A novel method of diagnosing premature ventricular contraction based on sparse autoencoder and softmax regression

Bio-Medical Materials and Engineering

Volumn 26, Issue , 2015, Pages S1549-S1558

  Yang, Jianli ^a   Bai, Yang ^a   Li, Guojun ^a   Liu, Ming ^a   Liu, Xiuling ^a  

^a HEBEI UNIVERSITY   (China)

Author keywords

feature extraction; PVC diagnosis; softmax regression; sparse auto encoder

Indexed keywords

DIAGNOSIS; EXTRACTION; FEATURE EXTRACTION; LEARNING SYSTEMS;

ATRIAL PREMATURE CONTRACTION; AUTO ENCODERS; EARLY DIAGNOSIS; FEATURE EXTRACTION METHODS; METHOD OF DIAGNOSING; OVERALL ACCURACIES; PREMATURE VENTRICULAR CONTRACTION; SOFTMAX REGRESSIONS;

REGRESSION ANALYSIS;

ARTICLE; CLASSIFIER; ELECTROCARDIOGRAPHY; EXTRACTION; HEART ARRHYTHMIA; HEART LEFT BUNDLE BRANCH BLOCK; HEART RIGHT BUNDLE BRANCH BLOCK; HEART VENTRICLE EXTRASYSTOLE; MATHEMATICAL ANALYSIS; PREDICTIVE VALUE; PRIORITY JOURNAL; PROBABILITY; SUPRAVENTRICULAR PREMATURE BEAT; ALGORITHM; ARTIFICIAL NEURAL NETWORK; ATRIAL PREMATURE COMPLEXES; AUTOMATED PATTERN RECOGNITION; BUNDLE-BRANCH BLOCK; COMPUTER ASSISTED DIAGNOSIS; DIFFERENTIAL DIAGNOSIS; HUMAN; PROCEDURES; REGRESSION ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; VENTRICULAR PREMATURE COMPLEXES;

ALGORITHMS; ATRIAL PREMATURE COMPLEXES; BUNDLE-BRANCH BLOCK; DATA INTERPRETATION, STATISTICAL; DIAGNOSIS, COMPUTER-ASSISTED; DIAGNOSIS, DIFFERENTIAL; ELECTROCARDIOGRAPHY; HUMANS; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VENTRICULAR PREMATURE COMPLEXES;

EID: 84977462943     PISSN: 09592989     EISSN: 18783619     Source Type: Journal    
DOI: 10.3233/BME-151454     Document Type: Article

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