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Electrocardiogram (ECG)-based seizure detection using supervised machine-learning
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DOI：10.1016/j.neucli.2025.103098.png)
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Abstract
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We conducted a pilot study utilizing automatic delineation of electrocardiogram (ECG) and machine learning that considered all components of the ECG complex for seizure detection. The primary outcome was to assess the feasibility of this method. The secondary outcome was to identify the most effective machine learning algorithm.
Keywords:
Epilepsy
Seizures
Automated detection
Machine learning
Electrocardiogram
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