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Methodological considerations for kinematic analysis of upper limbs in healthy and poststroke adults Part II: a systematic review of motion capture systems and kinematic metrics
Authors:Inês Albuquerque Mesquita  Pedro Filipe Pereira da Fonseca  Ana Rita Vieira Pinheiro  Miguel Fernando Paiva Velhote Correia  Cláudia Isabel Costa da Silva
Institution:1. Department of Functional Sciences and Center for Rehabilitation Research (CIR), School of Health of Polytechnic Institute of Porto (ESS-P.Porto), Porto, PortugalORCID Iconhttps://orcid.org/0000-0001-9659-7531;2. LABIOMEP: Porto Biomechanics Laboratory, University of Porto, Porto, PortugalORCID Iconhttps://orcid.org/0000-0002-4885-4924;3. School of Health Sciences, University of Aveiro, Aveiro, Portugal;4. Department of Physiotherapy and Center for Rehabilitation Research (CIR), School of Health of Polytechnic Institute of Porto (ESS-P.Porto), Porto, PortugalORCID Iconhttps://orcid.org/0000-0003-4310-7652;5. Department of Electrical and Computer Engineering, Faculty of Engineering of the University of Porto (FEUP), Porto, Portugal;6. Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, PortugalORCID Iconhttps://orcid.org/0000-0001-6065-9358;7. Department of Physiotherapy and Center for Rehabilitation Research (CIR), School of Health of Polytechnic Institute of Porto (ESS-P.Porto), Porto, PortugalORCID Iconhttps://orcid.org/0000-0002-1484-1893
Abstract:Background and purpose: To review the methods used to analyze the kinematics of upper limbs (ULs) of healthy and poststroke adults, namely the motion capture systems and kinematic metrics.

Summary of review: A database of articles published in the last decade was compiled using the following search terms combinations: (“upper extremity” OR “upper limb” OR arm) AND (kinematic OR motion OR movement) AND (analysis OR assessment OR measurement). The articles included in this review: (1) had the purpose to analyze objectively three-dimension kinematics of ULs, (2) studied functional movements or activities of daily living involving ULs, and (3) studied healthy and/or poststroke adults. Fourteen articles were included (four studied a healthy sample, three analyzed poststroke patients, and seven examined both poststroke and healthy participants).

Conclusion: Most articles used optoelectronic systems with markers; however, the presentation of laboratory and task-specific errors is missing. Markerless systems, used in some studies, seem to be promising alternatives for implementation of kinematic analysis in hospitals and clinics, but the literature proving their validity is scarce. Most articles analyzed “joint kinematics” and “end-point kinematics,” mainly related with reaching. The different stroke locations of the samples were not considered in their analysis and only three articles described their psychometric properties.

Implication of key findings: Future research should validate portable motion capture systems, document their specific error at the acquisition place and for the studied task, include grasping and manipulation analysis, and describe psychometric properties.

Keywords:Upper extremity  kinematic assessment  stroke  optoelectronic systems  markerless systems  joint kinematics  end-point kinematics
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