Upper Limb Recovery Prediction After Stroke Rehabilitation Based on Regression Method

Just why the fuck are you looking at recovery predictions? Rather than solving all the problems in stroke and writing stroke rehab protocols? Laziness? Incompetence? Or just don't care? No leadership? No strategy? Not my job?

 

Upper Limb Recovery Prediction After Stroke Rehabilitation Based on Regression Method

 

• Authors
• Authors and affiliations

• Ghada M. Bani Musa
• Fady Alnajjar
• Adel Al-Jumaily
• Shingo Shimoda

• Ghada M. Bani Musa
  • 1
• Fady Alnajjar
  • 2
  • 3
  Email author
• Adel Al-Jumaily
  • 1
• Shingo Shimoda
  • 3

1. 1.Faculty of Engineering and Information TechnologyUniversity of Technology SydneySydneyAustralia
2. 2.College of Information Technology (CIT)United Arab Emirates UniversityAl AinUAE
3. 3.Intelligent Behavior Control UnitRikenWakoJapan

Conference paper

First Online: 16 October 2018

Part of the Biosystems & Biorobotics book series (BIOSYSROB, volume 21)

Abstract

In this paper, we investigate the possibility of a machine-learning algorithm using the Support Victor Machine Regression (SVMR) to predict the motor functional recovery of moderate post stroke patients during their rehabilitation program. To train the model, we used the recorded electromyography (EMG) signals from the upper limb muscles of the patients during their initial rehabilitation sessions. Then we tested the trained model to predict the later muscles performance of the patient during the same sessions. The results of this pilot study were promising; data were, to some extent, predictable. We believe such research direction could be essential to motivate the patient to complete the designed rehabilitation program and can assist the therapist to innovate proper rehabilitation menu for individual patients.

Keywords

Upper limb Rehabilitation Regression SVMR 

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