Intrinsic movement variability at work. How long is the path from motor control to design engineering?

Gaudez, Clarisse; Gilles, M.; Savin, Jonathan

doi:10.1016/j.apergo.2015.08.014

Cited by 33 publications

(27 citation statements)

References 100 publications

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“…Variability is a fundamental feature of all biological systems [42,43] and, to our knowledge; this is the first attempt to understand the nature of variability in plantar pressure, and to quantify its relationship with walking speed. Our overall findings are that: both within and between subjects: (i) the absolute magnitude of variability in plantar pressure step-to-step is widely disparate across speeds, when calculated by m.s.e.…”

Section: Discussionmentioning

confidence: 99%

The nature of functional variability in plantar pressure during a range of controlled walking speeds

McClymont¹,

Pataky

Crompton³

et al. 2016

R. Soc. open sci.

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During walking, variability in step parameters allows the body to adapt to changes in substrate or unexpected perturbations that may occur as the feet interface with the environment. Despite a rich literature describing biomechanical variability in step parameters, there are as yet no studies that consider variability at the body–environment interface. Here, we used pedobarographic statistical parametric mapping (pSPM) and two standard measures of variability, mean square error (m.s.e.) and the coefficient of variation (CV), to assess the magnitude and spatial variability in plantar pressure across a range of controlled walking speeds. Results by reduced major axis, and pSPM regression, revealed no consistent linear relationship between m.s.e. and speed or m.s.e. and Froude number. A positive linear relationship, however, was found between CV and walking speed and CV and Froude number. The spatial distribution of variability was highly disparate when assessed by m.s.e. and CV: relatively high variability was consistently confined to the medial and lateral forefoot when measured by m.s.e., while the forefoot and heel show high variability when measured by CV. In absolute terms, variability by CV was universally low (less than 2.5%). From these results, we determined that variability as assessed by m.s.e. is independent of speed, but dependent on speed when assessed by CV.

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Section: Discussionmentioning

confidence: 99%

The nature of functional variability in plantar pressure during a range of controlled walking speeds

McClymont¹,

Pataky

Crompton³

et al. 2016

R. Soc. open sci.

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show abstract

“…The intermuscular differences between men and women may point to both sexes having different intrinsic motor control strategies [5,22,48], emphasizing that biological aspects alone cannot explain why women would be at higher risk for developing MSD than men [59]. This means that a wider range of individual and environmental factors should be taken into account [4] as well as the full range of occupational tasks [56], so that work station design or work organization may be optimized not only at the sex level but also at the individual level.…”

Section: Resultsmentioning

confidence: 99%

“…Table 4). These contrasting explanations clearly show that there is no consensus in the current literature whether either a decrease or an increase in motor variability should be considered as a risk factor for developing MSD [55,56].…”

Section: Effect Of Sex On Motor Variabilitymentioning

confidence: 95%

Sex differences in muscle activity and motor variability in response to a non-fatiguing repetitive screwing task

et al. 2020

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Background: Musculoskeletal disorders are more prevalent among women than among men, which may be explained by aspects of motor control, including neuromuscular requirements and motor variability. Using an exploratory approach, this study aimed to evaluate sex differences in neuromuscular responses and motor variability during a repetitive task performed on 3 days.Methods: Thirty women and 27 men performed the non-fatiguing, repetitive, 1-h screwing task. For neuromuscular responses, the mean and difference values of static, median, and peak percentile muscle activity levels (normalized to a reference voluntary contraction force) and, for motor variability, the mean and difference values of relative and absolute cycle-to-cycle variability across days were compared between both sexes for each muscle. A mixed-design analysis of variance was used to assess differences between both sexes.Results: The non-fatiguing character of the screwing task was confirmed by the absence of decreased force levels in maximal voluntary contractions performed before and after the task and by absence of electromyographic signs of muscle fatigue. The static and median muscle activity levels tended to be higher among women (on average 7.86 and 27.23 %RVE) than men (on average 6.04 and 26.66 %RVE). Relative motor variability of the flexor and biceps muscles and absolute motor variability of both upper arm muscles were lower in women (on average 0.79 and 29.70 %RVE) than in men (on average 0.89 and 37.55 %RVE). The median activity level of both upper arms muscles tended to decrease within days among women (on average -2.63 %RVE) but increase among men (on average + 1.19 %RVE). Absolute motor variability decreased within days among women (on average -5.32 to -0.34%RVE), whereas it tended to decrease less or increase within days among men (on average -1.21 to + 0.25 %RVE).Conclusion: Women showed higher levels of muscle activity and lower initial relative and absolute motor variability than males when performing the same occupational task, implying women may have a higher risk for developing disorders and point to both sexes using different intrinsic motor control strategies in task performance. Clearly, biological aspects alone cannot explain why women would be at higher risk for developing disorders than men. Therefore, a wider range of individual and environmental factors should be taken into account for optimizing work station designs and organizations by taking into account sex differences.

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“…MV is linked to motor control, i.e., the constant interactions between a subject, the environment in which they act and the task to be performed. A comprehensive presentation of MV can be found in Gaudez et al [4] and Srinivasan and Mathiassen [5].…”

mentioning

confidence: 99%

“…These communities address various aspects of movement and each has their own terminology. Thus, in the literature, notions such as natural variations [1], inherent variability [2], motor variability [3] or MV [4] are encountered. In this paper, we define MV as differences in body segment movements and/or muscle activities between repeats of a task, with cyclic or intermittent task repetitiveness throughout the day.…”

mentioning

confidence: 99%

Movement Variability and Digital Human Models: Development of a Demonstrator Taking the Effects of Muscular Fatigue into Account

Savin

Gilles

Gaudez

et al. 2016

Advances in Intelligent Systems and Computing

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Abstract.Movement variability is an essential characteristic of human movement. However, despite its prevalence, it is almost completely ignored in workstation design. Neglecting this variability can lead to skip over parts of the future operator's movements, thus bring to incomplete assessment of biomechanical risk factors. This paper starts with a focus on movement variability in occupational activities. Then, as an example of feasibility, it describes a Digital Human Model framework intended to simulate the movement variability induced by muscle fatigue. The demonstrator is based on several simulation environments, namely 1) XDE, a virtual human simulation software tool previously used for ergonomics analyses, 2) a dynamic three-compartment model of muscle fatigue and recovery, and 3) OpenSim, a dynamic musculoskeletal simulation software. The demonstrator is a first step towards tools to assist designers in considering movement variability for improved ergonomics at the workstation.

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Intrinsic movement variability at work. How long is the path from motor control to design engineering?

Cited by 33 publications

References 100 publications

The nature of functional variability in plantar pressure during a range of controlled walking speeds

The nature of functional variability in plantar pressure during a range of controlled walking speeds

Sex differences in muscle activity and motor variability in response to a non-fatiguing repetitive screwing task

Movement Variability and Digital Human Models: Development of a Demonstrator Taking the Effects of Muscular Fatigue into Account

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