An algorithm of ST segment classification and detection

In electrocardiogram real-time monitoring, the ST segment detection is important, it has close relationship with myocardial ischemia and myocardial infarction. In this paper, ST detection is divided into two parts, firstly using wavelet and morphology method to calculate the offset direction, waveform and summarizing features of ST, eventually divide the ST in 15 types; next analyzing the ST waveform change tendency in about 30 minutes and discovering the rhythm of ischemia or infarction to help doctor. At last, the first part has been confirmed by MIT-BIH Arrhythmia database and European ST-T database and the second is proved by two experts' conclusion.