Literature DB >> 1697252

Changes in EEG mean frequency and spectral purity during spontaneous alpha blocking.

I I Goncharova1, J S Barlow.   

Abstract

Spontaneously occurring brief periods of lower voltage irregular activity occurring amid a background of alpha activity (i.e., alpha blocking) in eyes-closed resting occipital EEG recordings from 32 healthy human subjects have been investigated to determine the extent of changes of mean frequency and of spectral purity (degree of regularity/irregularity of the EEG activity) during such periods. New methods for determining mean frequency and spectral purity (the latter as a new measure, the Spectral Purity Index, which has a maximum value of 1.0 for a pure sine wave) permit their conjoint evaluation over a 0.5 sec window that is advanced along the EEG in 0.1 sec steps, thus permitting almost continuous feature extraction. The findings indicate that, although spectral purity invariably decreased during the periods of lower voltage irregular activity, the mean frequency remained relatively unaltered, i.e., it remained unchanged or it increased or decreased slightly but at most by 2.5 Hz. These results suggest that, at least for the periods of lower voltage irregular activity occurring spontaneously amid an alpha background during eyes-closed occipital EEG recordings, it may be inaccurate (as some authors have already suggested) to use the term 'low-voltage fast (or beta) activity.'

Entities:  

Mesh:

Year:  1990        PMID: 1697252     DOI: 10.1016/0013-4694(90)90015-c

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


  6 in total

1.  Can one detect atrial fibrillation using a wrist-type photoplethysmographic device?

Authors:  Sibylle Fallet; Mathieu Lemay; Philippe Renevey; Célestin Leupi; Etienne Pruvot; Jean-Marc Vesin
Journal:  Med Biol Eng Comput       Date:  2018-09-15       Impact factor: 2.602

2.  Identifying robust and sensitive frequency bands for interrogating neural oscillations.

Authors:  Alexander J Shackman; Brenton W McMenamin; Jeffrey S Maxwell; Lawrence L Greischar; Richard J Davidson
Journal:  Neuroimage       Date:  2010-03-18       Impact factor: 6.556

3.  False alarm reduction in critical care.

Authors:  Gari D Clifford; Ikaro Silva; Benjamin Moody; Qiao Li; Danesh Kella; Abdullah Chahin; Tristan Kooistra; Diane Perry; Roger G Mark
Journal:  Physiol Meas       Date:  2016-07-25       Impact factor: 2.833

4.  Integrative EEG biomarkers predict progression to Alzheimer's disease at the MCI stage.

Authors:  Simon-Shlomo Poil; Willem de Haan; Wiesje M van der Flier; Huibert D Mansvelder; Philip Scheltens; Klaus Linkenkaer-Hansen
Journal:  Front Aging Neurosci       Date:  2013-10-03       Impact factor: 5.750

5.  EEG based Classification of Long-term Stress Using Psychological Labeling.

Authors:  Sanay Muhammad Umar Saeed; Syed Muhammad Anwar; Humaira Khalid; Muhammad Majid; And Ulas Bagci
Journal:  Sensors (Basel)       Date:  2020-03-29       Impact factor: 3.576

6.  Non-contact vital-sign monitoring of patients undergoing haemodialysis treatment.

Authors:  Mauricio Villarroel; João Jorge; David Meredith; Sheera Sutherland; Chris Pugh; Lionel Tarassenko
Journal:  Sci Rep       Date:  2020-10-28       Impact factor: 4.379

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.