文章基本信息

标题：Automatic Detection Of Electrocardiogram ST Segment: Application In Ischemic Disease Diagnosis
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作者：Duck Hee Lee ; Jun Woo Park ; Jeasoon Choi 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2013
卷号：4
期号：2
DOI：10.14569/IJACSA.2013.040222
出版社：Science and Information Society (SAI)
摘要：The analysis of electrocardiograph (ECG) signal provides important clinical information for heart disease diagnosis. The ECG signal consists of the P, QRS complex, and T-wave. These waves correspond to the fields induced by specific electric phenomenon on the cardiac surface. Among them, the detection of ischemia can be achieved by analysis the ST segment. Ischemia is one of the most serious and prevalent heart diseases. In this paper, the European database was used for evaluation of automatic detection of the ST segment. The method comprises several steps; ECG signal loading from database, signal preprocessing, detection of QRS complex and R-peak, ST segment, and other relation parameter measurement. The developed application displays the results of the analysis.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Electrocardiogram (ECG); Ischemia; European ST-T database; QRS complex ; ST segment.