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article 2025 15 pages

Identifying Fatigue-Related Gait Patterns Using Multiple Inertial Measurement Units and Statistical Parametric Mapping: A Continuous Analysis of an Outdoor Full Marathon in Male Recreational Runners

Guoxin Zhang, Tony Lin-wei Chen, Yi Liu, Linjuan Wei, Shane Fei Chen, Yan Wang, Ming Zhang

Journal
Sports Medicine - Open
DOI
10.1186/s40798-025-00915-9
Publication type
Original Research
Population
male recreational runners
View on DOI ↗

Abstract

Background

Running is an effective exercise for personal fitness, yet many recreational runners suffer from running-related injuries. Prolonged running induces neuromuscular fatigue, interfering with an individual’s preferred running gait and increasing the injury risk. This study aimed to examine gait patterns associated with fatigue in runners during a full marathon by analyzing lower limb segment and pelvis kinematics captured via multiple inertial measurement units (IMU).

Methods

Three IMUs were attached to measure the rearfoot, shank, and pelvis kinematics of 23 male recreational runners during an outdoor marathon. Data were extracted for nine time points: the baseline, and at the 5th, 10th, 15th, up to the 40th kilometer. Each segment’s free acceleration and angular velocity during the stance phase at these nine timelines were analyzed using statistical non-parametric mapping.

Results

Male recreational runners exhibited a lower running speed (1.13 km/h, p 

Description

The study investigates how fatigue affects gait patterns in male recreational marathon runners.