Singh et al., 2022 - Google Patents
Attention-based convolutional denoising autoencoder for two-lead ECG denoising and arrhythmia classificationSingh et al., 2022
View PDF- Document ID
- 1358409476647587064
- Author
- Singh P
- Sharma A
- Publication year
- Publication venue
- IEEE Transactions on Instrumentation and Measurement
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Snippet
This article presents a fast and accurate electrocardiogram (ECG) denoising and classification method for low-quality ECG signals. To achieve this, a novel attention-based convolutional denoising autoencoder (ACDAE) model is proposed that utilizes a skip-layer …
- 206010007521 Cardiac arrhythmias 0 title description 15
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- A61B5/0402—Electrocardiography, i.e. ECG
- A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
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