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Technology-assisted assessment of spasticity: a systematic review.
Guo, Xinliang; Wallace, Rebecca; Tan, Ying; Oetomo, Denny; Klaic, Marlena; Crocher, Vincent.
Affiliation
  • Guo X; UoM and Fourier Intelligence Joint Robotics Laboratory, Mechanical Engineering Department, The University of Melbourne, Melbourne, Australia.
  • Wallace R; Allied Health Department, The Royal Melbourne Hospital, Melbourne, Australia.
  • Tan Y; UoM and Fourier Intelligence Joint Robotics Laboratory, Mechanical Engineering Department, The University of Melbourne, Melbourne, Australia.
  • Oetomo D; UoM and Fourier Intelligence Joint Robotics Laboratory, Mechanical Engineering Department, The University of Melbourne, Melbourne, Australia.
  • Klaic M; School of Health Sciences, The University of Melbourne, Melbourne, Australia.
  • Crocher V; UoM and Fourier Intelligence Joint Robotics Laboratory, Mechanical Engineering Department, The University of Melbourne, Melbourne, Australia. vcrocher@unimelb.edu.au.
J Neuroeng Rehabil ; 19(1): 138, 2022 12 09.
Article in En | MEDLINE | ID: mdl-36494721
BACKGROUND: Spasticity is defined as "a motor disorder characterised by a velocity dependent increase in tonic stretch reflexes (muscle tone) with exaggerated tendon jerks". It is a highly prevalent condition following stroke and other neurological conditions. Clinical assessment of spasticity relies predominantly on manual, non-instrumented, clinical scales. Technology based solutions have been developed in the last decades to offer more specific, sensitive and accurate alternatives but no consensus exists on these different approaches. METHOD: A systematic review of literature of technology-based methods aiming at the assessment of spasticity was performed. The approaches taken in the studies were classified based on the method used as well as their outcome measures. The psychometric properties and usability of the methods and outcome measures reported were evaluated. RESULTS: 124 studies were included in the analysis. 78 different outcome measures were identified, among which seven were used in more than 10 different studies each. The different methods rely on a wide range of different equipment (from robotic systems to simple goniometers) affecting their cost and usability. Studies equivalently applied to the lower and upper limbs (48% and 52%, respectively). A majority of studies applied to a stroke population (N = 79). More than half the papers did not report thoroughly the psychometric properties of the measures. Analysis identified that only 54 studies used measures specific to spasticity. Repeatability and discriminant validity were found to be of good quality in respectively 25 and 42 studies but were most often not evaluated (N = 95 and N = 78). Clinical validity was commonly assessed only against clinical scales (N = 33). Sensitivity of the measure was assessed in only three studies. CONCLUSION: The development of a large diversity of assessment approaches appears to be done at the expense of their careful evaluation. Still, among the well validated approaches, the ones based on manual stretching and measuring a muscle activity reaction and the ones leveraging controlled stretches while isolating the stretch-reflex torque component appear as the two promising practical alternatives to clinical scales. These methods should be further evaluated, including on their sensitivity, to fully inform on their potential.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Stroke / Stroke Rehabilitation Type of study: Diagnostic_studies / Guideline / Prognostic_studies / Systematic_reviews Limits: Humans Language: En Journal: J Neuroeng Rehabil Journal subject: ENGENHARIA BIOMEDICA / NEUROLOGIA / REABILITACAO Year: 2022 Document type: Article Affiliation country: Australia Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Stroke / Stroke Rehabilitation Type of study: Diagnostic_studies / Guideline / Prognostic_studies / Systematic_reviews Limits: Humans Language: En Journal: J Neuroeng Rehabil Journal subject: ENGENHARIA BIOMEDICA / NEUROLOGIA / REABILITACAO Year: 2022 Document type: Article Affiliation country: Australia Country of publication: United kingdom