Your browser doesn't support javascript.
loading
Smoothness metrics for reaching performance after stroke. Part 1: which one to choose?
Mohamed Refai, Mohamed Irfan; Saes, Mique; Scheltinga, Bouke L; van Kordelaar, Joost; Bussmann, Johannes B J; Veltink, Peter H; Buurke, Jaap H; Meskers, Carel G M; van Wegen, Erwin E H; Kwakkel, Gert; van Beijnum, Bert-Jan F.
Afiliação
  • Mohamed Refai MI; Department of Biomedical Signals and Systems, Technical Medical Centre, University of Twente, Enschede, The Netherlands.
  • Saes M; Department of Rehabilitation Medicine, Amsterdam Movement Sciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1117, Amsterdam, The Netherlands.
  • Scheltinga BL; Department of Biomedical Signals and Systems, Technical Medical Centre, University of Twente, Enschede, The Netherlands.
  • van Kordelaar J; Department of Rehabilitation Medicine, Amsterdam Movement Sciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1117, Amsterdam, The Netherlands.
  • Bussmann JBJ; Department of Rehabilitation Medicine, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands.
  • Veltink PH; Department of Biomedical Signals and Systems, Technical Medical Centre, University of Twente, Enschede, The Netherlands.
  • Buurke JH; Department of Biomedical Signals and Systems, Technical Medical Centre, University of Twente, Enschede, The Netherlands.
  • Meskers CGM; Rehabilitation Technology, Roessingh Research and Development, Enschede, The Netherlands.
  • van Wegen EEH; Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Il, USA.
  • Kwakkel G; Department of Rehabilitation Medicine, Amsterdam Movement Sciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1117, Amsterdam, The Netherlands.
  • van Beijnum BF; Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Il, USA.
J Neuroeng Rehabil ; 18(1): 154, 2021 Oct 26.
Article em En | MEDLINE | ID: mdl-34702281
BACKGROUND: Smoothness is commonly used for measuring movement quality of the upper paretic limb during reaching tasks after stroke. Many different smoothness metrics have been used in stroke research, but a 'valid' metric has not been identified. A systematic review and subsequent rigorous analysis of smoothness metrics used in stroke research, in terms of their mathematical definitions and response to simulated perturbations, is needed to conclude whether they are valid for measuring smoothness. Our objective was to provide a recommendation for metrics that reflect smoothness after stroke based on: (1) a systematic review of smoothness metrics for reaching used in stroke research, (2) the mathematical description of the metrics, and (3) the response of metrics to simulated changes associated with smoothness deficits in the reaching profile. METHODS: The systematic review was performed by screening electronic databases using combined keyword groups Stroke, Reaching and Smoothness. Subsequently, each metric identified was assessed with mathematical criteria regarding smoothness: (a) being dimensionless, (b) being reproducible, (c) being based on rate of change of position, and (d) not being a linear transform of other smoothness metrics. The resulting metrics were tested for their response to simulated changes in reaching using models of velocity profiles with varying reaching distances and durations, harmonic disturbances, noise, and sub-movements. Two reaching tasks were simulated; reach-to-point and reach-to-grasp. The metrics that responded as expected in all simulation analyses were considered to be valid. RESULTS: The systematic review identified 32 different smoothness metrics, 17 of which were excluded based on mathematical criteria, and 13 more as they did not respond as expected in all simulation analyses. Eventually, we found that, for reach-to-point and reach-to-grasp movements, only Spectral Arc Length (SPARC) was found to be a valid metric. CONCLUSIONS: Based on this systematic review and simulation analyses, we recommend the use of SPARC as a valid smoothness metric in both reach-to-point and reach-to-grasp tasks of the upper limb after stroke. However, further research is needed to understand the time course of smoothness measured with SPARC for the upper limb early post stroke, preferably in longitudinal studies.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Acidente Vascular Cerebral / Reabilitação do Acidente Vascular Cerebral Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Acidente Vascular Cerebral / Reabilitação do Acidente Vascular Cerebral Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article