An Automated ECG Beat Classification System Using Deep Neural Networks with an Unsupervised Feature Extraction Technique

An Automated ECG Beat Classification System Using Deep Neural Networks with an Unsupervised Feature Extraction Technique

An automated classification system based on a Deep Learning (DL) technique for Cardiac Disease (CD) monitoring and detection is proposed in this paper. The proposed DL architecture is divided into Deep Auto-Encoders (DAEs) as an unsupervised form of feature learning and Deep Neural Networks (DNNs) a...

Full description

Bibliographic Details
Main Authors: Siti Nurmaini, Radiyati Umi Partan, Wahyu Caesarendra, Tresna Dewi, Muhammad Naufal Rahmatullah, Annisa Darmawahyuni, Vicko Bhayyu, Firdaus Firdaus
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Applied Sciences
Subjects:
cardiac disease
classification
deep learning
unsupervised feature learning
Online Access:https://www.mdpi.com/2076-3417/9/14/2921

Internet

https://www.mdpi.com/2076-3417/9/14/2921

Similar Items