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Electroencephalography (EEG) Physiological Indices Reflecting Human Physical Performance: A Systematic Review Using
Lina Ismail1, Waldemar Karwowski2, Peter A Hancock3
1Department of Industrial Engineering and Management Systems, Arab Academy for Science, Technology, and Maritime Transport, 2913 Alexandria, Egypt.
Journal of Integrative Neuroscience
|May 31, 2023
Summary
Portable electroencephalography (EEG) can assess brain activity during physical tasks. This review highlights its potential for quantifying performance in both lab and real-world settings, though naturalistic applications are still limited.
Area of Science:
- Neuroscience
- Sports Science
- Human Performance
Background:
- Portable neurophysiological methods, like electroencephalography (EEG), have advanced the study of brain activity during physical tasks, particularly in clinical exercise and sports.
- However, understanding the neural signatures of physical tasks in everyday, naturalistic settings remains underexplored.
Approach:
- This systematic review evaluated the feasibility of using EEG indices to quantify human performance across diverse physical activities in laboratory and real-world scenarios.
- A secondary objective was to assess EEG's utility in quantifying performance during physical activities intertwined with mental tasks.
- The review adhered to the updated Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
Key Points:
- Of 81 studies reviewed, 64 focused on physical activity performance, and 17 examined physical activities with concurrent mental tasks.
- Linear EEG methods, such as power spectrum and event-related potential amplitude, were predominantly used.
- Nonlinear methods and studies on biomechanical loading of the torso and spine (risk factors for musculoskeletal disorders) were less common.
Conclusions:
- While research on neural mechanisms of motor functioning is growing, the assessment of brain signatures for physical tasks in naturalistic environments is still limited.
- Further research is needed to fully leverage EEG for understanding human performance in real-world physical activities.

