Litcius/Paper detail

ECG Classification Using Deep CNN Improved by Wavelet Transform

Yunxiang Zhao, Jinyong Cheng, Ping Zhan, Xueping Peng

2020Computers, materials & continua/Computers, materials & continua (Print)53 citationsDOIOpen Access PDF

Abstract

Atrial fibrillation is the most common persistent form of arrhythmia. A method based on wavelet transform combined with deep convolutional neural network is applied for automatic classification of electrocardiograms. Sinc... | Find, read and cite all the research you need on Tech Science Press

Topics & Concepts

Convolutional neural networkArtificial intelligenceWavelet transformPattern recognition (psychology)WaveletComputer scienceDeep learningDiscrete wavelet transformECG Monitoring and AnalysisEEG and Brain-Computer InterfacesAnomaly Detection Techniques and Applications
ECG Classification Using Deep CNN Improved by Wavelet Transform | Litcius