The Reliability Of Movement Complexity During Steady And Non-steady State Treadmill Running

Le résumé fourni par la source

The complexity of human movement could play an important role in our health. Control entropy (CE)—a measure of complexity—accounts for the non-stationarity of many physiological signals, potentially making it a suitable clinical monitoring tool. However, few investigations exist into CE’s reliability over clinically relevant time frames. PURPOSE: To investigate the short-term test-retest reliability of CE during steady and non-steady state treadmill running. METHODS: Sixteen (9 males, 7 females) recreationally active rearfoot-striking adults (age: 27.4 ± 3.9 years; BMI: 22.9 ± 3.2 kg/m2) attended 2 sessions, 7 days apart. Participants ran for 3-minutes at a self-selected speed before completing three 40-second treadmill running trials in random order at 2.5, 3.0, and 3.5 m/s in standardized footwear with insole-embedded inertial measurement units (500 Hz). We defined steady-state (SS) as the 30-second period for which the participants were running at the constant speeds. The non-steady state (NS) condition included the periods in which the treadmill belt accelerated up to these speeds and then decelerated to 0.0 m/s. Control entropy, calculated as the mean sample entropy of overlapping sliding windows, was calculated for the left and right resultant foot accelerations using a custom MATLAB script and the PhysioNet Toolbox. The resultant foot accelerations were calculated using the Euclidean norm. Inter-session reliability was measured using intraclass correlation coefficient (ICC) model (2,1) and standard error of measurement (SEM). The SEM was used to calculate the minimal detectable change (MDC). RESULTS: Moderate to excellent short-term reliability was observed across all speeds for left (ICC: 0.73 - 0.90, p < 0.05) and right (0.84 - 0.88, p < 0.05) CE during SS, paired with low SEM (3.2% - 5.0%) and MDC (8.8% - 11.8%). For the NS, good to excellent short-term reliability was observed across all speeds for left (0.78 - 0.92, p < 0.05) and right (0.85 - 0.90, p < 0.05) CE. Low SEM (3.2% - 4.6%) and MDC (8.9% - 12.9%) were demonstrated across all speeds for NS. CONCLUSION: The reliability of CE calculated during SS and NS is similar over clinically relevant time frames. Clinicians wishing to use movement complexity as a rehabilitation monitoring tool can reliably monitor CE from a 40-second run over a 7-day period. Mitacs Accelerate IT24201

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.