Title :
An algorithm of ST segment classification and detection
Author :
Shen, Zhao ; Hu, Chao ; Liao, Jingsheng ; Meng, Max Q H
Author_Institution :
Inst. of Autom., Northwestern Polytech. Univ., Xi´´an, China
Abstract :
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.
Keywords :
diseases; electrocardiography; mathematical morphology; medical signal detection; medical signal processing; patient monitoring; signal classification; wavelet transforms; European ST-T database; MIT-BIH arrhythmia database; ST segment classification; ST segment detection; electrocardiogram real-time monitoring; morphology method; myocardial infarction; myocardial ischemia; offset direction; wavelet transform; Diseases; Electrocardiography; Heart; ISO; Myocardium; Noise; Wavelet analysis; R wave; ST segment; T wave; wavelet;
Conference_Titel :
Automation and Logistics (ICAL), 2010 IEEE International Conference on
Conference_Location :
Hong Kong and Macau
Print_ISBN :
978-1-4244-8375-4
Electronic_ISBN :
978-1-4244-8374-7
DOI :
10.1109/ICAL.2010.5585348
