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Published on: September 8, 2015
Accuracy and reliability of haptic spasticity assessment using HESS (Haptic Elbow Spasticity Simulator)
Jonghyun Kim1, Hyung-Soon Park, Diane L Damiano
1Rehabilitation Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA.
Summary
A new robotic system, Haptic Elbow Spasticity Simulator (HESS), accurately recreates spasticity levels for training clinicians. This tool enhances the standardization and reliability of clinical spasticity assessments.
Area of Science:
- Rehabilitation Engineering
- Clinical Neurology
- Robotics in Medicine
Background:
- Clinical spasticity assessment is subjective, relying on manual palpation of muscle tone.
- Lack of objective measures hinders consistent diagnosis and treatment planning.
- Standardization is crucial for reliable evaluation of spasticity severity.
Purpose of the Study:
- To evaluate the accuracy and reliability of a robotic system (HESS) in recreating spasticity.
- To assess HESS as a potential training tool for clinicians.
- To standardize the clinical assessment of spasticity.
Main Methods:
- Developed HESS, a programmable robotic system for simulating spasticity.
- Recreated four Modified Ashworth Scale (MAS) levels of elbow spasticity using clinical data from children with cerebral palsy.
- Seven experienced clinicians evaluated HESS's haptic responses for accuracy, reliability, and realism.
Main Results:
- High percent agreement (85.7±11.7%) between intended and determined MAS scores.
- Substantial inter-rater reliability (κ=0.646) among clinicians.
- High realism score (7.71±0.95 out of 10) for the recreated haptic responses.
Conclusions:
- Haptic recreation of spasticity by HESS demonstrates high accuracy and reliability.
- HESS shows potential as a valuable training tool for clinicians.
- The system can contribute to standardizing and improving the consistency of spasticity assessments.
