Literature DB >> 21030315

Feasibility of automated warning in subjects with localization-related epilepsies.

Ivan Osorio1, M Frei.   

Abstract

Automated seizure detection ushers the prospect for issuance of warning, but to benefit from it, patients must be responsive when warnings are issued. By use of a complex reaction time test triggered by a seizure detection algorithm, the latency to impairment of responsiveness was measured during seizure versus interictal conditions in 14 patients undergoing surgical evaluation with intracranial electrodes. Mean latency to impairment of responsiveness from electrographic onset was 27.1, 42.8, or 56.1 seconds depending on the stringency of the defining criterion. Mean, SD, and distributions of compliance and percentage of correct responses did not significantly differ between seizure and interictal tests. If reproduced in studies performed under more realistic conditions, the latency to impairment of responsiveness justifies the development of a warning device to allow patients to perform activities precluded by seizures and decrease the risk of injury. If endowed with automated therapy delivery, said device would advance epilepsy management cost-effectively.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 21030315     DOI: 10.1016/j.yebeh.2010.09.021

Source DB:  PubMed          Journal:  Epilepsy Behav        ISSN: 1525-5050            Impact factor:   2.937


  3 in total

Review 1.  Improving early seizure detection.

Authors:  Christophe C Jouny; Piotr J Franaszczuk; Gregory K Bergey
Journal:  Epilepsy Behav       Date:  2011-12       Impact factor: 2.937

2.  Flexible, high-resolution thin-film electrodes for human and animal neural research.

Authors:  Chia-Han Chiang; Charles Wang; Katrina Barth; Shervin Rahimpour; Michael Trumpis; Suseendrakumar Duraivel; Iakov Rachinskiy; Agrita Dubey; Katie E Wingel; Megan Wong; Nicholas S Witham; Thomas Odell; Virginia Woods; Brinnae Bent; Werner Doyle; Daniel Friedman; Eckardt Bihler; Christopher F Reiche; Derek G Southwell; Michael M Haglund; Allan H Friedman; Shivanand P Lad; Sasha Devore; Orrin Devinsky; Florian Solzbacher; Bijan Pesaran; Gregory Cogan; Jonathan Viventi
Journal:  J Neural Eng       Date:  2021-06-17       Impact factor: 5.043

3.  fNIRS improves seizure detection in multimodal EEG-fNIRS recordings.

Authors:  Parikshat Sirpal; Ali Kassab; Philippe Pouliot; Dang Khoa Nguyen; Frédéric Lesage
Journal:  J Biomed Opt       Date:  2019-02       Impact factor: 3.170

  3 in total

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