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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ludvig, D. Perreault, E.J. |
| Copyright Year | 2011 |
| Description | Author affiliation: Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, IL 60657 USA (Ludvig, D.) || Department of Biomedical Engineering and the Department of Physical Medicine and Rehabilitation at Northwestern University, Chicago, IL 60611 USA (Perreault, E.J.) |
| Abstract | Joint impedance is an important property of the human muscular system and plays a role in the control of movement and posture. Previous studies showed that joint impedance varies with the position of the joint and activation level of the surrounding muscles; however, it remains unknown how it varies during movement. Non-parametric algorithms that estimate time-varying impedance do exist; however these algorithms require hundreds of realizations of the same time-varying behavior. In this paper we develop a non-parametric algorithm that can estimate slowly time-varying impedance using multiple short data segments. Using simulated data we evaluate the desired data segment length and the number of realizations needed to yield accurate estimates. |
| Starting Page | 4120 |
| Ending Page | 4123 |
| File Size | 774850 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424441211 |
| ISSN | 1557170X |
| e-ISBN | 9781457715891 |
| e-ISBN | 9781424441228 |
| DOI | 10.1109/IEMBS.2011.6091023 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Impedance Joints Computational modeling Correlation Time varying systems Data models Estimation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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