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Updated: Jun 25, 2026
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A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
Published on: November 6, 2015
Multivariate prediction of upper limb prosthesis acceptance or rejection.
1Bloorview Research Institute, Toronto, Ontario, Canada.
Disability and Rehabilitation. Assistive Technology
|February 25, 2009
Summary
Timely prosthesis fitting significantly increases upper limb prosthesis acceptance. Early fitting, within two years for congenital or six months for acquired limb absence, makes individuals 16 times more likely to use a prosthesis.
Area of Science:
- Rehabilitation Medicine
- Prosthetics and Orthotics
- Biomedical Engineering
Background:
- Prosthesis rejection remains a significant challenge in upper limb absence rehabilitation.
- Understanding factors influencing prosthesis acceptance is crucial for improving patient outcomes.
Purpose of the Study:
- To develop and compare predictive models for upper limb prosthesis use or rejection.
- To identify key factors associated with prosthesis acceptance.
Main Methods:
- An international questionnaire study surveyed 191 individuals with upper limb absence.
- Logistic regression, C5.0 decision tree, and radial basis function neural network models were developed and evaluated.
- Model performance was assessed using sensitivity, specificity, and cross-validation accuracy.
Main Results:
- Logistic regression and neural network models achieved approximately 84% accuracy.
- Specificity was high at 93%, while sensitivity was 61%.
- Early fitting time-frame (within 2 years congenital, 6 months acquired) was the strongest predictor of prosthesis use.
Conclusions:
- Clinical strategies should prioritize timely, client-centered prosthesis fitting.
- Improvements in prosthesis design and healthcare are needed, especially for high-level or bilateral limb absence.
- Multivariate analyses effectively determine factors influencing prosthesis acceptance and rejection.
