| Evaluation of an automated spike-and-wave complex detection algorithm in the EEG from a rat model of absence epilepsy | |
| Alternative Title | Evaluation of an automated spike-and-wave complex detection algorithm in the EEG from a rat model of absence epilepsy |
| Bauquier Sebastien H1; Lai Alan2; Jiang Jonathan L3; Sui Yi5; Cook Mark J3 | |
| 2015 | |
| Source Publication | NEUROSCIENCE BULLETIN
 |
| ISSN | 1673-7067 |
| Volume | 31Issue:5Pages:601-610 |
| Abstract | 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. |
| Other Abstract | 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. |
| Keyword | SEIZURE DETECTION ONSET EPIDEMIOLOGY STRASBOURG FEATURES GAERS GAERS seizure detection epilepsy |
| Indexed By | CSCD |
| Language | 英语 |
| Funding Project | [Victoria Government through its Science Technology and Innovation Initiative] ; [Australian Research Council] |
| CSCD ID | CSCD:5530041 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.imr.ac.cn/handle/321006/150152 |
| Collection | 中国科学院金属研究所 |
| Affiliation | 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 |
| Recommended Citation 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. |
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