Single-lead arrhythmia detection through machine learning: cross-sectional evaluation of a novel algorithm using real-world data
Background Computer-assisted interpretation of single-lead ECG is the preliminary method for clinicians to flag and further evaluate an arrhythmia of clinical importance for acutely ill patients. Critical scrutiny of novel detection algorithms is lacking, particularly in external real-world data set...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2023-11-01
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| Series: | Open Heart |
| Online Access: | https://openheart.bmj.com/content/10/2/e002228.full |