Literature DB >> 7647176

Rheoencephalographic and electroencephalographic measures of cognitive workload: analytical procedures.

L D Montgomery1, R W Montgomery, R Guisado.   

Abstract

This investigation demonstrates the feasibility of mental workload assessment by rheoencephalographic (REG) and multichannel electroencephalographic (EEG) monitoring. During the performance of this research, unique testing, analytical and display procedures were developed for REG and EEG monitoring that extend the current state of the art and provide valuable tools for the study of cerebral circulatory and neural activity during cognition. REG records are analyzed to provide indices of the right and left hemisphere hemodynamic changes that take place during each test sequence. The EEG data are modeled using regression techniques and mathematically transformed to provide energy-density distributions of the scalp electrostatic field. These procedures permit concurrent REG/EEG cognitive testing not possible with current techniques. The introduction of a system for recording and analysis of cognitive REG/EEG test sequences facilitates the study of learning and memory disorders, dementia and other encephalopathies.

Entities:  

Mesh:

Year:  1995        PMID: 7647176     DOI: 10.1016/0301-0511(95)05117-1

Source DB:  PubMed          Journal:  Biol Psychol        ISSN: 0301-0511            Impact factor:   3.251


  6 in total

1.  Segmental blood flow and hemodynamic state of lymphedematous and nonlymphedematous arms.

Authors:  Leslie D Montgomery; Mary S Dietrich; Jane M Armer; B R Stewart; Sheila H Ridner
Journal:  Lymphat Res Biol       Date:  2011-03       Impact factor: 2.589

2.  Motor imagery and mental fatigue: inter-relationship and EEG based estimation.

Authors:  Upasana Talukdar; Shyamanta M Hazarika; John Q Gan
Journal:  J Comput Neurosci       Date:  2018-11-29       Impact factor: 1.621

3.  Intracranial microprobe for evaluating neuro-hemodynamic coupling in unanesthetized human neocortex.

Authors:  Corey J Keller; Sydney S Cash; Suresh Narayanan; Chunmao Wang; Ruben Kuzniecky; Chad Carlson; Orrin Devinsky; Thomas Thesen; Werner Doyle; Angelo Sassaroli; David A Boas; Istvan Ulbert; Eric Halgren
Journal:  J Neurosci Methods       Date:  2009-02-13       Impact factor: 2.390

4.  ICA-Derived EEG Correlates to Mental Fatigue, Effort, and Workload in a Realistically Simulated Air Traffic Control Task.

Authors:  Deepika Dasari; Guofa Shou; Lei Ding
Journal:  Front Neurosci       Date:  2017-05-30       Impact factor: 4.677

5.  Poincaré plot analysis of cerebral blood flow signals: Feature extraction and classification methods for apnea detection.

Authors:  Carmen González; Erik W Jensen; Pedro L Gambús; Montserrat Vallverdú
Journal:  PLoS One       Date:  2018-12-07       Impact factor: 3.240

6.  Entropy Measures as Descriptors to Identify Apneas in Rheoencephalographic Signals.

Authors:  Carmen González; Erik Jensen; Pedro Gambús; Montserrat Vallverdú
Journal:  Entropy (Basel)       Date:  2019-06-18       Impact factor: 2.524

  6 in total

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