Literature DB >> 16462196

Enhancements in epilepsy forewarning via phase-space dissimilarity.

Lee M Hively1, Vladimir A Protopopescu, Nancy B Munro.   

Abstract

The authors extend the recent application of phase-space dissimilarity measures for scalp EEG data in two directions. First, a forewarning window of up to 8 hours was used, thereby providing more forewarning time of the seizure event. This window was limited to a maximum of 1 hour in their previous work. Second, they combined information from two channels via a multichannel phase-space to improve the quality and confidence limits of the forewarning. Combining these two enhancements, they obtained two-channel results that were superior to the single-channel ones.

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Year:  2005        PMID: 16462196     DOI: 10.1097/01.wnp.0000184010.00653.ea

Source DB:  PubMed          Journal:  J Clin Neurophysiol        ISSN: 0736-0258            Impact factor:   2.177


  3 in total

1.  Enhancing dynamical signatures of complex systems through symbolic computation.

Authors:  Alberto Porta; Mathias Baumert; Dirk Cysarz; Niels Wessel
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2015-02-13       Impact factor: 4.226

2.  Predicting state transitions in brain dynamics through spectral difference of phase-space graphs.

Authors:  Patrick Luckett; Elena Pavelescu; Todd McDonald; Lee Hively; Juan Ochoa
Journal:  J Comput Neurosci       Date:  2018-10-12       Impact factor: 1.621

3.  Ngram-derived pattern recognition for the detection and prediction of epileptic seizures.

Authors:  Amir Eftekhar; Walid Juffali; Jamil El-Imad; Timothy G Constandinou; Christofer Toumazou
Journal:  PLoS One       Date:  2014-06-02       Impact factor: 3.240

  3 in total

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