{"pk":49393,"title":"Multi-view Feature Selection with Reinforcement Learning for EEG-based Automated ESES Diagnosis","subtitle":null,"abstract":"Electrical status epilepticus during sleep (ESES) is a serious condition that causes notable cognitive decline. It is characterized by distinct spike and slow-wave patterns on electroencephalograms (EEG). Clinical ESES diagnosis is extremely time-consuming and labor-intensive as it demands clinicians to manually interpret and count EEG screens. Existing automated diagnosis algorithms for ESES have major flaws, like struggling to adapt to complex spike-and-wave patterns and not fully exploiting the rich multi-view features of EEG. To overcome these issues, we propose a multi-view feature selection framework integrating reinforcement learning and attention mechanisms for automated ESES diagnosis. A CLEAN reward mechanism is introduced to address complex multi-objective feature selection challenges. Experiments on the clinical data consisting of 36 epilepsy patients prove the proposed method's remarkable spike-and-wave identification ability and high agreement with expert diagnoses. Our approach represents a significant step toward developing automated bedside ESES clinical diagnostic systems.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Neuroscience; Pattern recognition; Electroencephalography (EEG)"}],"section":"Papers with Poster Presentation","is_remote":true,"remote_url":"https://escholarship.org/uc/item/1gm838h8","frozenauthors":[{"first_name":"Zhipeng","middle_name":"","last_name":"He","name_suffix":"","institution":"Sun Yat-sen University","department":""},{"first_name":"Yuxuan","middle_name":"","last_name":"Li","name_suffix":"","institution":"Sun Yat-sen University","department":""},{"first_name":"Shishi","middle_name":"","last_name":"Tang","name_suffix":"","institution":"Zhongshan School of Medicine, Sun Yat-sen University","department":""},{"first_name":"Xinxin","middle_name":"","last_name":"Peng","name_suffix":"","institution":"The First Affiliated Hospital, Sun Yat-sen University","department":""},{"first_name":"Rui","middle_name":"","last_name":"Yang","name_suffix":"","institution":"Sun Yat-sen University","department":""},{"first_name":"Xuanhao","middle_name":"","last_name":"Qi","name_suffix":"","institution":"Sun Yat-sen University","department":""},{"first_name":"Ziyi","middle_name":"","last_name":"Chen","name_suffix":"","institution":"The First Affiliated Hospital, Sun Yat-sen University","department":""},{"first_name":"Yi","middle_name":"","last_name":"Zhou","name_suffix":"","institution":"Sun Yat-Sen University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2025-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/49393/galley/37355/download/"}]}