| Summary: | 碩士 === 國立中興大學 === 電機工程學系所 === 102 === In recent years, as a result of drunk driving accident increased, how to prevent drunk driving has been widely discussed. The main reason of the drunk driving accident is that the driver had drinking a lot of alcohol before he(she) driving. For the purpose to decrease the incidence of traffic accident, there must have an human alcohol detection mechanism to check whether the excessive alcohol content of driver. The human alcohol detection mechanism must have the function of measure the alcohol content in humans and analyzed the amount of alcohol content.
For the purpose of non-invasive alcohol detection, this thesis put forward using innovative sensing chip designed real-time ambulatory electrocardiogram and photoplethysmogram (PPG) measurement of pulse as the alcohol detection mechanism, combined with the fingertip pulse detected signal and the ECG signal to conduct pulse transit time (Pulse Transit Time, PTT) variability analysis. The computer receives both of the physiological signals from the bio-signal sensors through the USB in real time.
Pulse transit time variability analysis consists of two parts: the digital signal processing unit and database generalize model program. Signal processing algorithm includes preprocessing of the physiological signal, the R-peak detection in ECG wave and P-peak detection in PPG, signal synchronization, and calculation of the pulse transit time. Also, the database generalized model program consists of eigenvalues collection, data file creation, characterized analysis and establishment of the characteristic model.
With the collections of numerous data and construction of database in order to increase reliability of the database and also improve the accuracy of the test results. Integration of pulse transit time calculation and database is expected to provide an innovative non-invasive real-time pulse transit time variability analysis alcohol concentration detection mechanism in human blood.
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