Comparison of upper limb kinematics in two activities of daily living with different handling requirements |
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| Affiliation: | 1. Department of Physical Therapy, Federal University of São Carlos, Rodovia Washington Luís, São Carlos, Brazil;2. Division of Physical Therapy, School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, USA;3. Department of Human Movement Sciences, Federal University of São Paulo, Edifício Central - R. Silva Jardim, 136, Vila Matias, Santos, Brazil;1. Neural and Cognitive Engineering Group, Centro de Automática y Robótica, Spanish National Research Council (CSIC), 28500 Arganda del Rey, Spain;2. Division PMA, Department of Mechanical Engineering, Katholieke Universiteit Leuven, Belgium;3. Department of Biomedical Kinesiology, Katholieke Universiteit Leuven, Belgium;4. Experimental Sciences Faculty, Francisco de Vitoria University, Madrid, Spain;5. Department of Neurology, University Hospital 12 de Octubre, Madrid, Spain;6. Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Spain;7. Department of Medicine, Complutense University, Madrid, Spain;8. Postgraduate Program, Universidade Federal do Espírito Santo, Vitória, Brazil |
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| Abstract: | IntroductionRecently, 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.Methods63 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.ResultsMean 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.ConclusionThe 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. |
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