Classification of Heartbeats based on Linear Discriminant Analysis and Artificial Neural Network.

Classification of Heartbeats based on Linear Discriminant Analysis and Artificial Neural Network. Research Abstract Details 

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Classification of Heartbeats based on Linear Discriminant Analysis and Artificial Neural Network. Abstract Text:

M Song,J Lee,H Park,K Lee,

In this paper, we proposed a heartbeat classification algorithm based on linear discriminant analysis and artificial neural network. For the input of classifier, we extracted 275 input features from the first derivative signal of ECG signal and RR interval information and it was reduced to be 6 by LDA. To evaluate the performance of the proposed algorithm, we compared the result of the proposed algorithm with that of fuzzy inference system classifier. MIT-BIH Arrhythmia database were used as test and learning data. The performance of the proposed algorithm was 97.49% for sensitivity, 97.91% for specificity and 96.36% for accuracy. For the extraction of features, the first derivative signal of ECG is used only so that the real-time implementation of this algorithm was possible. And, on account of the reduction of feature dimensionality, the time cost for learning and testing can be expected.

Classification of Heartbeats based on Linear Discriminant Analysis and Artificial Neural Network. Publishing Authors By Initials

M Song,J Lee,H Park,K Lee,

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Classification of Heartbeats based on Linear Discriminant Analysis and Artificial Neural Network. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Conference proceedings : ... Annual International

VOLUME: 2

Page Numbers: 1151-3

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ISSN: 1557-170X

DAY: 6

MONTH: 02

YEAR: 2005

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LANGUAGE: eng

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Grant and Affiliation Information for Classification of Heartbeats based on Linear Discriminant Analysis and Artificial Neural Network.

AFFILIATION: Department of Biomedical Engineering, College of Health Science, Yonsei University, South Korea. E-mail: ohm9885@hotmail.com.

Country: United States

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MEDLINETA: Conf Proc IEEE Eng Med Biol So

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