Deep Learning-Based Stacked Denoising and Autoencoder for ECG Heartbeat Classification

The electrocardiogram (ECG) is a widely used, noninvasive test for analyzing arrhythmia. However, the ECG signal is prone to contamination by different kinds of noise. Such noise may cause deformation on the ECG heartbeat waveform, leading to cardiologists’ mislabeling or misinterpreting h...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Main Authors: Siti Nurmaini, Annisa Darmawahyuni, Akhmad Noviar Sakti Mukti, Muhammad Naufal Rachmatullah, Firdaus Firdaus, Bambang Tutuko
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2020-01-01
Colecção:Electronics
Assuntos:
heartbeat classification
arrhythmia
denoising autoencoder
autoencoder
deep learning
Acesso em linha:https://www.mdpi.com/2079-9292/9/1/135
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados