Effect of Aerobic Training Supported by AI-Based Monitoring on Functional Performance in University Students With Anemia

This study aims to examine the impact of aerobic training supported by AI-based monitoring on functional performance in university students with anemia.

Inclusion Criteria: Both genders students. * Age range between 18-25 years. * BMI between 18.5-29.9 kg/m². * Diagnosed with mild to moderate anemia. * Serum ferritin level (\< 30 µg/l). (Sholzberg et al., 2025). * Hemoglobin level classified according to the World Health Organization (WHO) criteria as follows: (Moonajilin et al., 2020). Females (≥15 years) : * Non-anemic: ≥12 g/dL * Mild anemia: 11.0-11.9 g/dL * Moderate anemia: 8.0-10.9 g/dL Males (≥15 years): * Non-anemic: ≥13 g/dL * Mild anemia: 11.0-12.9 g/dL * Moderate anemia: 8.0-10.9 g/dL * Medically stable and cleared for participation in an exercise program. * Able to perform aerobic exercise. * Able to use mobile applications. * Have access to a compatible smartphone and be able to use BrainHQ, TMT app and Google Fit applications during the study period. Exclusion Criteria: * Severe anemia requires immediate medical intervention. * Presence of cardiovascular, respiratory, or neurological disorders affecting physical performance. * Musculoskeletal conditions limiting exercise participation. * Severe cognitive impairment interferes with assessment. * Use of medications that may markedly affect heart rate, exercise tolerance, cognitive function, or hemoglobin level. * Participation in another structured exercise or rehabilitation program. * Inability to use mobile devices or comply with the study protocol. * For female participants: severe menstrual bleeding or diagnosed gynecological condition causing uncontrolled anemia.