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{
    "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/"
        }
    ]
}