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作 者:文明 林川[2] 冯占辉 王维博 Wen Ming;Lin Chuan;Feng Zhanhui;Wang Weibo(Department of Neurology,Affiliated Hospital of Southwest Jiaotong University,the Third People′s Hospital of Chengdu,Chengdu 610014,China;School of Electrical Engineering,Southwest Jiaotong University,Chengdu 611756,China;Department of Neurology,Affiliated Hospital of Guizhou Medical University,Guiyang 550004,China;School of Electrical Engineering and Electronic Information,Xihua University,Chengdu 610039,China)
机构地区:[1]成都市第三人民医院(西南交通大学附属医院)神经内科,成都610014 [2]西南交通大学电气工程学院,成都611756 [3]贵州医科大学附属医院神经内科,贵阳550004 [4]西华大学电气与电子信息学院,成都610039
出 处:《中华神经科杂志》2024年第12期1377-1381,共5页Chinese Journal of Neurology
摘 要:癫痫性发作性心脏停搏是癫痫的严重并发症之一,与癫痫发作导致的跌倒及创伤有关。伴心脏停搏的癫痫患者可能需要调整治疗方案,包括调整抗癫痫发作药物、评估癫痫手术或起搏器植入术等治疗。然而,由于临床数据不足,目前对癫痫性发作性心脏停搏的治疗尚无共识。文中综述了癫痫性发作性心脏停搏的发生机制、临床表现、辅助检查及不同治疗方案的预后。机器学习在分析该类患者长程视频脑电图结果和探究脑电图与心率变异性关联特征中存在一定应用价值,可能为其研究提供新的视角。Ictal asystole in epileptic seizure(IA)is one of the severe complications of epilepsy,which is associated with falls and traumatic injuries related to seizures.Epileptic patients with IA may require adjustment to their treatment,including antiseizure medications adjustment,evaluation for epilepsy surgery and consideration of cardiac pacemaker implantation.However,there is no consensus on treatment options for these patients.This review focuses on the mechanisms,clinical features,auxiliary examinations and the outcomes of different treatments in the IA patients.Machine learning has some application values in analyzing the long-term video electroencephalogram(EEG)results of such patients and exploring the correlated characteristics between EEG and heart rate variability,which may provide a new perspective for the research.
分 类 号:R742.1[医药卫生—神经病学与精神病学]
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