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Published in: Journal of NeuroEngineering and Rehabilitation 1/2010

Open Access 01-12-2010 | Research

Self-adaptive robot training of stroke survivors for continuous tracking movements

Authors: Elena Vergaro, Maura Casadio, Valentina Squeri, Psiche Giannoni, Pietro Morasso, Vittorio Sanguineti

Published in: Journal of NeuroEngineering and Rehabilitation | Issue 1/2010

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Abstract

Background

Although robot therapy is progressively becoming an accepted method of treatment for stroke survivors, few studies have investigated how to adapt the robot/subject interaction forces in an automatic way. The paper is a feasibility study of a novel self-adaptive robot controller to be applied with continuous tracking movements.

Methods

The haptic robot Braccio di Ferro is used, in relation with a tracking task. The proposed control architecture is based on three main modules: 1) a force field generator that combines a non linear attractive field and a viscous field; 2) a performance evaluation module; 3) an adaptive controller. The first module operates in a continuous time fashion; the other two modules operate in an intermittent way and are triggered at the end of the current block of trials. The controller progressively decreases the gain of the force field, within a session, but operates in a non monotonic way between sessions: it remembers the minimum gain achieved in a session and propagates it to the next one, which starts with a block whose gain is greater than the previous one. The initial assistance gains are chosen according to a minimal assistance strategy. The scheme can also be applied with closed eyes in order to enhance the role of proprioception in learning and control.

Results

The preliminary results with a small group of patients (10 chronic hemiplegic subjects) show that the scheme is robust and promotes a statistically significant improvement in performance indicators as well as a recalibration of the visual and proprioceptive channels. The results confirm that the minimally assistive, self-adaptive strategy is well tolerated by severely impaired subjects and is beneficial also for less severe patients.

Conclusions

The experiments provide detailed information about the stability and robustness of the adaptive controller of robot assistance that could be quite relevant for the design of future large scale controlled clinical trials. Moreover, the study suggests that including continuous movement in the repertoire of training is acceptable also by rather severely impaired subjects and confirms the stabilizing effect of alternating vision/no vision trials already found in previous studies.
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Metadata
Title
Self-adaptive robot training of stroke survivors for continuous tracking movements
Authors
Elena Vergaro
Maura Casadio
Valentina Squeri
Psiche Giannoni
Pietro Morasso
Vittorio Sanguineti
Publication date
01-12-2010
Publisher
BioMed Central
Published in
Journal of NeuroEngineering and Rehabilitation / Issue 1/2010
Electronic ISSN: 1743-0003
DOI
https://doi.org/10.1186/1743-0003-7-13

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