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...
| Autores principales: | , , , , |
|---|---|
| Formato: | Journal article |
| Lenguaje: | English |
| Publicado: |
IEEE
2023
|