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May 16, 2026IEEE Transactions on Neural Systems and Rehabilitation Engineering0 citationsOpen Access

Robotic exoskeleton-guided wrist motion assessment in young and older adults

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MGManuela Gómez-CorreaHRHellen Rivero-PinedaESEstefania Suarez-Perez

Key Points

  • This research aims to assess wrist motion differences in young adults and older adults using a robotic rehabilitation device.
  • Collected kinematic and surface electromyographic data from 20 participants.
  • Utilized an upper limb rehabilitation robot to execute standardized wrist movements.
  • Estimated compensatory movements, reaction times, range of movement, and movement smoothness.
  • Older adults exhibited 15.5% more compensatory movements compared to young adults.
  • Older adults had an average increment of 37 ms in reaction times.
  • Velocity curves indicated more frequency components in older adults, while young adults showed smoother movements.

Abstract

This paper describes motion assessment in young adults (YA) and older adults (OA) during the use of an upper limb rehabilitation robot (ULRR). An experimental protocol was proposed to collect kinematic and surface electromyographic (sEMG) data from 20 participants. The protocol included the use of the ULRR along with an interface to execute standardized wrist movements randomly (flexion, extension, radial deviation, and ulnar deviation) at fixed intervals. For the sEMG, representative features were computed, and for the kinematic data, compensatory movements, reaction times, range of movement, and smoothness of movement were estimated. The results showed significant differences in the calculated metrics between YA and OA. The OA group reported 15.5% more compensatory movements and an average of 37 ms increment compared with YA times. Finally, the velocity curves showed more frequency components in OA, which, along with the estimation of the Spectral Arc Length, indicated a smoother movement in the YA group. These outputs can be used to create personalized therapies or to develop a methodology for assessing robotic rehabilitation.

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Cite This Study

Gómez-Correa et al. (2026) studied this question.

synapsesocial.com/papers/6a080ae2a487c87a6a40ced7https://doi.org/10.1109/tnsre.2026.3693130
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