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A novel sensor-based assessment of lower limb spasticity in children with cerebral palsy

Title
A novel sensor-based assessment of lower limb spasticity in children with cerebral palsy
Authors
Choi, SeoyoungShin, Yong BeomKim, Soo-YeonKim, Jonghyun
DGIST Authors
Kim, Jonghyun
Issue Date
2018-06
Citation
Journal of NeuroEngineering and Rehabilitation, 15(1)
Type
Article
Article Type
Article
Keywords
AccuracyAssessmentCerebral palsyInertia measurement unit (IMU)Joint angleModified Tardieu scaleReliabilitySpasticity
ISSN
1743-0003
Abstract
Background: To provide effective interventions for spasticity, accurate and reliable spasticity assessment is essential. For the assessment, the Modified Tardieu Scale (MTS) has been widely used owing to its simplicity and convenience. However, it has poor or moderate accuracy and reliability. Methods: We proposed a novel inertial measurement unit (IMU)-based MTS assessment system to improve the accuracy and reliability of the MTS itself. The proposed system consists of a joint angle calculation algorithm, a function to detect abnormal muscle reaction (a catch and clonus), and a visual biofeedback mechanism. Through spastic knee and ankle joint assessment, the proposed IMU-based MTS assessment system was compared with the conventional MTS assessment system in 28 children with cerebral palsy by two raters. Results: The results showed that the proposed system has good accuracy (root mean square error < 3.2°) and test-retest and inter-rater reliabilities (ICC > 0.8), while the conventional MTS system has poor or moderate reliability. Moreover, we found that the deteriorated reliability of the conventional MTS system comes from its goniometric measurement as well as from irregular passive stretch velocity. Conclusions: The proposed system, which is clinically relevant, can significantly improve the accuracy and reliability of the MTS in lower limbs for children with cerebral palsy. © 2018 The Author(s).
URI
http://hdl.handle.net/20.500.11750/6605
DOI
10.1186/s12984-018-0388-5
Publisher
BioMed Central Ltd.
Related Researcher
  • Author Kim, Jonghyun REL(Rehabilitation Engineering Laboratory)
  • Research Interests Rehabilitation engineering; Robotics; Nonlinear control
Files:
Collection:
Department of Robotics EngineeringREL(Rehabilitation Engineering Laboratory)1. Journal Articles


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