Literature DB >> 27170850

Effects of the Alternate Combination of "Error-Enhancing" and "Active Assistive" Robot-Mediated Treatments on Stroke Patients.

Peppino Tropea1, Benedetta Cesqui2, Vito Monaco1, Sara Aliboni3, Federico Posteraro4, Silvestro Micera5.   

Abstract

This paper aimed at investigating the effects of a novel robotic-aided rehabilitation treatment for the recovery of the upper limb related capabilities in chronic post stroke patients. Eighteen post-stroke patients were enrolled in a six-week therapy program and divided into two groups. They were all required to perform horizontal pointing movements both in the presence of a robot-generated divergent force field (DF) that pushed their hands proportional to the trajectory error and perpendicular to the direction of motion, and according to the typical active assistive (AA) approach used in robotic therapy. We used a crossover experimental paradigm where the two groups switched from one therapy treatment to the other. The hypothesis underlying this paper was that the use of the destabilizing scenario forced the patient to keep the end-point position as close as possible to the ideal path, hence requiring a more active control of the arm with respect to the AA approach. Our findings confirmed this hypothesis. In addition, when the DF treatment was provided in the first therapy cycle, patients also showed straighter and smoother paths during the subsequent AA therapy cycle, while this was not true in the opposite case. In conclusion, the results herein reported provide evidence that the use of an unstable DF field can lead to better recovery outcomes, and therefore it potentially more effective than solely active assistance therapy alone.

Entities:  

Keywords:  Rehabilitation robotics; assisted-as-needed; error-enhancing; stroke; upper arm

Year:  2013        PMID: 27170850      PMCID: PMC4819227          DOI: 10.1109/JTEHM.2013.2271898

Source DB:  PubMed          Journal:  IEEE J Transl Eng Health Med        ISSN: 2168-2372            Impact factor:   3.316


  48 in total

1.  A novel approach to stroke rehabilitation: robot-aided sensorimotor stimulation.

Authors:  B T Volpe; H I Krebs; N Hogan; L Edelstein OTR; C Diels; M Aisen
Journal:  Neurology       Date:  2000-05-23       Impact factor: 9.910

2.  Adaptation to stable and unstable dynamics achieved by combined impedance control and inverse dynamics model.

Authors:  David W Franklin; Rieko Osu; Etienne Burdet; Mitsuo Kawato; Theodore E Milner
Journal:  J Neurophysiol       Date:  2003-11       Impact factor: 2.714

Review 3.  The impact of physical therapy on functional outcomes after stroke: what's the evidence?

Authors:  R P S Van Peppen; G Kwakkel; S Wood-Dauphinee; H J M Hendriks; Ph J Van der Wees; J Dekker
Journal:  Clin Rehabil       Date:  2004-12       Impact factor: 3.477

Review 4.  Motions or muscles? Some behavioral factors underlying robotic assistance of motor recovery.

Authors:  Neville Hogan; Hermano I Krebs; Brandon Rohrer; Jerome J Palazzolo; Laura Dipietro; Susan E Fasoli; Joel Stein; Richard Hughes; Walter R Frontera; Daniel Lynch; Bruce T Volpe
Journal:  J Rehabil Res Dev       Date:  2006 Aug-Sep

5.  Robot-enhanced motor learning: accelerating internal model formation during locomotion by transient dynamic amplification.

Authors:  Jeremy L Emken; David J Reinkensmeyer
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2005-03       Impact factor: 3.802

Review 6.  Augmented visual, auditory, haptic, and multimodal feedback in motor learning: a review.

Authors:  Roland Sigrist; Georg Rauter; Robert Riener; Peter Wolf
Journal:  Psychon Bull Rev       Date:  2013-02

7.  The coordination of arm movements: an experimentally confirmed mathematical model.

Authors:  T Flash; N Hogan
Journal:  J Neurosci       Date:  1985-07       Impact factor: 6.167

8.  Overview of clinical trials with MIT-MANUS: a robot-aided neuro-rehabilitation facility.

Authors:  H I Krebs; N Hogan; B T Volpe; M L Aisen; L Edelstein; C Diels
Journal:  Technol Health Care       Date:  1999       Impact factor: 1.285

9.  Upper limb spasticity reduction following active training: a robot-mediated study in patients with chronic hemiparesis.

Authors:  Federico Posteraro; Stefano Mazzoleni; Sara Aliboni; Benedetta Cesqui; Alessandro Battaglia; Maria Chiara Carrozza; Paolo Dario; Silvestro Micera
Journal:  J Rehabil Med       Date:  2010-03       Impact factor: 2.912

10.  Measuring physical impairment and disability with the Chedoke-McMaster Stroke Assessment.

Authors:  C Gowland; P Stratford; M Ward; J Moreland; W Torresin; S Van Hullenaar; J Sanford; S Barreca; B Vanspall; N Plews
Journal:  Stroke       Date:  1993-01       Impact factor: 7.914

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  4 in total

Review 1.  Electromechanical and robot-assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke.

Authors:  Jan Mehrholz; Marcus Pohl; Thomas Platz; Joachim Kugler; Bernhard Elsner
Journal:  Cochrane Database Syst Rev       Date:  2018-09-03

2.  The effects of error-augmentation versus error-reduction paradigms in robotic therapy to enhance upper extremity performance and recovery post-stroke: a systematic review.

Authors:  Le Yu Liu; Youlin Li; Anouk Lamontagne
Journal:  J Neuroeng Rehabil       Date:  2018-07-04       Impact factor: 4.262

3.  A unified scheme for the benchmarking of upper limb functions in neurological disorders.

Authors:  Valeria Longatelli; Diego Torricelli; Jesús Tornero; Alessandra Pedrocchi; Franco Molteni; José L Pons; Marta Gandolla
Journal:  J Neuroeng Rehabil       Date:  2022-09-27       Impact factor: 5.208

Review 4.  Electromechanical and robot-assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke.

Authors:  Jan Mehrholz; Marcus Pohl; Thomas Platz; Joachim Kugler; Bernhard Elsner
Journal:  Cochrane Database Syst Rev       Date:  2015-11-07
  4 in total

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