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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Egile Nagusiak:	Sina Shafiezadeh, Gian Marco Duma, Giovanni Mento, Alberto Danieli, Lisa Antoniazzi, Fiorella Del Popolo Cristaldi, Paolo Bonanni, Alberto Testolin
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2024-04-01
Saila:	Sensors
Gaiak:	seizure prediction epilepsy electroencephalography cross-validation machine learning signal processing
Sarrera elektronikoa:	https://www.mdpi.com/1424-8220/24/9/2863
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