2017
DOI: 10.1016/j.gaitpost.2016.11.005
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Asymmetry between lower limbs during rested and fatigued state running gait in healthy individuals

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Cited by 83 publications
(97 citation statements)
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“…Like variability, it is possible that symmetry values alter during an exercise bout, for example when the athlete is fatigued, or as they become accustomed to its intensity. Recent research by Radzak et al (2017) found differences in symmetry angle between rested and fatiguedstate running for several gait variables, although other variables were asymmetrical both before and after the fatiguing protocol. Similar research (Brown et al, 2014;Girard et al, 2017) found that dominant and non-dominant legs fatigued at similar rates, and thus inter-leg asymmetries are not likely due to lower limb dominance (Brown et al, 2014).…”
Section: Introductionmentioning
confidence: 90%
“…Like variability, it is possible that symmetry values alter during an exercise bout, for example when the athlete is fatigued, or as they become accustomed to its intensity. Recent research by Radzak et al (2017) found differences in symmetry angle between rested and fatiguedstate running for several gait variables, although other variables were asymmetrical both before and after the fatiguing protocol. Similar research (Brown et al, 2014;Girard et al, 2017) found that dominant and non-dominant legs fatigued at similar rates, and thus inter-leg asymmetries are not likely due to lower limb dominance (Brown et al, 2014).…”
Section: Introductionmentioning
confidence: 90%
“…Most previous studies focused on the direct relationship between fatigue and injury, especially the biomechanical changes in the lower extremities before and after fatigue [15][16][17][18][19]. For instance, Radzak et al [14] reported the biomechanical asymmetry (e.g., loading rate and knee/vertical stiffness) of the lower limbs before and after fatigue.…”
Section: Introductionmentioning
confidence: 99%
“…was used to model segments (torso, pelvis, thighs, shanks and feet, Figure 2). PiG has been used extensively in gait research (Kadaba, Ramakrishnan, & Wootten, 1990;Kulmala et al, 2017;Radzak, Putnam, Tamura, Hetzler, & Stickley, 2017). Although there are not yet any published data in sprinting, the unmodified PiG model is supported by reliability data during walking gait (Ferrari et al, 2008), revealing good reliability and correlation with other approaches including the Calibrated Anatomical System Technique (CAST; Benedetti, Catani & Leardini 1998).…”
Section: Participantsmentioning
confidence: 97%