UM  > Faculty of Science and Technology  > DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Residential Collegefalse
Status已發表Published
Relationship between Passive Stretch Resistance in spastic wrist Flexors and Clinical Scales of Stroke Survivors: A Cross-sectional Study
Ruihao Bian1; Zichong Luo2; Xin Huang1; Ruoli Wang3; Rong Song1; Sengfat Wong2; Le Li1
2019-01
Conference Name3rd IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2018
Source Publication2018 3rd International Conference on Advanced Robotics and Mechatronics (ICARM)
Pages136 - 139
Conference Date18-20 July 2018
Conference PlaceSingapore, Singapore
PublisherIEEE
Abstract

Objective: Spasticity is a common motor dysfunction in many neurological diseases, such as stroke, cerebral palsy and Parkinson's disease. The definition of spasticity used before excludes elasticity and viscosity caused by alterations of muscle and tissue properties. In this study, we explored components of passive movement resistance in the wrist flexor in subjects after stroke, and also investigate the correlation between these components and clinical scales such as Modified Ashworth scale(MAS) and Fugl-Meyer Assessment (FMA).Method: A cross-sectional study was performed in 15 stroke survivors. Modified Ashworth Scale and Fugl-Meyer Assessment were assessed by an experienced physical therapist. Components of passive movement resistance in the flexors of wrist and finger were recorded by NeuroFlexor (Aggro MedTech AB, Solna, Sweden), then the average resisting force in 1 second ensued the passive stretch at 5°/s was took as peak resisting force (PRF). The peak resisting force between paretic side and non-paretic side was compared. Pearson's correlation was used to test the relation between the components and Fugl-Meyer Assessment, while Spearman's rank correlation for Modified Ashworth scale and the components.Results: The Peak Resisting Force(PRF) of the paretic side (10.49±1.65N, mean±SD) during the slow passive stretch(5°/s) was significantly higher than the non-paretic side (8.98±1.11N, p<;0.05). Correlations between MAS and the components/peak resisting force were insignificant (Table II). FMA has significant correlations with Neural Component and Elasticity Component of the paretic side (Pearson's correlation, p<;0.05).Conclusions: The higher PRF of slow passive stretch in the paretic side might be attribute to the higher muscle stiffness. Subjects with lower Neural Component or Elasticity Component of the paretic wrist correlated with FMA. These findings could be applied in clinical evaluation of functional performance of the wrist muscle of stroke survivors.

DOI10.1109/ICARM.2018.8610793
Indexed ByCPCI-S
Language英語English
WOS Research AreaComputer Science ; Robotics
WOS SubjectComputer Science, Cybernetics ; Robotics
WOS IDWOS:000458327200024
The Source to Articlehttps://ieeexplore.ieee.org/document/8610793
Scopus ID2-s2.0-85061477024
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Faculty of Science and Technology
Corresponding AuthorLe Li
Affiliation1.First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
2.Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Macau, China
3.Dept. of Womens and Childrens Health, Karolinska Institute, Stockholm, Sweden
Recommended Citation
GB/T 7714
Ruihao Bian,Zichong Luo,Xin Huang,et al. Relationship between Passive Stretch Resistance in spastic wrist Flexors and Clinical Scales of Stroke Survivors: A Cross-sectional Study[C]:IEEE, 2019, 136 - 139.
APA Ruihao Bian., Zichong Luo., Xin Huang., Ruoli Wang., Rong Song., Sengfat Wong., & Le Li (2019). Relationship between Passive Stretch Resistance in spastic wrist Flexors and Clinical Scales of Stroke Survivors: A Cross-sectional Study. 2018 3rd International Conference on Advanced Robotics and Mechatronics (ICARM), 136 - 139.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Ruihao Bian]'s Articles
[Zichong Luo]'s Articles
[Xin Huang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Ruihao Bian]'s Articles
[Zichong Luo]'s Articles
[Xin Huang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Ruihao Bian]'s Articles
[Zichong Luo]'s Articles
[Xin Huang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.