and study the conversion between pillow height and pressure value. (IV), Construct an algorithm that can detect the sleeping posture and automatically adjust the pillow height for different height requirements.
The results of the study are as follows. In the pillow design part, according to the research survey: when the user is lying on his back, the human lung capacity rises when the height of the pillow is 5 cm. When lying on the side, the head-shoulder width of the human body has a height difference of 12-16 cm. Inside the pillow, there are two airbags in the head and neck area, which can be inflated to change the height of the pillow. It can also use anthropometrics to predict the height of the user's head and neck when lying on his side, with a certain degree of accuracy. In the study of pressure-height transfer, the linear regression equation is obtained by using regression method, and the degree of fit reaches 0.9. Constructing a complete pillow usage process, allows the users to independently adjust their comfortable pillow height. Finally, the air pressure curve change graph is used to verify that the algorithm of this research can detect the sleeping posture of the user and adjust the height of the pillow according to the change of the sleeping posture.

摘要 I Abstract IV 誌謝 VI 目錄 VII 圖目錄 XI 表目錄 XIII 第一章 緒論 1 1.1 研究背景與動機 1 1.2 睡眠 2 1.2.1 睡眠的定義 2 1.2.2 睡眠品質的定義 2 1.2.3 睡眠翻身 3 1.2.4 睡眠鼾聲 4 1.3 研究目的 5 1.4 研究架構與流程 6 第二章 文獻探討 7 2.1 睡眠姿勢與健康 7 2.1.1 常見的睡姿 7 2.1.2 不良睡姿產生的疾病 9 2.2 人體計測學 11 2.3 睡姿判斷方法 11 2.3.1 接觸型睡眠監測 12 2.3.1.1 睡眠多項生理檢查(Polysomnography,PSG) 12 2.3.2 非接觸型睡眠監測 14 2.3.2.1 地震儀 14 2.3.2.2 壓力感測器 15 第三章 研究方法 17 3.1 枕頭外觀設計 17 3.2 枕頭電控系統及演算法設計 18 3.2.1 電控系統介紹 18 3.2.1.1 Arduino ATmega2560 18 3.2.1.2 MPS20N0040D壓力感測器 20 3.2.1.3 微型真空馬達(Mini Air Pump Motor) 22 3.2.1.4 直流電磁閥(Solenoid valve) 23 3.2.2 硬體架構 24 3.2.3 人體計測學資料庫應用 27 3.2.4 人體計測學應用及修正公式 28 3.2.5 頭頸氣囊高度轉換公式 29 3.3 枕頭使用流程 31 3.3.1 枕頭高度初始值預測流程 33 3.3.2 枕頭高度最終值調整流程 34 3.3.3 睡姿判斷演算法 35 第四章 實驗結果與分析 38 4.1 枕頭初始高度預測 38 4.1.1 初始高度預測驗證 38 4.1.2 初始高度預測結果討論 41 4.2 人體睡姿判斷 41 4.2.1 人體睡姿判斷驗證 41 4.2.2 人體睡姿判斷結果討論 44 第五章 結論與未來展望 45 5.1 結論 45 5.2 Future Work 45 5.2.1 鼾聲監測 45 5.2.2 枕頭APP設計 46 5.2.3 完善人體計測學數據庫的建立 46 5.2.4 人工智能 46 參考文獻 47 附錄一 51

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