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Quantitative Evaluation of Spasticity in Upper Limb based on Muscle Model…
Quantitative Evaluation of Spasticity in Upper Limb based on Muscle Model of Hemiparesis
Objectives
Objective 1: To model the stroke patient's upper extremity physical recovery characteristics using appropriate classification method
Classifier SVM: 76% accuracy; Features selection 1) Catch Position 2) 3)4); related paper publish-1
Objective 2: To define the dynamic mapping between patient's recovery parameters and control parameters using intelligent model free technique
simulation: adaptive control with switching event (Hybrid Automata)
Objective 3: To evaluate the performance of the adaptive impedance control framework on the robot-assisted neuro-rehabilitation platform
Apply controller on hardware and test the performance
Paper published
3 conference
1 scopus journal
PhD requirement:
1 Q1/Q2 journal
1 Q3/Q4 journal + 1 scopus journal
4 scopus journal
Thesis outline
Chapter 1:Introduction
Problem statement
Research Objectives
New Finding Knowledge
Scope and limitation
Significance of research
Outline of thesis
Chapter 2: Literature Review
Introduction
Neurological Assessment Tools
Spasticity
Articulation of upper limb
Robotic Assessment rehabilitation
Control strategies
Summary
Classification
Chapter 3: Methodology
Research Framework
Research Method
Chapter 4: Clinical Database
Clinical Data Measurement
Clinical Data Analysis
Chapter 6: Controller Framework
Chapter 7: Prototype Development
System Design
Software Design
Chapter 5: Classification
Feature Extraction
Features Selection
Classifier
Chapter 8: Conclusion and Recommendation
