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A deep convolutional neural network model to classify heartbeats

A deep convolutional neural network model to classify heartbeats

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1935815795

A deep convolutional neural network model to classify heartbeats

About this item

Full title

A deep convolutional neural network model to classify heartbeats

Publisher

United States: Elsevier Ltd

Journal title

Computers in biology and medicine, 2017-10, Vol.89, p.389-396

Language

English

Formats

Publication information

Publisher

United States: Elsevier Ltd

More information

Scope and Contents

Contents

The electrocardiogram (ECG) is a standard test used to monitor the activity of the heart. Many cardiac abnormalities will be manifested in the ECG including arrhythmia which is a general term that refers to an abnormal heart rhythm. The basis of arrhythmia diagnosis is the identification of normal versus abnormal individual heart beats, and their c...

Alternative Titles

Full title

A deep convolutional neural network model to classify heartbeats

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_1935815795

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1935815795

Other Identifiers

ISSN

0010-4825

E-ISSN

1879-0534

DOI

10.1016/j.compbiomed.2017.08.022

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