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作 者:Wanlin Lai Leihao Sha Rui Li Shan Yu Ling Jin Ruiqi Yang Chao Yang Lei Chen 赖婉琳;沙雷皓;李锐;于珊;金灵;杨蕊琦;杨超;陈蕾
机构地区:[1]Department of Neurology,West China Hospital,Sichuan University,Chengdu 610041,China [2]Sichuan Provincial Engineering Research Center of Brain-Machine Interface,and Sichuan Provincial Engineering Research Center of Neuromodulation,West China Hospital,Sichuan University,Chengdu 610041,China [3]Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province,Hangzhou 310000,China
出 处:《Science Bulletin》2024年第24期3844-3848,共5页科学通报(英文版)
基 金:supported by the Sichuan University West China Hospital Achievement Transformation Fund(CGZH19014).
摘 要:Unpredicted seizures significantly affect the well-being of patients with epilepsy,resulting in increased disability and mortal-ity rates due to seizure-related accidents[1].As such,the current lack of practical seizure prediction methods remains a substantial challenge.Earlier studies on seizure prediction predominantly relied on prolonged electroencephalogram(EEG)monitoring,achieving predictive capabilities up to two hours in advance[2,3].
关 键 词:SEIZURE EPILEPSY prediction
分 类 号:R742.1[医药卫生—神经病学与精神病学]
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