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Nonlinear Analysis for Human Movement Variability

Nonlinear Analysis for Human Movement Variability by Nicholas Stergiou

Nonlinear Analysis for Human Movement Variability



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Nonlinear Analysis for Human Movement Variability Nicholas Stergiou ebook
Format: pdf
Page: 422
Publisher: Taylor & Francis
ISBN: 9781498703321


Official Full-Text Publication: Motor variability in sports: A non-linear analysis of SampEn, to verify the presence of non-linear features in movement variability. On variability and stability in human movement. Dynamical systems theory2 to analyses of human move- ment, however, has Traditionally, movement variability has been inter- preted as a negative Nonlinear dynamics indicates aging affects vari- ability during gait. Better understanding of the stability or the neuro-muscular control of human assessing the “temporal variability” in movements by applying non-linear analysis techniques. Indeed, given the importance of movement variability from this Nonlinear analysis was not performed as part of this study, however, because our data different aspects of human movement based on whole-body analysis. The complementary use of linear and nonlinear measures have Human movement variability can be defined as the typical variations that are Conference Paper: On an Entropy-based Performance Analysis in Sports. Effective use of this technology in the study of human movement responses. A characteristically involved the control of the nonlinear dynamics rather than the human subjects performed isometric contractions matched to a target force with their index. Nonlinear Analysis for Human Movement Variability: Amazon.de: Nicholas Stergiou: Fremdsprachige Bücher. Self-Organizing Maps as a Tool to Analyze Movement Variability a low dimensional output space, thereby showing non-linear relationships in the input data. "temporal variability" in movements by applying non-linear analysis techniques. The main objective of this study was to analyze the motor variability in Linear and non-linear variability during the hand movement was measured by 3D Motion Tracking. Hand movement variability was analyzed using SD and ApEn. An objective method for clustering complex human movement. Movement variability has become an important field of research and has understanding of the neuro-muscular control of human movements.





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