Upper-limb impedance parameters-based model for motor recovery
Estimation of patients’ muscle tones allow proper prescription of therapy and determination of physical recovery progress. The book proposes a strategy for the estimation of upper-limb mechanical impedance parameters as a mean for the prediction and assessment of subjects’ muscle tone level and reco...
| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
IIUM Press, International Islamic University Malaysia
2017
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/65972/ http://irep.iium.edu.my/65972/ http://irep.iium.edu.my/65972/1/65972_Upper-limb%20impedance%20parameters-based%20model%20for%20motor%20recovery.pdf |
| Summary: | Estimation of patients’ muscle tones allow proper prescription of therapy and determination of physical recovery progress. The book proposes a strategy for the estimation of upper-limb mechanical impedance parameters as a mean for the prediction and assessment of subjects’ muscle tone level and recovery state. The human upper-limb is modeled as a mass-spring-damper system and represented as an Auto Regressive eXogenous (ARX) dynamic equation for the estimation of upper-limb mechanical impedance parameters. The estimated impedance parameters are then fed as inputs to a trained Artificial Neural Network (ANN) which is used to predict, the subjects’ muscle tone level and recovery state during rehabilitation exercise. |
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