Abstract
Gait stability is primary in assessing individuals with high risk of falling, particularly the elderly. Custom made self-adjustable wireless gyroscope suit is used as a sensing device to quantify gait stability. A nonlinear time series analysis i.e. maximum Lyapunov exponent (λ*) was employed to estimate the short term and long term stability and it is closely related to the ability of human neuro-muscular control system in maintaining gait stability. Experimental analysis and tests validated the efficacy of this novel approach. The results achieved are comparable with the findings of multiple kinematic and dynamic parameters derived from optical motion capture system and force platform which are widely used as gold standard.
| Original language | English |
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| Title of host publication | 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 7824-7828 |
| Number of pages | 5 |
| ISBN (Print) | 9781424441211 |
| DOIs | |
| Publication status | Published - 2011 |
| Event | International Conference of the IEEE Engineering in Medicine and Biology Society 2011 - Boston, United States of America Duration: 30 Aug 2011 → 3 Sept 2011 Conference number: 33rd https://ieeexplore.ieee.org/xpl/conhome/6067544/proceeding (Proceedings) |
Publication series
| Name | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
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| ISSN (Print) | 1557-170X |
Conference
| Conference | International Conference of the IEEE Engineering in Medicine and Biology Society 2011 |
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| Abbreviated title | EMBC 2011 |
| Country/Territory | United States of America |
| City | Boston |
| Period | 30/08/11 → 3/09/11 |
| Internet address |