The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Identification of Adaptation in Human Postural Control using GARCH Models

Author

Summary, in English

Human postural dynamics was investigated in twelve normal subjects by means of a force platform recording body sway induced by bipolar transmastoid galvanic stimulation of the vestibular nerve and labyrinth. We modeled the stabilizing forces actuated by the feet as resulting from complex muscular activity subject to feedback of body velocity and position. Time series analysis demonstrated that a transfer function from stimulus to sway-force response with specific parameters could be identified. In addition, adaptation to the vestibular stimulus was demonstrated to exist. Residual GARCH modeling (generalized autoregressive conditional heteroskedasticity) suggested a postural adaptation time constant in the range of 40-50 s. The results suggest means to evaluate adaptive behavior in postural control and in other physiological contexts

Publishing year

2001

Language

English

Pages

7-12

Publication/Series

Proceedings of the 40th IEEE Conference on Decision and Control, 2001.

Volume

1

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Control Engineering

Keywords

  • transfer function
  • time series analysis
  • stabilizing forces
  • labyrinth
  • human postural control
  • generalized autoregressive conditional heteroskedasticity
  • feedback
  • force platform
  • complex muscular activity
  • body sway
  • bipolar transmastoid galvanic stimulation
  • adaptation identification
  • GARCH models
  • vestibular nerve
  • adaptive control

Status

Published

ISBN/ISSN/Other

  • ISBN: 0-7803-7061-9