Robotic assessment of the influence of age on upper-limb sensorimotor function

Clin Interv Aging. 2013:8:879-88. doi: 10.2147/CIA.S45900. Epub 2013 Jul 10.

Abstract

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; rehabilitation; robotics; sensorimotor function.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Female
  • Hand Strength / physiology*
  • Humans
  • Male
  • Middle Aged
  • Robotics*
  • Statistics, Nonparametric
  • Upper Extremity / physiology*