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EEG applications for sport and performance.

Trevor Thompson1, Tony Steffert, Tomas Ros

  • 1Department of Psychology, Goldsmiths College, University of London, New Cross, London SE14 6NW, UK. t.thompson@gold.ac.uk

Methods (San Diego, Calif.)
|August 7, 2008
PubMed
Summary
This summary is machine-generated.

Electroencephalography (EEG) research in sports is challenged by motion artifacts. This paper reviews methods to obtain reliable EEG data during exercise and discusses EEG-biofeedback for optimizing athletic performance.

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Area of Science:

  • Neuroscience
  • Sports Science
  • Biomedical Engineering

Background:

  • Understanding skilled performance often involves studying brain activity via electroencephalography (EEG).
  • A significant challenge in EEG research is the contamination of genuine brain data by non-cerebral artifacts.
  • These artifacts are often amplified during physical movement, making data acquisition during exercise problematic.

Purpose of the Study:

  • To discuss challenges in obtaining reliable EEG data during physical motion.
  • To review existing and novel techniques for mitigating movement artifacts in EEG.
  • To explore the application of EEG-biofeedback for optimizing athletic performance.

Main Methods:

  • Review of empirical studies addressing movement artifacts in EEG.
  • Discussion of practical and computational techniques for artifact reduction.
  • Brief review of EEG-biofeedback and peak performance literature.

Main Results:

  • Many studies avoid recording EEG during exertion, opting for alternative paradigms.
  • Specific challenges and solutions for motion-related EEG artifacts are detailed.
  • EEG-biofeedback shows potential for enhancing athletic performance.

Conclusions:

  • Acquiring reliable EEG data during motion remains challenging but is becoming more feasible.
  • Advancements in technology and processing models offer promising solutions.
  • EEG holds potential for optimizing sports performance through biofeedback.