應用經驗模態與希爾伯特黃轉換探討耳脈搏訊號與心電圖訊息之比較

Research of Ear PPG Signals Compared with ECG Signals by Empirical Mode Decomposition and Hilbert-Huang Transform

隨著全國人口高齡化，及國人越來越重視健康的情況下，未來居家用保健器材將會快速成長，科技進步下量測的方式也更加簡易、即時，使用的設備亦更為輕巧方便，光體積量測 （photoplethysmogram, PPG） 為當今常用了解心率變異性 （heart rate variability, HRV） 的一種可攜式簡易裝置；本論文透過同時進行耳脈搏PPG 及醫療院所心電圖 （electrocardiogram, ECG） 設備之量測，利用希爾伯特黃轉換法 （Hilbert-Huang transform, HHT） 分解心電圖資料，藉經驗模態解離 （empirical mode decomposition） 訊號技術，消除心電圖中不必要的基線飄移 （wander line），與一般低頻雜訊，將新的資料與PPG 在頻域上做相關度比對，藉比對結果來強化耳脈博PPG 使用之正當性，便於與ECG臨床的HRV做印證。

As the population ageing and increasing public awareness on health,home healthcare devices will experience a rapid growth in the future.Measurements will become easier and more instantaneous as the technologyadvancement, while the equipment will become lighter and moreconvenient. The photoplethysmogram (PPG) is a simple and portabledevice commonly used nowadays to learn heart rate variability (HRV). Through simultaneous measurements using ear PPG and institutional electrocardiogram(ECG), the present study uses Hilbert-Huang Transform todecompose ECG data, and empirical mode decomposition technology toeliminate unwanted wander line and normal low frequency noise in theECG. Verification with clinical HRV in ECG is facilitated by evaluatingthe results from the correlative comparison in frequency domain betweenthe new data and PPG, in order to strengthen the justifiability over the useof ear PPG.