Identification Techniques for Mathematical Modeling of the Human Smooth Pursuit System
This thesis proposes nonlinear system identification techniques for the mathematical modeling of the human smooth pursuit system (SPS) with application to motor symptom quantification in Parkinson's disease (PD). The SPS refers to the complex neuromuscular system in humans that governs the smoo...
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| Format: | Doctoral Thesis |
| Language: | English |
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Uppsala universitet, Reglerteknik
2015
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-264292 http://nbn-resolving.de/urn:isbn:978-91-554-9367-7 |