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245 24Text (without Tables): 2982 25 26 3 Abstract 27 Movement variability has become an important field of research and has been studied to gain a 28 better understanding of the stability or the neuro-muscular control of human movements. In 29 addition to studies investigating "amplitude variability" there are a growing number of studies 30 assessing the "temporal variability" in movements by applying non-linear analysis techniques. 31One limitation of the studies available to date is that they quantify variability features in specific, 32 pre-selected biomechanical or physiological variables. In many cases it remains unclear if and 33 to what degree these pre-selected variables quantify characteristics of the whole body 34 movement. This technical note proposes to combine two analysis techniques that have already 35been applied for gait analysis in order to quantify variability features in walking with variables 36 whose significance for the whole movements are known. Gait patterns were recorded using a 37 full-body marker set on the subjects whose movements were captured with a standard motion 38 tracing system.

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An implantable functional electrical stimulation system seems to be a promising treatment of drop feet following strokes. Further clinical investigations are necessary to confirm these first insights.

A MRI-based approach to define subject-specific pennation angle was proposed and evaluated in motion analysis models. The significant differences obtained for the moments and muscle forces in quadriceps muscles indicate that a personalized approach in modeling the pennation angle can provide more individual details when investigating motion behaviors in specific subjects.