A simple tool to measure spasticity in spinal cord injury subjects.

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Title: A simple tool to measure spasticity in spinal cord injury subjects.
Author(s): Arami, A
Tagliamonte, NL
Tamburella, F
Huang, H-Y
Molinari, M
Burdet, E
Item 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.
Publication Date: 15-Aug-2017
Date of Acceptance: 17-Jul-2017
URI: http://hdl.handle.net/10044/1/54711
DOI: https://dx.doi.org/10.1109/ICORR.2017.8009475
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/Funder: Commission of the European Communities
Funder's Grant Number: 611626
Conference Name: 2017 International Conference on Rehabilitation Robotics (ICORR)
Publication Status: Published
Start Date: 2017-07-17
Finish Date: 2017-07-20
Conference Place: London, UK
Appears in Collections:Faculty of Engineering

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