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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主要な著者:	Sina Shafiezadeh, Gian Marco Duma, Giovanni Mento, Alberto Danieli, Lisa Antoniazzi, Fiorella Del Popolo Cristaldi, Paolo Bonanni, Alberto Testolin
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2024-04-01
シリーズ:	Sensors
主題:	seizure prediction epilepsy electroencephalography cross-validation machine learning signal processing
オンライン･アクセス:	https://www.mdpi.com/1424-8220/24/9/2863
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