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Enhancing ECG Signal Data through Denoising Features with Transformer Generative Adversarial Networks for Model Classification 1D-CNN

2023-10-18

Abstract excerpt

An important component of telemedicine's remote cardiac health monitoring of patients is the use of artificial intelligence (AI) technology to detect electrocardiograph (ECG) signals. Failure to properly diagnose and treat abnormal ECG patterns caused by arrhythmia symptoms can result in a fatal outcome. Given that arrhythmia symptoms contribute significantly to noncommunicable cardiovascular disease (CVD), which...

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Literature Corpus work
e2c24124-54fd-548b-8b15-84cdbb2f0e99
DOI
10.21203/rs.3.rs-3432401/v1
Open publication

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Enhancing ECG Signal Data through Denoising Features with Transformer Generative Adversarial Networks for Model Classification 1D-CNNDOI 10.21203/rs.3.rs-3432401/v1
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