de.mpg.escidoc.pubman.appbase.FacesBean
English
 
Help Guide Disclaimer Contact us Login
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Understanding the role of the neuromuscular dynamics in biodynamic feedthrough problems

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84279

Venrooij,  J
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

Locator
There are no locators available
Fulltext (public)
There are no public fulltexts available
Supplementary Material (public)
There is no public supplementary material available
Citation

Venrooij, J., Abbink DA, Mulder M, van Paassen, M., & Mulder, M. (2010). Understanding the role of the neuromuscular dynamics in biodynamic feedthrough problems. In VI Pegasus - AIAA Student Conference 2010 (pp. 1-11).


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-C0D2-F
Abstract
Biodynamic feedthrough (BDFT) refers to a phenomenon where accelerations cause involuntary limb motions which, when coupled to a control device, can result in unintentional control inputs. This study aims to increase the understanding of BDFT, and the role of the neuromuscular system (NMS) in particular. The fundamental question driving this research is how accelerations are transferred through the human body, i.e., through the NMS, and how the exact setting of the NMS influences this feedthrough. As the neuromuscular system differs from person to person and is highly adaptable, it is expected that BDFT does not only vary from person to person, but that also a single person can express a range of BDFT dynamics by adaptation of the neuromuscular settings. To investigate this hypothesis, use is made of the neuromuscular admittance, which describes the dynamic response of human limbs in response to force disturbances. A measurement method was developed to measure neuromuscular admittance and BDFT simultaneously. The results from this experiment confirm that the neuromuscular system plays such a large role in the occurrence of BDFT that the variability of the neuromuscular system cannot be ignored when investigating BDFT problems. Based on the experimental data a BDFT model was developed. The model parameters were estimated by fitting the model on the experimental data. The model successfully captures BDFT dynamics in both the frequency domain and the time domain, for different subjects and different settings of the neuromuscular system.