Assessing standing balance using MIMO-closed Loop System Identification Techniques

Conference paper (2015)

Authors

J.H. Pasma Biomechatronics & Human-Machine Control - Mechanical, Maritime and Materials Engineering , Leiden University Medical Center
D. Engelhart University of Twente
Andrea B. Maier Amsterdam UMC
Carel G.M. Meskers Amsterdam UMC
Ronald G K M Aarts University of Twente
A.C. Schouten Biomechatronics & Human-Machine Control - Mechanical, Maritime and Materials Engineering
H. van der Kooij Biomechatronics & Human-Machine Control - Mechanical, Maritime and Materials Engineering , University of Twente
Research Group
Biomechatronics & Human-Machine Control (Mechanical, Maritime and Materials Engineering) (TU Delft)
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Published Date

2015

Language

English

Reuse Rights

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Biomechanical Engineering

Research Group

Biomechatronics & Human-Machine Control

Abstract

Human standing balance is a complex of systems, like the muscles, nervous system and sensory systems, interacting with each other in a closed loop to maintain upright stance. With age, disease and medication use these systems deteriorate, which could result in impaired balance. In this paper, it is demonstrated that multi-input-multi-output closed loop system identification techniques (MIMO-CLSIT) can be used to assess the underlying systems involved in standing balance and guide possible therapeutic options. In this study, mechanical and sensory perturbations were combined and applied simultaneously using a Balance test Room. The results demonstrate the value of MIMO-CLSIT to assess the underlying systems involved in standing balance and therefore to improve diagnosis of impaired standing balance.