本論文提出一個自動化電腦輔助都普勒雷達的生命徵象 (呼吸、心跳) 健康照護監測數位處理器。含有心臟跳動和呼吸特徵之電壓波形信號藉由一個帶通濾波器來濾得心跳信號。 所提出的方法，結合連續小波變換（CWT）和峰值偵測，可自適應的為每個相位調變得到的都普勒雷達信號計算心率。 藉由在醫學上的成熟發展的心電圖的輔助，我們可以更完善的實現非接觸式生命徵象監測系統。此外利用心率變異（HRV）分析來做心肺疾病的預測。 實驗結果的呈現可看出，我們提出的演算法不僅提供了精確的心率計算，而且可以分析評估心率變異（HRV），進而實現非接觸式生命徵象監測系統。

An automatic computer-aided digital signal processor for Doppler radar vital signs healthcare monitoring is described. A voltage waveform signal containing heart-beat and respiration signatures are band-pass filtered for the heart signal. The proposed method, combination of continuous wavelet transform (CWT) and peak finding, is used to adaptively detect heart-beat rate for each of these phase modulated Doppler radar signals. Involving in electrocardiogram, well-developed medical aid, realizes a complete non-contact vital signs monitoring system. An investigation of heart rate variability (HRV) measurements is adopted for the cardiopulmonary disease prognosis. Experimental results show that the proposed algorithm not only provides an accurate heart rate detection but also be able to evaluate heart rate variability (HRV).

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