Assessing standing balance using MIMO-closed Loop System Identification Techniques
Jantsje H. Pasma (Leiden University Medical Center, TU Delft - Biomechatronics & Human-Machine Control)
Denise Engelhart (University of Twente)
Andrea B. Maier (Amsterdam UMC)
Carel G M Meskers (Amsterdam UMC)
Ronald G K M Aarts (University of Twente)
Alfred C. Schouten (TU Delft - Biomechatronics & Human-Machine Control)
Herman van der Kooij (TU Delft - Biomechatronics & Human-Machine Control, University of Twente)
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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.