Effects of fatigue on inter-cycle variability in cross-country skiing

Cignetti, Fabien; Schena, Federico; Rouard, Annie

doi:10.1016/j.jbiomech.2009.04.012

Cited by 46 publications

(40 citation statements)

References 40 publications

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“…Among the most recent investigations, the study of Cignetti, Schena, & Rouard (2009) gives an illustration of the flexibility capabilities of the neuromuscular system to counteract the fatigue induced by a cross-country skiing effort. The study exemplifies the model developed by Stergiou et al (2006).…”

Section: Further Theoretical Developmentsmentioning

confidence: 99%

Human movement variability, nonlinear dynamics, and pathology: Is there a connection?

Stergiou

Decker

2011

Human Movement Science

763

719

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Fields studying movement generation, including robotics, psychology, cognitive science and neuroscience utilize concepts and tools related to the pervasiveness of variability in biological systems. The concept of variability and the measures for nonlinear dynamics used to evaluate this concept open new vistas for research in movement dysfunction of many types. This review describes innovations in the exploration of variability and their potential importance in understanding human movement. Far from being a source of error, evidence supports the presence of an optimal state of variability for healthy and functional movement. This variability has a particular organization and is characterized by a chaotic structure. Deviations from this state can lead to biological systems that are either overly rigid and robotic or noisy and unstable. Both situations result in systems that are less adaptable to perturbations, such as those associated with unhealthy pathological states or absence of skillfulness.

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Section: Further Theoretical Developmentsmentioning

confidence: 99%

Human movement variability, nonlinear dynamics, and pathology: Is there a connection?

Stergiou

Decker

2011

Human Movement Science

763

719

View full text Add to dashboard Cite

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“…It relates to the functional connectivity of neural nets (structure), chaotic dynamics, and neural Darwinism. Cignetti et al (2009) discussed effects of fatigue on intercycle variability in cross-country skiing.…”

Section: Biofield and Nonlinear Biologymentioning

confidence: 99%

Chaos, Fractal in Biology, Biothermodynamics and Matrix Representation on Hypercycle

Chang¹

2013

Neuroquantology

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First, we discuss biofield and some nonlinear theories in biology. Next, chaos in biology and its application to cancer are researched. Third, fractal and complex dimension in biology are searched. Fourth, nonlinear biothermodynamics and in which possible entropy decrease are investigated. Fifth, we propose the matrix representations of hypercycle theory. Hypercycle can be defined by a degree of connectivity. Its fuzzy element corresponds to that each element is fractal. NeuroQuantology should be nonlinearity and quantization, and may relate to quantum chaos, quantized matrix, etc.

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“…The variability of cyclic movements may be classified as more (periodic or stereotypic) or less predictable (random) and it is proposed that in a healthy situation an optimal state of movement variability exists, which is characterized by a rather complex and chaotic pattern and placed somewhere in between the purely periodic and random movement pattern [16]. Experimental data suggests that subjects with neuromuscular pathologies or injuries exhibit movement variability with either more predictable (like a robot) [19] or random [20] structures. Approximate entropy (ApEn) is a nonlinear dynamical tool to quantify the complexity of a signal [21].…”

Section: Introductionmentioning

confidence: 99%

Movement Behavior of High-Heeled Walking: How Does the Nervous System Control the Ankle Joint during an Unstable Walking Condition?

et al. 2012

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The human locomotor system is flexible and enables humans to move without falling even under less than optimal conditions. Walking with high-heeled shoes constitutes an unstable condition and here we ask how the nervous system controls the ankle joint in this situation? We investigated the movement behavior of high-heeled and barefooted walking in eleven female subjects. The movement variability was quantified by calculation of approximate entropy (ApEn) in the ankle joint angle and the standard deviation (SD) of the stride time intervals. Electromyography (EMG) of the soleus (SO) and tibialis anterior (TA) muscles and the soleus Hoffmann (H-) reflex were measured at 4.0 km/h on a motor driven treadmill to reveal the underlying motor strategies in each walking condition. The ApEn of the ankle joint angle was significantly higher (p<0.01) during high-heeled (0.38±0.08) than during barefooted walking (0.28±0.07). During high-heeled walking, coactivation between the SO and TA muscles increased towards heel strike and the H-reflex was significantly increased in terminal swing by 40% (p<0.01). These observations show that high-heeled walking is characterized by a more complex and less predictable pattern than barefooted walking. Increased coactivation about the ankle joint together with increased excitability of the SO H-reflex in terminal swing phase indicates that the motor strategy was changed during high-heeled walking. Although, the participants were young, healthy and accustomed to high-heeled walking the results demonstrate that that walking on high-heels needs to be controlled differently from barefooted walking. We suggest that the higher variability reflects an adjusted neural strategy of the nervous system to control the ankle joint during high-heeled walking.

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Effects of fatigue on inter-cycle variability in cross-country skiing

Cited by 46 publications

References 40 publications

Human movement variability, nonlinear dynamics, and pathology: Is there a connection?

Human movement variability, nonlinear dynamics, and pathology: Is there a connection?

Chaos, Fractal in Biology, Biothermodynamics and Matrix Representation on Hypercycle

Movement Behavior of High-Heeled Walking: How Does the Nervous System Control the Ankle Joint during an Unstable Walking Condition?

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