Literature DB >> 1376661

State dependent spike detection: validation.

J Gotman1, L Y Wang.   

Abstract

We present a formal validation of the method of state dependent spike detection; its principle and initial results were given in Gotman and Wang (1991). The method utilizes different procedures for elimination of non-epileptic transients according to state (active or quiet wakefulness, sleep stages); it also varies detection sensitivity according to state. Twenty new 100 min recordings were obtained from 20 unselected patients, covering active wakefulness, quiet wakefulness and various sleep stages. Results indicated that, while the total number of detections was reduced by 15%, true detections increased by 39% and false detections decreased by 60%. This significant improvement is due to the fact that wave morphology is now considered within its spatial context and particularly within a wide temporal context.

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Year:  1992        PMID: 1376661     DOI: 10.1016/0013-4694(92)90127-4

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  7 in total

1.  A comparison between detectors of high frequency oscillations.

Authors:  R Zelmann; F Mari; J Jacobs; M Zijlmans; F Dubeau; J Gotman
Journal:  Clin Neurophysiol       Date:  2011-07-16       Impact factor: 3.708

2.  Interrater Reliability of Experts in Identifying Interictal Epileptiform Discharges in Electroencephalograms.

Authors:  Jin Jing; Aline Herlopian; Ioannis Karakis; Marcus Ng; Jonathan J Halford; Alice Lam; Douglas Maus; Fonda Chan; Marjan Dolatshahi; Carlos F Muniz; Catherine Chu; Valeria Sacca; Jay Pathmanathan; WenDong Ge; Haoqi Sun; Justin Dauwels; Andrew J Cole; Daniel B Hoch; Sydney S Cash; M Brandon Westover
Journal:  JAMA Neurol       Date:  2020-01-01       Impact factor: 18.302

3.  EPILEPTIFORM SPIKE DETECTION VIA CONVOLUTIONAL NEURAL NETWORKS.

Authors:  Alexander Rosenberg Johansen; Jing Jin; Tomasz Maszczyk; Justin Dauwels; Sydney S Cash; M Brandon Westover
Journal:  Proc IEEE Int Conf Acoust Speech Signal Process       Date:  2016-05-19

4.  Measuring expertise in identifying interictal epileptiform discharges.

Authors:  Nitish M Harid; Jin Jing; Jacob Hogan; Fábio A Nascimento; An Ouyang; Wei-Long Zheng; Wendong Ge; Sahar F Zafar; Jennifer A Kim; D Lam Alice; Aline Herlopian; Douglas Maus; Ioannis Karakis; Marcus Ng; Shenda Hong; Zhu Yu; Peter W Kaplan; Sydney Cash; Mouhsin Shafi; Gabriel Martz; Jonathan J Halford; Michael Brandon Westover
Journal:  Epileptic Disord       Date:  2022-06-01       Impact factor: 2.333

5.  Rapid annotation of interictal epileptiform discharges via template matching under Dynamic Time Warping.

Authors:  J Jing; J Dauwels; T Rakthanmanon; E Keogh; S S Cash; M B Westover
Journal:  J Neurosci Methods       Date:  2016-03-02       Impact factor: 2.390

Review 6.  Spatial analysis of intracerebral electroencephalographic signals in the time and frequency domain: identification of epileptogenic networks in partial epilepsy.

Authors:  Fabrice Wendling; Fabrice Bartolomei; Lotfi Senhadji
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2009-01-28       Impact factor: 4.226

7.  Electroencephalography in mesial temporal lobe epilepsy: a review.

Authors:  Manouchehr Javidan
Journal:  Epilepsy Res Treat       Date:  2012-06-17
  7 in total

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