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ORIGINAL RESEARCH article

Front. Sports Act. Living

Sec. Injury Prevention and Rehabilitation

Volume 7 - 2025 | doi: 10.3389/fspor.2025.1652610

This article is part of the Research TopicEnhancing Sports Safety through Multimodal Artificial Intelligence Techniques for Injury PreventionView all articles

Analysis of Gait Characteristics to Evaluate Injury Risk after High-intensity Exercise, Focusing on Canoe Athletes: A Preliminary Study

Provisionally accepted
Seoungeun  KimSeoungeun Kim1*Seungmin  ShinSeungmin Shin1Taewan  KimTaewan Kim2Seung-Jun  ChoiSeung-Jun Choi3Minji  SonMinji Son1
  • 1Jeios, Busan, Republic of Korea
  • 2Center for Sports Science in JeonNam, JeonNam, Republic of Korea
  • 3Kyungsung University, Busan, Republic of Korea

The final, formatted version of the article will be published soon.

Objective: High-intensity exercise can alter gait characteristics in canoe athletes, potentially affecting performance and increasing injury risk due to muscle fatigue. This study aimed to analyse gait parameters before and after high-intensity exercise to identify fatigue-related injury risk factors. Methods: Twelve canoe athletes participated. After a brief treadmill acclimation (30–60 s), gait was assessed at three walking speeds: slow (80%), normal (100%), and fast (120%) of preferred speed—for 1 minute each. An IMU based shoe-type data logger captured gait data immediately before and after a 30-second Wingate Anaerobic Test. Results: Significant changes were found in 20 gait parameters. Post-exercise, cadence, stride/step length, single/double support time, time of toe off, ankle ROM (dorsiflexion/plantarflexion, inversion/eversion), and centre of gravity (COG) displacement and velocity in X and Y directions increased. In contrast, COG displacement, velocity, and acceleration in the Z direction decreased. Conclusion: Gait analysis at slow speed after high-intensity effort highlights the importance of monitoring biomechanical and spatiotemporal changes. Detecting compensatory gait adjustments post-exercise may enable early identification of fatigue-related injury risks, supporting preventive strategies for canoe athletes.

Keywords: high-intensity exercise, gait analysis, Muscle Fatigue, Injury risk prediction, CANoe

Received: 24 Jun 2025; Accepted: 02 Oct 2025.

Copyright: © 2025 Kim, Shin, Kim, Choi and Son. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Seoungeun Kim, havocangel@naver.com

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