Wearable 12-Lead ECG Acquisition Using a Novel Deep Learning Approach from Frank or EASI Leads with Clinical Validation
The 12-lead electrocardiogram (ECG) is crucial in assessing patient decisions. However, portable ECG devices capable of acquiring a complete 12-lead ECG are scarce. For the first time, a deep learning-based method is proposed to reconstruct the 12-lead ECG from Frank leads (V<sub>X</sub>, V<sub>Y</s...
Bewaard in:
| Hoofdauteurs: | , , , , , , , |
|---|---|
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI AG
2024-03-01
|
| Reeks: | Bioengineering |
| Onderwerpen: | |
| Online toegang: | https://www.mdpi.com/2306-5354/11/3/293 |
| Tags: |
Geen labels, Wees de eerste die dit record labelt!
|