title: [Method for ECG classification based on the neural network].
abstract: The article adopts the BP neural network and probability neural network in classifying four arrhythmias (LBBB, RBBB, Paced Beat, Ventricular Escape Beat) and one normal beat, and their test results of the automatic classification and imitation study are 97.62% and 95.88%, showing an improved efficient classification.
authors.affiliation: Department of Automatic Control, Northwestern Polytechnical University, Xi'an.
authors.forename: Jing-Zhou
authors.initials: JZ
authors.lastname: Zhang
authors.forename: Chen
authors.initials: C
authors.lastname: Li
authors.forename: Ting
authors.initials: T
authors.lastname: Li
authors.forename: Liang-Xiao
authors.initials: LX
authors.lastname: Zhang