Robotic assessment of the influence of age on upper-limb sensorimotor function
Ana LLinares, Francisco Javier Badesa, Ricardo Morales, Nicolas Garcia-Aracil, JM Sabater, Eduardo Fernandez Biomedical Neuroengineering, Universidad Miguel Hernández de Elche, Elche, Spain Purpose: This paper examines the influence of age on several attributes of sensorimotor performanc...
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Dove Medical Press
2013
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oai:doaj.org-article:05baa7e3c1c14e438876f0ecf3d6bc152021-12-02T00:51:16ZRobotic assessment of the influence of age on upper-limb sensorimotor function1178-1998https://doaj.org/article/05baa7e3c1c14e438876f0ecf3d6bc152013-07-01T00:00:00Zhttps://www.dovepress.com/robotic-assessment-of-the-influence-of-age-on-upper-limb-sensorimotor--peer-reviewed-article-CIAhttps://doaj.org/toc/1178-1998Ana LLinares, Francisco Javier Badesa, Ricardo Morales, Nicolas Garcia-Aracil, JM Sabater, Eduardo Fernandez Biomedical Neuroengineering, Universidad Miguel Hernández de Elche, Elche, Spain Purpose: This paper examines the influence of age on several attributes of sensorimotor performance while performing a reaching task. Our hypothesis, based on previous studies, is that aged persons will show differences in one or more of the attributes of sensorimotor performance. Patients and methods: Fifty-one subjects (aged 20–80 years) with no known neuromotor disorders of the upper limbs participated in the study. Subjects were asked to grasp the end-effector of a pneumatic robotic device with two degrees of freedom in order to reach peripheral targets (1.0 cm radius), "quickly and accurately", from a centrally located target (1.0 cm radius). Subjects began each trial by holding the hand within the central target for 2000 milliseconds. Afterwards, a peripheral target was illuminated. Then participants were given 3000 milliseconds to complete the movement. When a target was reached, the participant had to return to the central target in order to start a new trial. A total of 64 trials were completed and each peripheral target was illuminated in a random block design. Results: Subjects were divided into three groups according to age: group 1 (age 20–40 years), group 2 (age 41–60 years), and group 3 (age 61–80 years). The Kruskal–Wallis test showed significant differences (P < 0.05) between groups, except for the variables postural speed in the dominant arm, and postural speed and initial deviation in the non-dominant arm (P > 0.05). These results suggest that age introduces significant differences in upper-limb motor function. Conclusion: Our findings show that there are objective differences in sensorimotor function due to age, and that these differences are greater for the dominant arm. Therefore for the assessment of upper-limb function, we should take into account the influence of age. Moreover, these results suggest that robotic systems can provide a new and effective approach in the assessment of sensorimotor function. Keywords: aging, sensorimotor function, robotics, rehabilitationLLinares ABadesa FJMorales RGarcia-Aracil NSabater JMFernandez EDove Medical Pressarticleagingsensorimotor functionroboticsrehabilitationGeriatricsRC952-954.6ENClinical Interventions in Aging, Vol Volume 8, Pp 879-888 (2013) |
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aging sensorimotor function robotics rehabilitation Geriatrics RC952-954.6 |
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aging sensorimotor function robotics rehabilitation Geriatrics RC952-954.6 LLinares A Badesa FJ Morales R Garcia-Aracil N Sabater JM Fernandez E Robotic assessment of the influence of age on upper-limb sensorimotor function |
description |
Ana LLinares, Francisco Javier Badesa, Ricardo Morales, Nicolas Garcia-Aracil, JM Sabater, Eduardo Fernandez Biomedical Neuroengineering, Universidad Miguel Hernández de Elche, Elche, Spain Purpose: This paper examines the influence of age on several attributes of sensorimotor performance while performing a reaching task. Our hypothesis, based on previous studies, is that aged persons will show differences in one or more of the attributes of sensorimotor performance. Patients and methods: Fifty-one subjects (aged 20–80 years) with no known neuromotor disorders of the upper limbs participated in the study. Subjects were asked to grasp the end-effector of a pneumatic robotic device with two degrees of freedom in order to reach peripheral targets (1.0 cm radius), "quickly and accurately", from a centrally located target (1.0 cm radius). Subjects began each trial by holding the hand within the central target for 2000 milliseconds. Afterwards, a peripheral target was illuminated. Then participants were given 3000 milliseconds to complete the movement. When a target was reached, the participant had to return to the central target in order to start a new trial. A total of 64 trials were completed and each peripheral target was illuminated in a random block design. Results: Subjects were divided into three groups according to age: group 1 (age 20–40 years), group 2 (age 41–60 years), and group 3 (age 61–80 years). The Kruskal–Wallis test showed significant differences (P < 0.05) between groups, except for the variables postural speed in the dominant arm, and postural speed and initial deviation in the non-dominant arm (P > 0.05). These results suggest that age introduces significant differences in upper-limb motor function. Conclusion: Our findings show that there are objective differences in sensorimotor function due to age, and that these differences are greater for the dominant arm. Therefore for the assessment of upper-limb function, we should take into account the influence of age. Moreover, these results suggest that robotic systems can provide a new and effective approach in the assessment of sensorimotor function. Keywords: aging, sensorimotor function, robotics, rehabilitation |
format |
article |
author |
LLinares A Badesa FJ Morales R Garcia-Aracil N Sabater JM Fernandez E |
author_facet |
LLinares A Badesa FJ Morales R Garcia-Aracil N Sabater JM Fernandez E |
author_sort |
LLinares A |
title |
Robotic assessment of the influence of age on upper-limb sensorimotor function |
title_short |
Robotic assessment of the influence of age on upper-limb sensorimotor function |
title_full |
Robotic assessment of the influence of age on upper-limb sensorimotor function |
title_fullStr |
Robotic assessment of the influence of age on upper-limb sensorimotor function |
title_full_unstemmed |
Robotic assessment of the influence of age on upper-limb sensorimotor function |
title_sort |
robotic assessment of the influence of age on upper-limb sensorimotor function |
publisher |
Dove Medical Press |
publishDate |
2013 |
url |
https://doaj.org/article/05baa7e3c1c14e438876f0ecf3d6bc15 |
work_keys_str_mv |
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