| Summary: | 碩士 === 國立中央大學 === 資訊工程學系在職專班 === 107 === Electrocardiogram is likely to find very extensive use in many application areas in recent years, however, there is no standard electrocardiographic criteria in screening after collecting the ECG data, which leads researchers have to proceed quality estimation of the ECG signal before interpreting the analysis. For improving the traditional method of signal quality estimation by the naked eye or the improved threshold, are used as statistical indicators to identify with decision tree analysis screening. A total of 200 retrieved data through Physionet database, and a total of 238 collected signals by ECG sensors and simulators are analyzed in this study. A comparison between this study and previous studies’ database in the accuracy was 95% and 93.24%, and 83%, respectively. Therefore, this study result is not influenced by the devices and individual differences and both can maintain good accuracy. Through the high level of signal accuracy quality assessment, the burden for the ECG researchers can be efficiently reduced.
|
|---|
