EEG Analysis of the Influence of Sleep, Nutrition, and Emotional State in Engineering Students

Resumen

Courses with a mathematical component are among the primary reasons why engineering students often decide to change their major. This study explores the correlation between brain activity and academic performance in Physics courses, focusing on the differences between students who passed and those who repeated the course. Using EEG to measure brainwave patterns (Beta and Gamma waves), alongside questionnaires to assess emotional states, sleep habits, and dietary factors, the research analyzes how these variables impact concentration and anxiety levels. The results reveal that students who repeated the course exhibited higher Gamma wave amplitude and lower Beta waves, suggesting different cognitive profiles. Additionally, sleep and eating habits were found to correlate with concentration and anxiety, influencing academic performance. The study provides a novel, replicable methodology for identifying neurocognitive profiles that can help personalize educational strategies to improve student outcomes.