Evaluation of an automated spike-and-wave complex detection algorithm in the EEG from a rat model of absence epilepsy

IMR OpenIR

	Evaluation of an automated spike-and-wave complex detection algorithm in the EEG from a rat model of absence epilepsy
其他题名	Evaluation of an automated spike-and-wave complex detection algorithm in the EEG from a rat model of absence epilepsy
	Bauquier Sebastien H 1; Lai Alan 2; Jiang Jonathan L 3; Sui Yi 5; Cook Mark J 3
	2015
发表期刊	NEUROSCIENCE BULLETIN
ISSN	1673-7067
卷号	31 期号:5 页码:601-610
摘要	The aim of this prospective blinded study was to evaluate an automated algorithm for spike-and-wave discharge (SWD) detection applied to EEGs from genetic absence epilepsy rats from Strasbourg (GAERS). Five GAERS underwent four sessions of 20-min EEG recording. Each EEG was manually analyzed for SWDs longer than one second by two investigators and automatically using an algorithm developed in MATLABA (R). The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for the manual (reference) versus the automatic (test) methods. The results showed that the algorithm had specificity, sensitivity, PPV and NPV > 94%, comparable to published methods that are based on analyzing EEG changes in the frequency domain. This provides a good alternative as a method designed to mimic human manual marking in the time domain.
其他摘要	The aim of this prospective blinded study was to evaluate an automated algorithm for spike-and-wave discharge (SWD) detection applied to EEGs from genetic absence epilepsy rats from Strasbourg (GAERS). Five GAERS underwent four sessions of 20-min EEG recording. Each EEG was manually analyzed for SWDs longer than one second by two investigators and automatically using an algorithm developed in MATLAB?. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for the manual (reference) versus the automatic (test) methods. The results showed that the algorithm had specificity, sensitivity, PPV and NPV >94%, comparable to published methods that are based on analyzing EEG changes in the frequency domain. This provides a good alternative as a method designed to mimic human manual marking in the time domain.
关键词	SEIZURE DETECTION ONSET EPIDEMIOLOGY STRASBOURG FEATURES GAERS GAERS seizure detection epilepsy
收录类别	CSCD
语种	英语
资助项目	[Victoria Government through its Science Technology and Innovation Initiative] ; [Australian Research Council]
CSCD记录号	CSCD:5530041
引用统计
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/150152
专题	中国科学院金属研究所
作者单位	1.University Melbourne, Fac Vet & Agr Sci, Werribee, Vic, Australia 2.University Melbourne, Dept Elect & Elect Engn, Parkville, Vic 3052, Australia 3.St Vincents Hosp, Department Clin Neurosci, Fitzroy, Vic 3065, Australia 4.University Melbourne, Fac Med, Parkville, Vic 3052, Australia 5.中国科学院金属研究所
推荐引用方式 GB/T 7714	Bauquier Sebastien H,Lai Alan,Jiang Jonathan L,et al. Evaluation of an automated spike-and-wave complex detection algorithm in the EEG from a rat model of absence epilepsy[J]. NEUROSCIENCE BULLETIN,2015,31(5):601-610.
APA	Bauquier Sebastien H,Lai Alan,Jiang Jonathan L,Sui Yi,&Cook Mark J.(2015).Evaluation of an automated spike-and-wave complex detection algorithm in the EEG from a rat model of absence epilepsy.NEUROSCIENCE BULLETIN,31(5),601-610.
MLA	Bauquier Sebastien H,et al."Evaluation of an automated spike-and-wave complex detection algorithm in the EEG from a rat model of absence epilepsy".NEUROSCIENCE BULLETIN 31.5(2015):601-610.