這幾年常有新聞報導疲勞駕駛所引起的交通事故，甚至有研究指出疲勞駕駛發生危險的程度與酒駕相當，睡眠不足的駕駛者經過長時間行駛後，會感受到嚴重的疲勞、昏昏欲睡、反應緩慢的生理狀況，如果沒有即時的停車休息，將可能釀成嚴重的交通事故。所以本論文致力於開發一套即時疲勞度偵測系統，藉由心電訊號量測，觀察駕駛者在駕駛過程時的生理參數變化，期望在駕駛者有過度疲勞或是生理異常的情況時，能於行動裝置上即時提供警示與相關健康資訊給駕駛者參考。
本論文透過非直接接觸式心電訊號量測，偵測R-peak位置並記錄心率變異訊號(R-R Interval序列)，再根據心率變異度國際標準的量測方法與參數定義進行時域及頻域上的分析，在頻域分析方面，我們使用微控制器內建的數位訊號處理器透過Welch傅立葉方法得到心率變異訊號的頻譜資訊，而透過心率變異度時域分析與頻域分析得到的生理參數，我們便可以進行疲勞度之分析。
由實驗結果發現，非直接接觸式心電訊號與生理監視器所量測的傳統心電訊號相差無幾，可應用於心率變異度分析。從實驗二的結果可以得知，六位受測者的低頻/高頻比值(LF/HF)參數在疲勞狀態時高於精神飽滿狀態。另外，於模擬開車環境的實驗三結果發現，頻域分析的低頻/高頻比值大致與自評疲勞呈現相同趨勢。

As number of news have reported traffic accidents caused by driving fatigue, and some research study has also pointed out that the driving accidents due to driving fatigue, however, is as malignant as drink driving. When driver is affected by lack of sleep and a long-term driving, the driver tends to suffer from fatigue, poor judgment and slow reaction time. And a critical car accident may have occurred if the driver doesn’t take a rest at the time. Therefore, the aim of the thesis is to develop a fatigue detection system based on ECG monitoring. To observe the variation of the vital signs when driving, in order to provide alerts and related information to the drivers by portable devices in real-time when they are exhausted or abnormal.
In this research, an indirect-contact ECG measurement is used to detect R-peak positions and the heart rate variability (HRV, which also refers to R-R Interval array). Then analyze the data in time-domain and frequency-domain based on standards of measurement and physiological interpretation of HRV. In frequency domain, an internal digital signal processor of the microcontroller is used to access the spectral information of the HRV by the Welch’s method. Furthermore, we can apply the vital signs to fatigue analysis by time- and frequency-domain.
Despite the measuring results of the proposed indirect-contact ECG measurement are almost the same as the conventional ECG detection, the proposed one can be applied on the analysis of the HRV. The result of six subjects in the second experiment shows that the LF/HF of fatigue is larger than the ratio of freshness. Moreover, in the simulated driving experiment, the LF/HF value shows high consistency to the subject's self-judgement.

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