音乐视频诱发下EEG信号的唤醒度智能分类方法

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中图分类号：TP274 文献标志码：A 文章编号：1671-5276（2025）06-0120-06

Abstract：Arousal，acoreconceptinthetheoryofhumanemotion，isof greatbenefittothedetectionandtreatmentofbrain diseases.Thispaper proposesanintelligent arousal clasification methodforelectroencephalogram signalsinducedbymusic videos，todistinguishhighfromlowarousal.First，DEAPpublicdatasetisused，and15electrodechannelsrelatedtoarosalae selected.Eachchannelundertakestheprocessofbandpassfiltering，down-sampling，featureextraction，datapreproessingnd samplenormalization.Finall，twolasicmachinelearningclassifiers，i..supportvectormachinesandandomforests，areused to achieve binaryarousal clasification.Theexperimentalresultsvalidated thebengn performanceof theproposedarousal classficationmethod，whichcouldbebeneficialtotheclinicaldiagnosis，treatmentandrehabilitationmontoringofbraindiseases such as autism and Alzheimer's disease.

Keywords：EEG signals；arousal classification；music video induction；machine learning

0 引言

人类的情感包含多种主观认知和体验。（剩余8333字）