QQ客服 官方微博 反馈留言

	An epileptic seizure prediction algorithm based on second-order complexity measure
	Jia, WY ; Kong, N ; Li, F ; Gao, XR ; Gao, SK ; Zhang, GJ ; Wang, YP ; Yang, FS
	2010-05-11 ; 2010-05-11 ; OCT
关键词	epileptic seizure prediction algorithm Lempel-Ziv complexity second-order complexity TIME-SERIES INDIVIDUAL SEQUENCES LYAPUNOV EXPONENTS EEG DYNAMICS Biophysics Engineering, Biomedical Physiology
中文摘要	The quality of life of many epilepsy patients may be improved significantly if the occurrence of epileptic seizures can be successfully forecasted and clinical intervention, such as electrical stimulation or drug delivery, can then be used to suppress their emergence, or warn the patient of the forthcoming events. In this paper, a prediction algorithm based on the second-order complexity measure was proposed to predict the impending seizures. Through the analysis of long-term intracranial EEG recordings from two frontal lobe epilepsy patients, the results indicated that the sensitivity of prediction was 77.8% (14/18) and 66.7% (4/6) and the number of false warnings was 3 and 2 for the two patients, respectively. Because only the information of past seizures was utilized to predict the current seizure and the computation load was low, the prediction algorithm could possibly be applied to clinical practice.
语种	英语 ; 英语
出版者	IOP PUBLISHING LTD ; BRISTOL ; DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/27713]
专题	清华大学
推荐引用方式 GB/T 7714	Jia, WY,Kong, N,Li, F,et al. An epileptic seizure prediction algorithm based on second-order complexity measure[J],2010, 2010, OCT.
APA	Jia, WY.,Kong, N.,Li, F.,Gao, XR.,Gao, SK.,...&Yang, FS.(2010).An epileptic seizure prediction algorithm based on second-order complexity measure..
MLA	Jia, WY,et al."An epileptic seizure prediction algorithm based on second-order complexity measure".(2010).

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。