現今社會慢慢走向高齡化，且心臟性疾病死亡率也不斷的提升，因此，為了要預防心血管疾病的發生，隨時掌握自己的生理狀況是非常重要的。 光體積變化描記圖(PPG)在於即時監控生理資訊量測上，有較心電描記圖(ECG)量測簡便、成本較低等優點，但缺點在於容易受到移動干擾(motion artifact)。為了能夠準確的分析出PPG訊號隱含的生理資訊，必須解決移動干擾訊號對PPG訊號造成的影響。 本研究先以獨立成分分析法(ICA)將含有移動干擾的原始訊號分離出PPG訊號及雜訊等獨立成分，選擇含有PPG訊號之獨立成分，並以此獨立成分於頻譜中，分析PPG訊號成分的所在位置，再以此設計一個多帶通濾波器，將量測的原始訊號經過設計之多帶通濾波器，來達到消除移動干擾之目的。研究結果將以四種實驗情境呈現，分別為手指垂直移動、水平移動、快速震動及隨機移動，研究結果包含獨立成分分析法分離後的獨立成分、濾波後PPG訊號在時域及頻域的波形及偵測到的心率資訊。 When the society steadily reaches the aging society and when the heart disease death rate is continuously increasing it is important to have everyone to pay attention on his own physiological condition to prevent the occurrence of any cardiovascular disease. The Photoplethymography (PPG) is used in real time monitoring one’s physiological condition it has low cost and easy to carry advantages comparing with the ECG measurements; however it has the disadvantage of easy to suffering to motion artifacts. In order to accurately analyze the hidden information in the PPG data it needs to solve the effect of motion artifacts on the PPG signal. In this thesis it first uses the Independent Component Analysis (ICA) method to separate the PPG signal and noise signal from the original PPG signal that has been affected by motion interference; it then selects the independent part of the PPG signal and from the spectrum analysis of this independent part of PPG signal to locate the positions of the fundamental frequency, the 1st harmonic and the second harmonic of the PPG signal. It then from this spectrum plot designs a bandpass filter and uses the designed bandpass filter to reduce or eliminate the possible motion interference. Four motion artifacts such as the vertical motion of the fingers, horizontal finger motion, speeding vibration and random motions are studied. The independent components after ICA process, the PPG waveforms in the time and frequency domains after the bandpass filter, and the detected heart rate information are all presented in each study case.