Abstract
Closed-loop system identification techniques are applied to signals obtained from the central nervous system of human Parkinsonian patients. The question is posed as to whether feedback exists from tremor, via sensory inputs, to thalamic tremor cells which are thought to drive Parkinsonian tremor. Linear multivariable models are fitted to the data, and it is found that, in general, the relationship between tremor and cell activity is best described by a closed-loop system. The results are consistent with the hypothesis that Parkinsonian tremor is the result of an unstable reflex loop in the central nervous system. 16 refs.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 291-294 |
| Number of pages | 4 |
| Journal | Proceedings of the IEEE Conference on Decision and Control |
| State | Published - Dec 1 1986 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Control and Systems Engineering
- Modeling and Simulation
- Control and Optimization
Cite this
Schnider, S. M., Kwong, R. H., Kwan, H. C., & Lenz, F. A. (1986). DETECTION OF FEEDBACK IN THE CENTRAL NERVOUS SYSTEM OF PARKINSONIAN PATIENTS. Proceedings of the IEEE Conference on Decision and Control, 291-294.