Algorithm architectures for patient dependent seizure detection

Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology
Scott B Wilson

Abstract

The goal of this work is to determine whether improved performance (compared to patient independent algorithms) can be achieved by an algorithm, developed on the fly, that requires no user input beyond the identification of the first one or two seizures in the record. The previously developed AutoLearn algorithm, which employs the probabilistic neural network (PNN), is tested on 209 seizures obtained from the epilepsy monitoring unit (EMU) or ambulatory recordings. A construction algorithm is used to compare a variety of algorithm architectures and factors. The Taguchi design of experiments (DoE) method is employed find the significant factors without resorting to a full factorial design. Architectures that train a single PNN per channel and use segmentation to identify ranges of similar activity are preferred. The two best architectures are insensitive to the levels of any of the other factors tested. The training time for the algorithm is less than 1s, and approximately 2 min are required to find the seizures in an 8 h record. The final algorithm, which requires no input from the user other than the marking of the first seizure in a record, performs as well or better than the 3 seizure detectors on EMU and ambulatory records....Continue Reading

References

May 1, 1996·The Journal of the American Association of Gynecologic Laparoscopists·J Ross
Oct 29, 2003·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Scott B WilsonSteve Pacia
Sep 8, 2004·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Scott B WilsonAndrew J Gabor
Jul 12, 2005·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Scott B Wilson

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Citations

Jul 11, 2009·Annals of Biomedical Engineering·Levin KuhlmannIven M Y Mareels
Apr 24, 2012·Pediatric Neurology·Jonas Duun-HenriksenTroels W Kjaer
May 9, 2012·Expert Systems with Applications·Y Tang, Dm Durand
May 23, 2015·International Journal of Neural Systems·Mojtaba BandarabadiAntonio Dourado
Dec 7, 2011·Epilepsy & Behavior : E&B·Sabato SantanielloSridevi V Sarma
Jul 22, 2011·Journal of Neural Engineering·Sheng-Fu LiangHerming Chiueh
Jun 1, 2013·Journal of Neural Engineering·Sheng-Fu LiangHerming Chiueh
Jul 31, 2020·Data Mining and Knowledge Discovery·Wei ZhangJr-Shin Li
Oct 6, 2018·Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society·Cynthia SharpeRichard Haas
Sep 19, 2008·Physiological Measurement·B R GreeneG B Boylan
Sep 29, 2019·Computers in Biology and Medicine·Yissel Rodríguez AldanaBorbála Hunyadi

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