Literature DB >> 25769168

Robot-Aided Neurorehabilitation: A Pediatric Robot for Ankle Rehabilitation.

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

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.

Entities:  

Mesh:

Year:  2015        PMID: 25769168      PMCID: PMC4692803          DOI: 10.1109/TNSRE.2015.2410773

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  51 in total

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Authors:  E Wegman
Journal:  Percept Mot Skills       Date:  1999-02

2.  Robot-assisted adaptive training: custom force fields for teaching movement patterns.

Authors:  James L Patton; Ferdinando A Mussa-Ivaldi
Journal:  IEEE Trans Biomed Eng       Date:  2004-04       Impact factor: 4.538

3.  Pediatric anklebot.

Authors:  Hermano I Krebs; Stefano Rossi; Seung-Jae Kim; Panagiotis K Artemiadis; Dustin Williams; Enrico Castelli; Paolo Cappa
Journal:  IEEE Int Conf Rehabil Robot       Date:  2011

4.  The mysterious motor function of the basal ganglia: the Robert Wartenberg Lecture.

Authors:  C D Marsden
Journal:  Neurology       Date:  1982-05       Impact factor: 9.910

5.  Ankle spasticity and strength in children with spastic diplegic cerebral palsy.

Authors:  J R Engsberg; S A Ross; K S Olree; T S Park
Journal:  Dev Med Child Neurol       Date:  2000-01       Impact factor: 5.449

Review 6.  Effects of robot-assisted therapy on upper limb recovery after stroke: a systematic review.

Authors:  Gert Kwakkel; Boudewijn J Kollen; Hermano I Krebs
Journal:  Neurorehabil Neural Repair       Date:  2007-09-17       Impact factor: 3.919

7.  A comparative study of simple and choice reaction time in Parkinson's, Huntington's and cerebellar disease.

Authors:  M Jahanshahi; R G Brown; C D Marsden
Journal:  J Neurol Neurosurg Psychiatry       Date:  1993-11       Impact factor: 10.154

Review 8.  Common gait abnormalities of the knee in cerebral palsy.

Authors:  D H Sutherland; J R Davids
Journal:  Clin Orthop Relat Res       Date:  1993-03       Impact factor: 4.176

9.  Pointing with the ankle: the speed-accuracy trade-off.

Authors:  Konstantinos P Michmizos; Hermano Igo Krebs
Journal:  Exp Brain Res       Date:  2013-11-23       Impact factor: 1.972

10.  Brain network involved in visual processing of movement stimuli used in upper limb robotic training: an fMRI study.

Authors:  Federico Nocchi; Simone Gazzellini; Carmela Grisolia; Maurizio Petrarca; Vittorio Cannatà; Paolo Cappa; Tommaso D'Alessio; Enrico Castelli
Journal:  J Neuroeng Rehabil       Date:  2012-07-24       Impact factor: 4.262

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  10 in total

1.  The Application of Internet of Things in Robot Route Planning Based on Multisource Information Fusion.

Authors:  Yunfeng Yao; Na He; Min Zhang
Journal:  Comput Intell Neurosci       Date:  2022-06-17

2.  Spasticity Measurement Based on Tonic Stretch Reflex Threshold in Children with Cerebral Palsy Using the PediAnklebot.

Authors:  Marco Germanotta; Juri Taborri; Stefano Rossi; Flaminia Frascarelli; Eduardo Palermo; Paolo Cappa; Enrico Castelli; Maurizio Petrarca
Journal:  Front Hum Neurosci       Date:  2017-05-29       Impact factor: 3.169

3.  Treadmill Training with HAL Exoskeleton-A Novel Approach for Symptomatic Therapy in Patients with Limb-Girdle Muscular Dystrophy-Preliminary Study.

Authors:  Matthias Sczesny-Kaiser; Rebecca Kowalewski; Thomas A Schildhauer; Mirko Aach; Oliver Jansen; Dennis Grasmücke; Anne-Katrin Güttsches; Matthias Vorgerd; Martin Tegenthoff
Journal:  Front Neurosci       Date:  2017-08-08       Impact factor: 4.677

4.  Reviewing Clinical Effectiveness of Active Training Strategies of Platform-Based Ankle Rehabilitation Robots.

Authors:  Xiangfeng Zeng; Guoli Zhu; Mingming Zhang; Sheng Q Xie
Journal:  J Healthc Eng       Date:  2018-02-20       Impact factor: 2.682

5.  Using an ankle robotic device for motor performance and motor learning evaluation.

Authors:  Francesca Martelli; Eduardo Palermo; Zaccaria Del Prete; Stefano Rossi
Journal:  Heliyon       Date:  2020-01-24

Review 6.  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

7.  A Feasibility Study of SSVEP-Based Passive Training on an Ankle Rehabilitation Robot.

Authors:  Xiangfeng Zeng; Guoli Zhu; Lan Yue; Mingming Zhang; Shane Xie
Journal:  J Healthc Eng       Date:  2017-09-17       Impact factor: 2.682

8.  In Memoriam: Paolo Cappa.

Authors:  Eduardo Palermo; Stefano Rossi; Fabrizio Patanè; Jeffrey Laut; Maurizio Porfiri
Journal:  Sensors (Basel)       Date:  2017-11-18       Impact factor: 3.576

9.  Passive Exercise Adaptation for Ankle Rehabilitation Based on Learning Control Framework.

Authors:  Fares J Abu-Dakka; Angel Valera; Juan A Escalera; Mohamed Abderrahim; Alvaro Page; Vicente Mata
Journal:  Sensors (Basel)       Date:  2020-10-31       Impact factor: 3.576

10.  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

  10 in total

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