An efficient compression of ECG signals using deep convolutional autoencoders
Background and objective: Advances in information technology have facilitated the retrieval and processing of biomedical data. Especially with wearable technologies and mobile platforms, we are able to follow our healthcare data, such as electrocardiograms (ECG), in real time. However, the hardware...
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| Main Authors: | , , |
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| Format: | Article |
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Elsevier
2018
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/20270/ https://doi.org/10.1016/j.cogsys.2018.07.004 |
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