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.
Original language | English |
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Title of host publication | IFAC-PapersOnline |
Editors | Y Zhao |
Publisher | Elsevier |
Pages | 1381-1385 |
Volume | 48 - 28 |
DOIs | |
Publication status | Published - 2015 |
Event | 17th IFAC Symposium on System Identification - Beijing, China Duration: 19 Oct 2015 → 21 Oct 2015 |
Conference
Conference | 17th IFAC Symposium on System Identification |
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Abbreviated title | SYSID 2015 |
Country/Territory | China |
City | Beijing |
Period | 19/10/15 → 21/10/15 |
Keywords
- Closed-loops
- Diagnosis
- MIMO
- Perturbation
- System identification