In the 14 years since this came out were your doctors and hospital motivated to plan a clinical trial? NO? Then you don't have a functioning stroke doctor or hospital! Run away!
Performance adaptive training control strategy for recovering wrist movements in stroke patients: a preliminary, feasibility study
2009, Journal of NeuroEngineering and Rehabilitation
Research
Performance adaptive training control strategy for recovering wrist movements in stroke patients:a preliminary, feasibility study
Lorenzo Masia*
1
, Maura Casadio
2
, Psiche Giannoni
3
, Giulio Sandini
1,2
and Pietro Morasso
2
Addresses:
1
Robotics Brain and Cognitive Science Dept, Italian Institute of Technology (IIT), Genoa, Italy,
2
Dept of Informatics, Systems and Telematics, University of Genova, Italy and
3
ART Rehabilitation and Educational Center srl, Genoa, Italy E-mail: Lorenzo Masia* - lorenzo.masia@iit.it ; Maura Casadio - maura.casadio@dist.unige.it ; Psiche Giannoni - psichegi@tin.it ; Giulio Sandini - giulio.sandini@iit.it ; Pietro Morasso - pietro.morasso@unige.it *Corresponding author
Published: 7 December 2009 Received: 24 March 2009
Journal of NeuroEngineering and Rehabilitation
2009,
6
:44 doi: 10.1186/1743-0003-6-44 Accepted: 7 December 2009This article is available from: http://www.jneuroengrehab.com/content/6/1/44
©
2009 Masia et al; licensee BioMed Central Ltd.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0),which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
In the last two decades robot training in neuromotor rehabilitation was mainlyfocused on shoulder-elbow movements. Few devices were designed and clinically tested for training coordinated movements of the wrist, which are crucial for achieving even the basic level of motor competence that is necessary for carrying out ADLs (activities of daily life). Moreover, most systems of robot therapy use point-to-point reaching movements which tend to emphasize the pathological tendency of stroke patients to break down goal-directed movements into a number of jerky sub-movements. For this reason we designed a wrist robot with a range of motion comparable to that of normal subjects and implemented a self-adapting training protocol for tracking smoothly moving targets in order to facilitate the emergence of smoothness in the motor control patterns and maximize the recovery of the normal RoM (range of motion) of the different DoFs (degrees of Freedom).
Methods:
The IIT-wrist robot is a 3 DoFs light exoskeleton device, with direct-drive of each DoF and a human-like range of motion for Flexion/Extension (FE), Abduction/Adduction (AA) and Pronation/Supination (PS). Subjects were asked to track a variable-frequency oscillating target using only one wrist DoF at time, in such a way to carry out a progressive splinting therapy. The RoM of each DoF was angularly scanned in a staircase-like fashion, from the “easier” to the “more difficult” angular position. An Adaptive Controller evaluated online performance parameters and modulated both the assistance and the difficulty of the task in order to facilitate smoother and more precise motor command patterns.
Results:
Three stroke subjects volunteered to participate in a preliminary test session aimed at verify the acceptability of the device and the feasibility of the designed protocol. All of them were able to perform the required task. The wrist active RoM of motion was evaluated for each patient at the beginning and at the end of the test therapy session and the results suggest a positive trend.
Conclusion:
The positive outcomes of the preliminary tests motivate the planning of a clinical trial and provide experimental evidence for defining appropriate inclusion/exclusion criteria.
Performance adaptive training control strategy for recovering wrist movements in stroke patients:a preliminary, feasibility study
Lorenzo Masia*
1
, Maura Casadio
2
, Psiche Giannoni
3
, Giulio Sandini
1,2
and Pietro Morasso
2
Addresses:
1
Robotics Brain and Cognitive Science Dept, Italian Institute of Technology (IIT), Genoa, Italy,
2
Dept of Informatics, Systems and Telematics, University of Genova, Italy and
3
ART Rehabilitation and Educational Center srl, Genoa, Italy E-mail: Lorenzo Masia* - lorenzo.masia@iit.it ; Maura Casadio - maura.casadio@dist.unige.it ; Psiche Giannoni - psichegi@tin.it ; Giulio Sandini - giulio.sandini@iit.it ; Pietro Morasso - pietro.morasso@unige.it *Corresponding author
Published: 7 December 2009 Received: 24 March 2009
Journal of NeuroEngineering and Rehabilitation
2009,
6
:44 doi: 10.1186/1743-0003-6-44 Accepted: 7 December 2009This article is available from: http://www.jneuroengrehab.com/content/6/1/44
©
2009 Masia et al; licensee BioMed Central Ltd.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0),which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Background:In the last two decades robot training in neuromotor rehabilitation was mainlyfocused on shoulder-elbow movements. Few devices were designed and clinically tested for training coordinated movements of the wrist, which are crucial for achieving even the basic level of motor competence that is necessary for carrying out ADLs (activities of daily life). Moreover, most systems of robot therapy use point-to-point reaching movements which tend to emphasize the pathological tendency of stroke patients to break down goal-directed movements into a number of jerky sub-movements. For this reason we designed a wrist robot with a range of motion comparable to that of normal subjects and implemented a self-adapting training protocol for tracking smoothly moving targets in order to facilitate the emergence of smoothness in the motor control patterns and maximize the recovery of the normal RoM (range of motion) of the different DoFs (degrees of Freedom).
Methods:
The IIT-wrist robot is a 3 DoFs light exoskeleton device, with direct-drive of each DoF and a human-like range of motion for Flexion/Extension (FE), Abduction/Adduction (AA) and Pronation/Supination (PS). Subjects were asked to track a variable-frequency oscillating target using only one wrist DoF at time, in such a way to carry out a progressive splinting therapy. The RoM of each DoF was angularly scanned in a staircase-like fashion, from the “easier” to the “more difficult” angular position. An Adaptive Controller evaluated online performance parameters and modulated both the assistance and the difficulty of the task in order to facilitate smoother and more precise motor command patterns.
Results:
Three stroke subjects volunteered to participate in a preliminary test session aimed at verify the acceptability of the device and the feasibility of the designed protocol. All of them were able to perform the required task. The wrist active RoM of motion was evaluated for each patient at the beginning and at the end of the test therapy session and the results suggest a positive trend.
Conclusion:
The positive outcomes of the preliminary tests motivate the planning of a clinical trial and provide experimental evidence for defining appropriate inclusion/exclusion criteria.
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