The Use of Time-Frequency Moments as Inputs of LSTM Network for ECG Signal Classification

The Use of Time-Frequency Moments as Inputs of LSTM Network for ECG Signal Classification

This paper refers to the method of using the deep neural long-short-term memory (LSTM) network for the problem of electrocardiogram (ECG) signal classification. ECG signals contain a lot of subtle information analyzed by doctors to determine the type of heart dysfunction. Due to the large number of...

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Bibliographic Details
Main Authors: Grzegorz Kłosowski, Tomasz Rymarczyk, Dariusz Wójcik, Stanisław Skowron, Tomasz Cieplak, Przemysław Adamkiewicz
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Electronics
Subjects:
artificial neural networks
machine learning
spectral analysis
time series analysis
ECG signal classification
Online Access:https://www.mdpi.com/2079-9292/9/9/1452

Internet

https://www.mdpi.com/2079-9292/9/9/1452

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