A simple tool to measure spasticity in spinal cord injury subjects.
File(s)Camera_ready_Spasticity_final2.pdf (961.13 KB)
Accepted version
Author(s)
Type
Conference Paper
Abstract
This work presents a wearable device and the algorithms for quantitative modelling of joint spasticity and its application in a pilot group of subjects with different levels of spinal cord injury. The device comprises light-weight instrumented handles to measure the interaction force between the subject and the physical therapist performing the tests, EMG sensors and inertial measurement units to measure muscle activity and joint kinematics. Experimental tests included the passive movement of different body segments, where the spasticity was expected, at different velocities. Tonic stretch reflex thresholds and their velocity modulation factor are computed, as a quantitative index of spasticity, by using the kinematics data at the onset of spasm detected through thresholding the EMG data. This technique was applied to two spinal cord injury subjects. The proposed method allowed the analysis of spasticity at muscle and joint levels. The obtained results are in line with the expert diagnosis and qualitative spasticity characterisation on each individual.
Date Issued
2017-08-15
Date Acceptance
2017-07-17
Citation
2017 International Conference on Rehabilitation Robotics (ICORR), 2017
Publisher
IEEE
Journal / Book Title
2017 International Conference on Rehabilitation Robotics (ICORR)
Copyright Statement
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Commission of the European Communities
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/28814047
Grant Number
611626
Source
2017 International Conference on Rehabilitation Robotics (ICORR)
Publication Status
Published
Start Date
2017-07-17
Finish Date
2017-07-20
Coverage Spatial
London, UK