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{
    "pk": 49642,
    "title": "Empowering Cross-Patient Adaptive-Length Epilepsy Diagnosis with ECNorm: A Channel-wise Approach",
    "subtitle": null,
    "abstract": "Automatic seizure detection leveraging artificial intelligence has gained widespread attention. However, existing research has predominantly focused on scenarios with patient-specific and fixed-time lengths, with the practical clinical applications across non-specific patients and variable time lengths remaining underexplored. To address this gap, we introduce a novel method named Electroencephalogram Channel-wise Normalization (ECNorm), designed to thoroughly explore the physical significance and data distribution characteristics of different EEG channels to minimize inter-patient variability. We applied ECNorm to a two-layer LSTM model to facilitate cross-patient adaptive-length epilepsy diagnosis. Ablation studies demonstrate that ECNorm significantly enhances the performance of simple architectures like the two-layer LSTM when compared to batch normalization and layer normalization. Leave-one-out experiments on the public CHB-MIT dataset verify that our approach surpasses existing studies across segments of varying lengths (1 and 100 seconds), establishing a new benchmark for patient-independent automated epilepsy diagnosis.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Event cognition; Electroencephalography (EEG)"
        }
    ],
    "section": "Papers with Poster Presentation",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/6mt485x8",
    "frozenauthors": [
        {
            "first_name": "Kaixuan",
            "middle_name": "",
            "last_name": "WANG",
            "name_suffix": "",
            "institution": "Guangdong Institute of Intelligence Science and Technology",
            "department": ""
        },
        {
            "first_name": "Tao",
            "middle_name": "",
            "last_name": "Lu",
            "name_suffix": "",
            "institution": "Guangdong Institute of Intelligence Science and Technology",
            "department": ""
        },
        {
            "first_name": "Shangyang",
            "middle_name": "",
            "last_name": "Li",
            "name_suffix": "",
            "institution": "Guangdong Institute of Intelligence Science and Technology",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2025-01-01T11:00:00-07:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/49642/galley/37604/download/"
        }
    ]
}