ECG Feature Extraction and Classification Using Cepstrum and Neural Networks

NCUIR > Engineering College > Graduate Institute of Mechanical Engineering > journal & Dissertation > Item 987654321/30272

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/30272

Title:	ECG Feature Extraction and Classification Using Cepstrum and Neural Networks
Authors:	Jen,Kuo-Kuang;Hwang,Yean-Ren
Contributors:	機械工程研究所
Keywords:	LINEAR PREDICTION;QRS DETECTION;VERIFICATION;TRANSFORMS;WAVELET
Date:	2008
Issue Date:	2010-07-06 16:15:49 (UTC+8)
Publisher:	中央大學
Abstract:	An integrated system for ECG diagnosis that combines cepstrum coefficient method for feature extraction from long-term ECG signals and artificial neural network (ANN) models for the classification is presented in this paper. Unlike the previous methods u
Relation:	JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING
Appears in Collections:	[Graduate Institute of Mechanical Engineering] journal & Dissertation

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