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Changes of Plantar Pressure Distribution Caused by Fatigue after Three Different Motions |
FAN Xiao-ya1, YANG Yang1, PU Fang1,2, YE Ying-hua1, LI De-yu1,2, FAN Yu-bo1,2 |
1. Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering,Beihang University, Beijing 100191, China; 2. Research Institute of Beihang University in Shenzhen, Shenzhen 518057, China |
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Abstract Objective: Foot injuries usually happen due to fatigue. Therefore,it is important to understand the changes of gait induced by foot fatigue. This paper aims to discuss the different changes of plantar pressure distribution (PPD) caused by fatigue after three different motions. Materials and Methods: The PPD of six healthy subjects were measured before and after speed steady running, shuttle running and speed agility running by the Footscan system. The peak force and contact time from ten plantar anatomical regions were calculated. Results: There was a significant difference in PPD between pre- and post-running. Furthermore, the changes of foot loading characteristics caused by fatigue in different motions were evidently distinct. Discussion: The possible reason may be the different fatigue degrees of muscles after different motions. It suggested that the effects of fatigue on gait in different motions must be considered to avoid sports injuries and different safeguard procedures should be taken in various motions to decrease the incidence of injuries induced by fatigue.
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Received: 12 August 2018
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Fund:National Natural Science Foundation of China; grant number: 11072022; grant sponsor: National Key Technology R&D Program; grant number: 2009BAI71805 |
Corresponding Authors:
PU Fang. E-mail: pufangbme@buaa.edu.cn
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[l] Rosenbaum D, Becker HP. Plantar pressure distribution measurements. Technical background and clinical applications[J]. Foot & Ankle Surgery, 1997, 3:1-14. [2] Margaret Chilvers MD, Arthur MIM.The subtle cavus foot and association with ankle instability and lateral foot overload[J]. Foot & Ankle Clinics, 2008, 13:315-324. [3] Bisiaux M, Moretto P.The effects of fatigue on plantar pressure distribution in walking[J]. Gait Posture, 2008, 28:693-698. [4] De Cock A, Willems T, Witvrouw E, et al.A functional foot type classification with cluster analysis based on plantar pressure distribution during jogging[J]. Gait Posture, 2006, 23:339-347. [5] Weist R, Eils E, Rosenbaum D.The influence of muscle fatigue on electromyogram and plantar pressure patterns as an explanation for the incidence of metatarsal stress fractures[J]. The American Journal of Sports Medicine, 2004, 32(8): 1893-1898. [6] Nagel A, Fernholz F, Kibele C, et al.Long distance running increases plantar pressures beneath the metatarsal heads: a barefoot walking investigation of 200 marathon runners[J]. Gait Posture, 2008, 27: 152-155. [7] Gefen A.Biomechanical analysis of fatigue-related foot injury mechanisms in athletes and recruits during intensive marching[J]. Medical & Biological Engineering & Computing, 2002, 40(3): 302-310. [8] Eils E, Streyl M, Linnenbecker S, et al.Characteristic plantarpressure distribution patterns during soccer-specific movements[J]. The American Journal of Sports Medicine, 2004, 32:140-145. [9] Hylton B M.Two feet, or one person? Problems associated with statistical analysis of paired data in foot and ankle medicine[J]. The Foot, 2004, 14: 2-5. [10] Urabe Y, Kobayashi R, Sumida S, et al.Electromyographic analysis of the knee during jump landing in male and female athletes[J]. Knee, 2005, 12:129-134. [11] Walden M, Hagglund M, Ekstrand J.Football injuries during european championships 2004-2005[J]. Knee Surgery, Sports Traumatology, Arthroscopy, 2007, 15(9): 1155-1162. |
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