Electrophysiological Insights in Exergaming: Electroencephalography Data Recording and Movement Artifact Detection

Integrating electroencephalography (EEG) into exergaming research offers a promising pathway for evaluating cognitive states like attention and concentration during physical activity. While the feasibility of capturing neural data in active environments is well-established, the field currently faces significant technical and methodological hurdles. The primary challenge remains the mitigation of motion artifacts, which can result in signal loss of up to 50 percent. Without standardized protocols for noise reduction, the integrity of neuroscientific data collected during whole-body movement remains inconsistent, complicating the ability to draw definitive conclusions across the existing body of literature.

Current research is further constrained by systemic limitations in study design. An analysis of 17 studies reveals a high risk of bias, frequently stemming from small, non-diverse sample sizes and a lack of longitudinal data. These factors severely restrict the generalizability of findings across different age groups and ethnicities, leaving a gap in understanding the long-term cognitive and physical impacts of exergaming. Furthermore, the absence of transparent, standardized reporting practices hinders the reproducibility of results and prevents effective cross-study comparisons.

To advance the field, future investigations must prioritize the development of rigorous, standardized artifact-handling techniques and more robust signal processing pipelines. Establishing uniform reporting standards is essential for improving methodological transparency and ensuring that EEG data can reliably inform the development of exergaming interventions. By shifting toward larger, more diverse cohorts and longitudinal study designs, researchers can better validate the cognitive benefits of these systems and move toward a more precise understanding of the brain-body interaction in interactive digital environments.