An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea.

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作者： Fernando,Vaquerizo-Villar ^[1] ; Gonzalo C,Gutiérrez-Tobal ^[2] ; Eva,Calvo ^[3] ; Daniel,Álvarez ^[4] ; Leila,Kheirandish-Gozal ^[5] ; Félix,Del Campo ^[4] ; David,Gozal ^[6] ; Roberto,Hornero ^[2]

作者单位： Biomedical Engineering Group, University of Valladolid, Valladolid, Spain; CIBER de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Valladolid, Spain. Electronic address: fernando.vaquerizo@gib.tel.uva.es. ^[1] Biomedical Engineering Group, University of Valladolid, Valladolid, Spain; CIBER de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Valladolid, Spain. ^[2] Biomedical Engineering Group, University of Valladolid, Valladolid, Spain. ^[3] Biomedical Engineering Group, University of Valladolid, Valladolid, Spain; CIBER de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Valladolid, Spain; Sleep-Ventilation Unit, Pneumology Department, Río Hortega University Hospital, Valladolid, Spain. ^[4] Departments of Neurology and Child Health and Child Health Research Institute, The University of Missouri School of Medicine, Columbia, MO, USA. ^[5] Office of The Dean, Joan C. Edwards School of Medicine, Marshall University, 1600 Medical Center Dr, Huntington, WV, 25701, USA. ^[6]

关键词 Deep learning Electroencephalogram (EEG)Explainable artificial intelligence (XAI)Gradient-weighted class activation mapping (grad-CAM)Pediatric obstructive sleep apnea (OSA)Sleep staging

主题词儿童(Child);人类(Humans);人工智能(Artificial Intelligence);睡眠(Sleep);睡眠呼吸暂停综合征(Sleep Apnea Syndromes);脑电描记术(Electroencephalography)

DOI 10.1016/j.compbiomed.2023.107419

PMID 37703716

发布时间 2025-01-18

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