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研究生: 林冠廷
Guan-Ting Lin
論文名稱: SCG 心震圖特徵點標記方法及分析
Seismocardiogram Feature Points Marker Method and Analysis
指導教授: 張以全
Peter I-Tsyun Chang
張春梵
Chun-Fan Chang
口試委員: 張以全
張春梵
劉孟昆
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: 2023
畢業學年度: 111
語文別: 中文
論文頁數: 72
中文關鍵詞: SCG特徵點標記HRVCTI相關性Valsalva
外文關鍵詞: SCG, Feature points marker, HRV, CTI, Correlated, Valsalva
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  • 現代人壓力大加上吸菸、喝酒等這些都是造成心血管疾病發生的原因,然而 心血管疾病出現的無聲無息,許多案例都是平時看似健康卻突然病發離開造成悲 劇,因此定期檢查和快速的診斷技術顯得格外重要。SCG 為非侵入性診療技術, 透過將加速計貼附在胸腔量測心臟跳動產生的震動,其優點為能夠快速量測及分 析且使用儀器成本較低。本研究同步量測三種生理訊號 ECG、SCG、PPG,整合 並提出一種標記 SCG 特徵點之程序,此方法能夠更加精確標記出代表心臟收縮時 的重要時間點 AO 且 AC 標註範圍將隨著心跳週期時間長短放大或縮小,最後提 取出心跳間期及相關特徵點進行相關性分析,並透過模擬輕度 Valsalva 動作改變 心臟作動狀態後進行 HRV 及 CTI 分析觀察數據變化,根據研究成果顯示三種訊號 心跳間期及 HRV 指標皆呈現高度相關性,CTI 變化分析成果同樣符合其他人的研 究成果,因此 SCG 是具備參考價值能夠應用至臨床實驗上。


    The high level of stress, smoking and drinking are all causes of cardiovascular dis- ease in the modern world.SCG is a non-invasive diagnostic technique that measures the vibrations of the heartbeat by attaching an accelerometer to the chest cavity. It has the advantage of rapid measurement and analysis with low cost of instrumentation. In this study, three physiological signals, ECG, SCG, and PPG, were measured simultaneously. We proposed a procedure to accurately mark SCG feature points, which can precisely identify important time points AO representing cardiac contractions, and the AC marking range will scale with the length of the cardiac cycle. Finally, we extracted the inter-beat intervals and related feature points for correlation analysis. By simulating mild Valsalva maneuvers to alter the cardiac state, we performed HRV and CTI analyses to observe data changes. The research results demonstrated a high correlation between the inter-beat in- tervals and HRV indices of the three signals. The CTI analysis results also aligned with other research findings. Therefore, SCG has valuable reference value and can be applied in clinical experiments.

    論文摘要 Abstract 誌謝 目錄 圖目錄 表目錄 符號說明 1 緒論 1.1 前言 1.2 研究背景 1.2.1 心臟 1.2.2 心臟電作動 1.2.3 心臟機械作動 1.2.4 常見生理訊號檢測方法 1.3 研究動機與目的 1.4 論文架構 2 文獻回顧 2.1 心震圖(SCG) 2.1.1 SCG歷史 2.1.2 SCG說明 2.1.3 SCG信號分析 2.2 HRV 2.2.1 自律神經系統 2.2.2 常見分析指標 3 研究方法&實驗架構 3.1 信號採集 3.1.1 感測器 3.1.2 PuTTY 3.1.3 採集方式 3.2 信號過濾&特徵點標註 3.2.1 ButterworthFilter 3.2.2 ECG&PPG信號 3.2.3 SCG信號 4 實驗結果分析 4.1 相關性分析 4.1.1 Bland-Altman分析 4.1.2 Pearsoncorrelation分析 4.2 HRV 4.3 CTI分析 5 結論與未來展望 5.1 結論 5.2 未來展望 參考文獻

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