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About Deep Learning For Healthcare Applications Based On Physiological Signals: A Review
This review paper examines the application of deep learning techniques for analyzing physiological signals from healthcare applications. It identifies four main types of physiological signals - electrocardiogram (ECG), electroencephalogram (EEG), electromyogram (EMG), and electrooculogram (EOG) - that have been studied using deep learning. The paper finds that deep learning performs better than traditional machine learning methods for large and varied datasets, as it can extract more relevant implicit information from the signals. However, it notes that more research is still needed to apply deep learning to a wider range of healthcare areas and with larger, more diverse datasets.
Detailed Information
| Author: | ['Goutam Agrawal'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 31 |
| Language: | English |
| Format: | |
| Price: | FREE |
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