Monitoring the Effect of Mental Fatigue on Physical Performance Using Wearable Sensors and Physiological Parameters
NCT07323810 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 30
Last updated 2026-01-07
Summary
Mental fatigue (MF) negatively affects both cognitive and physical performance, increasing the risk of errors in high-stakes environments such as sports and surgery. Traditional methods to assess MF rely on subjective self-report scales, which are prone to bias, or on complex brain measurements (e.g. EEG) that are impractical outside laboratory settings. This study aims to develop a real-time, objective monitoring method for MF using wearable physiological sensors. The study will recruit healthy, trained runners (18-35 years old) who will complete both an MF-inducing cognitive task (Stroop test) and a control condition (watching a documentary) in a randomized, counterbalanced, crossover design. Heart rate variability, respiration rate, and pupil metrics will be continuously recorded using wearable devices. Machine learning models will be used to predict MF-level as well as the effect of MF on physical performance (5-km time trial on a treadmill) using the physiological data as input.
Conditions
- Mental Fatigue
Interventions
- BEHAVIORAL
-
Mental Fatigue
Mental fatigue (MF) is a psychobiological state characterized by feelings of tiredness and/or a measurable decline in performance following prolonged or intense cognitive activity.
Sponsors & Collaborators
-
Vrije Universiteit Brussel
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- BASIC_SCIENCE
- Masking
- SINGLE
- Model
- CROSSOVER
Eligibility
- Min Age
- 18 Years
- Max Age
- 35 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2026-01-31
- Primary Completion
- 2026-06-30
- Completion
- 2026-06-30
Countries
- Belgium
Study Locations
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