Calibrating Deep Learning Classifiers for Patient-Independent Electroencephalogram Seizure Forecasting

The recent scientific literature abounds in proposals of seizure forecasting methods that exploit machine learning to automatically analyze electroencephalogram (EEG) signals. Deep learning algorithms seem to achieve a particularly remarkable performance, suggesting that the implementation of clinic...

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Bibliografische gegevens

Hoofdauteurs:	Sina Shafiezadeh, Gian Marco Duma, Giovanni Mento, Alberto Danieli, Lisa Antoniazzi, Fiorella Del Popolo Cristaldi, Paolo Bonanni, Alberto Testolin
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2024-04-01
Reeks:	Sensors
Onderwerpen:	seizure prediction epilepsy electroencephalography cross-validation machine learning signal processing
Online toegang:	https://www.mdpi.com/1424-8220/24/9/2863
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