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An efficient compression of ECG signals using deep convolutional autoencoders

Article ID Journal Published Year Pages File Type
6853695 Cognitive Systems Research 2018 14 Pages PDF
Abstract
The block representation of the proposed CAE model for ECG compression.
Keywords
AutoencodersECG signalsSignal compressionDeep learning
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Preview
An efficient compression of ECG signals using deep convolutional autoencoders
Authors
Ozal Yildirim, Ru San Tan, U. Rajendra Acharya,
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