Inês Albuquerque Mesquita1, Pedro Filipe Pereira da Fonseca2, Márcio Borgonovo-Santos2, Edgar Ribeiro3, Ana Rita Vieira Pinheiro4, Miguel Velhote Correia5, Cláudia Silva6. 1. Center for Rehabilitation Research (CIR) (CIR), School of Health of Polytechnic of Porto (ESS-P.Porto), Rua Dr. António Bernardino de Almeida, 400, 4200 - 072 Porto, Portugal; Department of Functional Sciences, School of Health of Polytechnic of Porto (ESS-P.Porto), Rua Dr. António Bernardino de Almeida, 400, 4200 - 072 Porto, Portugal. Electronic address: iam@ess.ipp.pt. 2. LABIOMEP: Porto Biomechanics Laboratory, University of Porto. R. Dr. Plácido da Costa, 4200-450 Porto, Portugal. 3. Center for Rehabilitation Research (CIR) (CIR), School of Health of Polytechnic of Porto (ESS-P.Porto), Rua Dr. António Bernardino de Almeida, 400, 4200 - 072 Porto, Portugal. 4. Center for Rehabilitation Research (CIR) (CIR), School of Health of Polytechnic of Porto (ESS-P.Porto), Rua Dr. António Bernardino de Almeida, 400, 4200 - 072 Porto, Portugal; School of Health Sciences, University of Aveiro, Edifício 30, Agras do Crasto - Campus Universitário de Santiago, 3810-193 Aveiro, Portugal. 5. Department of Electrical and Computer Engineering, Faculty of Engineering of the University of Porto (FEUP), R. Dr. Roberto Frias, 4200-465 Porto, Portugal; Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), R. Dr. Roberto Frias, 4200-465 Porto, Portugal. 6. Center for Rehabilitation Research (CIR) (CIR), School of Health of Polytechnic of Porto (ESS-P.Porto), Rua Dr. António Bernardino de Almeida, 400, 4200 - 072 Porto, Portugal; Department of Physiotherapy, School of Health of Polytechnic of Porto (ESS-P.Porto), Rua Dr. António Bernardino de Almeida, 400, 4200 - 072 Porto, Portugal.
Abstract
INTRODUCTION: Recently, kinematic analysis of the drinking task (DRINK) has been recommended to assess the quality of upper limb (UL) movement after stroke, but the accomplishment of this task may become difficult for poststroke patients with hand impairment. Therefore, it is necessary to study ADLs that involve a simpler interaction with a daily life target, such as the turning on a light task (LIGHT). As the knowledge of movement performed by healthy adults becomes essential to assess the quality of movement of poststroke patients, the main goal of this article was to compare the kinematic strategies used by healthy adults in LIGHT with those that are used in DRINK. METHODS: 63 adults, aged 30 to 69 years old, drank water and turned on a light, using both ULs separately, while seated. The movements of both tasks were captured by a 3D motion capture system. End-point and joint kinematics of reaching and returning phases were analysed. A multifactorial analysis of variance with repeated measures was applied to the kinematic metrics, using age, sex, body mass index and dominance as main factors. RESULTS: Mean and peak velocities, index of curvature, shoulder flexion and elbow extension were lower in LIGHT, which suggests that the real hand trajectory was smaller in this task. In LIGHT, reaching was less smooth and returning was smoother than DRINK. The instant of peak velocity was similar in both tasks. There was a minimal anterior trunk displacement in LIGHT, and a greater anterior trunk displacement in DRINK. Age and sex were the main factors which exerted effect on some of the kinematics, especially in LIGHT. CONCLUSION: The different target formats and hand contact in DRINK and LIGHT seem to be responsible for differences in velocity profile, efficiency, smoothness, joint angles and trunk displacement. Results suggest that the real hand trajectory was smaller in LIGHT and that interaction with the switch seems to be less demanding than with the glass. Accordingly, LIGHT could be a good option for the assessment of poststroke patients without grasping ability. Age and sex seem to be the main factors to be considered in future studies for a better match between healthy and poststroke adults.
INTRODUCTION: Recently, kinematic analysis of the drinking task (DRINK) has been recommended to assess the quality of upper limb (UL) movement after stroke, but the accomplishment of this task may become difficult for poststroke patients with hand impairment. Therefore, it is necessary to study ADLs that involve a simpler interaction with a daily life target, such as the turning on a light task (LIGHT). As the knowledge of movement performed by healthy adults becomes essential to assess the quality of movement of poststrokepatients, the main goal of this article was to compare the kinematic strategies used by healthy adults in LIGHT with those that are used in DRINK. METHODS: 63 adults, aged 30 to 69 years old, drank water and turned on a light, using both ULs separately, while seated. The movements of both tasks were captured by a 3D motion capture system. End-point and joint kinematics of reaching and returning phases were analysed. A multifactorial analysis of variance with repeated measures was applied to the kinematic metrics, using age, sex, body mass index and dominance as main factors. RESULTS: Mean and peak velocities, index of curvature, shoulder flexion and elbow extension were lower in LIGHT, which suggests that the real hand trajectory was smaller in this task. In LIGHT, reaching was less smooth and returning was smoother than DRINK. The instant of peak velocity was similar in both tasks. There was a minimal anterior trunk displacement in LIGHT, and a greater anterior trunk displacement in DRINK. Age and sex were the main factors which exerted effect on some of the kinematics, especially in LIGHT. CONCLUSION: The different target formats and hand contact in DRINK and LIGHT seem to be responsible for differences in velocity profile, efficiency, smoothness, joint angles and trunk displacement. Results suggest that the real hand trajectory was smaller in LIGHT and that interaction with the switch seems to be less demanding than with the glass. Accordingly, LIGHT could be a good option for the assessment of poststroke patients without grasping ability. Age and sex seem to be the main factors to be considered in future studies for a better match between healthy and poststroke adults.
Authors: Celia Francisco-Martínez; Juan Prado-Olivarez; José A Padilla-Medina; Javier Díaz-Carmona; Francisco J Pérez-Pinal; Alejandro I Barranco-Gutiérrez; Juan J Martínez-Nolasco Journal: Sensors (Basel) Date: 2021-11-26 Impact factor: 3.576
Authors: M Saes; M I Mohamed Refai; B J F van Beijnum; J B J Bussmann; E P Jansma; P H Veltink; J H Buurke; E E H van Wegen; C G M Meskers; J W Krakauer; G Kwakkel Journal: Neurorehabil Neural Repair Date: 2022-01-31 Impact factor: 3.919