Literature DB >> 28505989

Pediatric robotic rehabilitation: Current knowledge and future trends in treating children with sensorimotor impairments.

Konstantinos P Michmizos1, Hermano Igo Krebs2.   

Abstract

BACKGROUND: Robot-aided sensorimotor therapy imposes highly repetitive tasks that can translate to substantial improvement when patients remain cognitively engaged into the clinical procedure, a goal that most children find hard to pursue. Knowing that the child's brain is much more plastic than an adult's, it is reasonable to expect that the clinical gains observed in the adult population during the last two decades would be followed up by even greater gains in children. Nonetheless, and despite the multitude of adult studies, in children we are just getting started: There is scarcity of pediatric robotic rehabilitation devices that are currently available and the number of clinical studies that employ them is also very limited.
PURPOSE: We have recently developed the MIT's pedi-Anklebot, an adaptive habilitation robotic device that continuously motivates physically impaired children to do their best by tracking the child's performance and modifying their therapy accordingly. The robot's design is based on a multitude of studies we conducted focusing on the ankle sensorimotor control. In this paper, we briefly describe the device and the adaptive environment we built around the impaired children, present the initial clinical results and discuss how they could steer future trends in pediatric robotic therapy.
CONCLUSIONS: The results support the potential for future interventions to account for the differences in the sensorimotor control of the targeted limbs and their functional use (rhythmic vs. discrete movements and mechanical impedance training) and explore how the new technological advancements such as the augmented reality would employ new knowledge from neuroscience.

Entities:  

Keywords:  Rehabilitation robotics; adaptive robotic therapy; cerebral palsy; pediatric; robot-aided neurorehabilitation; robot-aided therapy

Mesh:

Year:  2017        PMID: 28505989     DOI: 10.3233/NRE-171458

Source DB:  PubMed          Journal:  NeuroRehabilitation        ISSN: 1053-8135            Impact factor:   2.138


  5 in total

1.  PedBotHome: A Video Game-Based Robotic Ankle Device Created for Home Exercise in Children With Neurological Impairments.

Authors:  Catherine Coley; Staci Kovelman; Justine Belschner; Kevin Cleary; Manon Schladen; Sarah Helen Evans; Tyler Salvador; Reza Monfaredi; Hadi Fooladi Talari; Jacob Slagle; Md Sohel Rana
Journal:  Pediatr Phys Ther       Date:  2022-04-01       Impact factor: 1.452

2.  Usability evaluation of an interactive leg press training robot for children with neuromuscular impairments.

Authors:  Farouk Chrif; Hubertus J A van Hedel; Mauro Vivian; Tobias Nef; Kenneth J Hunt
Journal:  Technol Health Care       Date:  2022       Impact factor: 1.205

3.  Robotic Technology in Pediatric Neurorehabilitation. A Pilot Study of Human Factors in an Italian Pediatric Hospital.

Authors:  Francesco Gilardi; Federica De Falco; Daniela Casasanta; Martina Andellini; Simone Gazzellini; Maurizio Petrarca; Andreina Morocutti; Donatella Lettori; Matteo Ritrovato; Enrico Castelli; Massimiliano Raponi; Nicola Magnavita; Salvatore Zaffina
Journal:  Int J Environ Res Public Health       Date:  2020-05-17       Impact factor: 3.390

Review 4.  Robotic devices for paediatric rehabilitation: a review of design features.

Authors:  Alberto Gonzalez; Lorenzo Garcia; Jeff Kilby; Peter McNair
Journal:  Biomed Eng Online       Date:  2021-09-06       Impact factor: 2.819

5.  A neurophysiologically interpretable deep neural network predicts complex movement components from brain activity.

Authors:  Neelesh Kumar; Konstantinos P Michmizos
Journal:  Sci Rep       Date:  2022-01-20       Impact factor: 4.379

  5 in total

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