@inproceedings{7349cbea7f184642b26c917aea0b5052,
title = "Automatic detection of ST and T episodes using polynomial approximation",
abstract = "The morphological change of ECG is the important diagnostic parameter to finding the malfunction of a heart. Accordingly, physicians make theirs effort to find the change of ST segment level, RR interval, PR interval, P wave, T wave, etc. Generally ST segment deviation and T deviation is concerned with myocardial abnormality. The aim of this study is to detect the change of ST and T in shape using a polynomial approximation method. The developed algorithm makes the least squares curve for the data between S wave and T wave in ECG and calculates the variance of ST and T shape. An approximate curve of ST is represented by one polynomial over the whole ST or three polynomials for the segmented ST by three parts. We applied the developed algorithm to the ECGs in European ST database. The algorithm detects the relative change of ST shape based on the reference ST that is the average ST about 10 ST from the beginning of test ECG. We compared the annotations checked by cardiologists with the result of our algorithm. From the results of the auto-analysis using our algorithm, we could acquire the information about the place including ST and T episode in the test ECG.",
keywords = "ECG, Morphological change, Polynomial approximation, ST segment",
author = "Jeong, \{G. Y.\} and Yu, \{K. H.\}",
note = "Publisher Copyright: {\textcopyright} International Federation for Medical and Biological Engineering 2007.; 10th World Congress on Medical Physics and Biomedical Engineering, WC 2006 ; Conference date: 27-08-2006 Through 01-09-2006",
year = "2007",
doi = "10.1007/978-3-540-36841-0\_268",
language = "English",
isbn = "9783540368397",
series = "IFMBE Proceedings",
publisher = "Springer Verlag",
number = "1",
pages = "1119--1122",
editor = "Kim, \{Sun I.\} and Suh, \{Tae Suk\}",
booktitle = "IFMBE Proceedings",
edition = "1",
}