Robot-Aided Neurorehabilitation: A Pediatric Robot for Ankle Rehabilitation

Konstantinos P. Michmizos, Stefano Rossi, Enrico Castelli, Paolo Cappa, Hermano Igo Krebs

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents the pediAnklebot, an impedance-controlled low-friction, backdriveable robotic device developed at the Massachusetts Institute of Technology that trains the ankle of neurologically impaired children of ages 6-10 years old. The design attempts to overcome the known limitations of the lower extremity robotics and the unknown difficulties of what constitutes an appropriate therapeutic interaction with children. The robot's pilot clinical evaluation is on-going and it incorporates our recent findings on the ankle sensorimotor control in neurologically intact subjects, namely the speed-accuracy tradeoff, the deviation from an ideally smooth ankle trajectory, and the reaction time. We used these concepts to develop the kinematic and kinetic performance metrics that guided the ankle therapy in a similar fashion that we have done for our upper extremity devices. Here we report on the use of the device in at least nine training sessions for three neurologically impaired children. Results demonstrated a statistically significant improvement in the performance metrics assessing explicit and implicit motor learning. Based on these initial results, we are confident that the device will become an effective tool that harnesses plasticity to guide habilitation during childhood.

Original languageEnglish
Article number7055918
Pages (from-to)1056-1067
Number of pages12
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume23
Issue number6
DOIs
Publication statusPublished - Nov 1 2015

Keywords

  • Accuracy
  • Games
  • Impedance
  • Pediatrics
  • Robot sensing systems

ASJC Scopus subject areas

  • Neuroscience(all)
  • Computer Science Applications
  • Biomedical Engineering

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