Literature DB >> 6172262

Frequency content of EEG and EMG at seizure onset: possibility of removal of EMG artefact by digital filtering.

J Gotman, J R Ives, P Gloor.   

Abstract

EEG recordings of epileptic seizures from scalp and sphenoidal electrodes are frequently obscured by EMG activity from contracting scalp muscles. We have examined the possibility of selectively filtering the EMG artefact in order to make apparent the activity of cerebral origin. It has been shown that, during voluntary contractions of scalp muscles, most of the energy of EMG activity is above 15-20 Hz. We have shown, in recordings from 50 patients, that rhythmic activity at the onset of seizures uncontaminated by artefact had almost always a fundamental frequency lower than 25 Hz. From these two observations, we concluded that total elimination of activity above 25 Hz would eliminate most of the EMG activity, with a minimal risk of eliminating rhythmic cerebral activity. Thirty-one seizure contaminated by EMG activity were analyzed. Spectral analysis was used to assess the presence or absence of rhythmic activity at seizure onset, in the presence of obscuring EMG artefact. The spatial and temporal distribution of such a rhythmic activity was then revealed by a sharp digital filter which did not introduce phase distortions. Seizures recorded on computer tape were played back on paper following filtering. In 16 of the 31 cases it was possible to clarify the originally obscured recordings. In 7 cases, it was found that no rhythmic cerebral activity was hidden by the EMG, a finding which was also important. In the last 8 cases, it was not possible to determine with certainty the origin, cerebral or muscular, of fast rhythmic activity present at seizure onset.

Entities:  

Mesh:

Year:  1981        PMID: 6172262     DOI: 10.1016/0013-4694(81)91437-1

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


  7 in total

1.  Use of discrete Hilbert transformation for automatic spike mapping: a methodological investigation.

Authors:  H Witte; M Eiselt; I Patakova; S Petranek; G Griessbach; V Krajca; M Rother
Journal:  Med Biol Eng Comput       Date:  1991-05       Impact factor: 2.602

2.  Optimal features for online seizure detection.

Authors:  Lojini Logesparan; Alexander J Casson; Esther Rodriguez-Villegas
Journal:  Med Biol Eng Comput       Date:  2012-04-03       Impact factor: 2.602

3.  Use of finite wordlength FIR digital filter structures with improved magnitude and phase characteristics for reduction of muscle noise in EEG signals.

Authors:  P K Sadasivan; D N Dutt
Journal:  Med Biol Eng Comput       Date:  1995-05       Impact factor: 2.602

4.  Validation of regression-based myogenic correction techniques for scalp and source-localized EEG.

Authors:  Brenton W McMenamin; Alexander J Shackman; Jeffrey S Maxwell; Lawrence L Greischar; Richard J Davidson
Journal:  Psychophysiology       Date:  2009-03-04       Impact factor: 4.016

5.  Analysis of wavelet-filtered tonic-clonic electroencephalogram recordings.

Authors:  O A Rosso; A Figliola; J Creso; E Serrano
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

6.  Non-invasive computerized system for automatically initiating vagus nerve stimulation following patient-specific detection of seizures or epileptiform discharges.

Authors:  Ali Shoeb; Trudy Pang; John Guttag; Steven Schachter
Journal:  Int J Neural Syst       Date:  2009-06       Impact factor: 5.866

7.  AR2, a novel automatic artifact reduction software method for ictal EEG interpretation: Validation and comparison of performance with commercially available software.

Authors:  Shennan Aibel Weiss; Ali A Asadi-Pooya; Sitaram Vangala; Stephanie Moy; Dale H Wyeth; Iren Orosz; Michael Gibbs; Lara Schrader; Jason Lerner; Christopher K Cheng; Edward Chang; Rajsekar Rajaraman; Inna Keselman; Perdro Churchman; Christine Bower-Baca; Adam L Numis; Michael G Ho; Lekha Rao; Annapoorna Bhat; Joanna Suski; Marjan Asadollahi; Timothy Ambrose; Andres Fernandez; Maromi Nei; Christopher Skidmore; Scott Mintzer; Dawn S Eliashiv; Gary W Mathern; Marc R Nuwer; Michael Sperling; Jerome Engel; John M Stern
Journal:  F1000Res       Date:  2017-01-10
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.