DocumentCode
1615209
Title
Pattern recognition technique to QRS complex classification
Author
Chang, Walter H. ; Lin, K.P. ; Lee, R.Y.
Author_Institution
Chung Yuan Christian Univ., Chung Li, Taiwan
fYear
1989
Firstpage
32
Abstract
A pattern recognition method is presented for QRS-complex classification. The linear prediction method is used to extract feature vectors of ECG signal, and the error correction rule is used to obtain the exact weight vector by training some prototype feature vectors. Then, every feature vector of the QRS-complex is decided in each class by a linear discriminant function. The MIT-BIH database was used to evaluate the present algorithm, and the results of classification have precisions of over 99%
Keywords
electrocardiography; pattern recognition; ECG signal feature vectors; MIT-BIH database; QRS complex classification; linear discriminant function; linear prediction method; pattern recognition method; prototype feature vectors; Biomedical engineering; Electrocardiography; Error correction; Feature extraction; Heart; Pattern recognition; Prediction methods; Prototypes; Spatial databases; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location
Seattle, WA
Type
conf
DOI
10.1109/IEMBS.1989.95557
Filename
95557
Link To Document