Intelligent electrocardiogram acquisition via ubiquitous photoplethysmography monitoring
Recent advances in machine learning, particularly deep neural network architectures, have shown substantial promise in classifying and predicting cardiac abnormalities from electrocardiogram (ECG) data. Such data are rich in information content, typically in morphology and timing, due to the close c...
| Автори: | , , , , |
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| Формат: | Journal article |
| Мова: | English |
| Опубліковано: |
IEEE
2023
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