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HeartNet: Self Multi-Head Attention Mechanism via Convolutional Network with Adversarial Data Synthesis for ECG-based Arrhythmia Classification

2021-12-21

Abstract excerpt

<h4>A bstract </h4> Cardiovascular disease is now one of the leading causes of morbidity and mortality in humans. Electrocardiogram (ECG) is a reliable tool for monitoring the health of the cardiovascular system. Currently, there has been a lot of focus on accurately categorizing heartbeats. There is a high demand on automatic ECG classification systems to assist medical professionals. In this paper we proposed a...

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Literature Corpus work
4b7909eb-121f-51d0-9315-334f91547e5f
DOI
10.1101/2021.12.20.21268090
Open publication

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HeartNet: Self Multi-Head Attention Mechanism via Convolutional Network with Adversarial Data Synthesis for ECG-based Arrhythmia ClassificationDOI 10.1101/2021.12.20.21268090
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