Literature DB >> 15813400

Perceptual limits for a robotic rehabilitation environment using visual feedback distortion.

Bambi R Brewer1, Matthew Fagan, Roberta L Klatzky, Yoky Matsuoka.   

Abstract

Imperceptible visual distortion, in the form of a disguised progression of performance goals, may be a helpful addition to rehabilitation after stroke and other brain injuries. This paper describes work that has been done to lay the groundwork for testing this hypothesis. We have constructed and validated an experimental environment that provides controllable visual distortion and allows precise force and position measurements. To estimate the amount of visual distortion that should be imperceptible, we measured the limits for force and distance/position perception in our rehabilitation environment for young and elderly unimpaired subjects and for a single traumatic brain injury (TBI) patient. We found the Just Noticeable Difference (JND) for produced force to be 19.7% (0.296 N) and the JND for movement distance/finger position to be 13.0% (3.99 mm) for young subjects (ages 18-35). For elderly subjects (ages 61-80), the JND for force was measured to be 31.0% (0.619 N) and the JND for distance/po'sition was 16.1% (5.01 mm). JNDs of 46.0% (0.920 N) and 45.0% (14.8 mm) were found for the motor-impaired individual. In addition, a subject's rating of effort was found to be profoundly influenced by visual feedback concerning the force magnitude. Even when this feedback was distorted, it accounted for 99% of the variance of the effort rating. These results indicate that substantial visual distortions should be imperceptible to the subject, and that visual feedback can be used to influence the subject's perceived experience in our robotic environment. This means that we should be able to use imperceptible visual distortion to alter a patient's perception of therapeutic exercise in a robotic environment.

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Year:  2005        PMID: 15813400     DOI: 10.1109/TNSRE.2005.843443

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


  17 in total

1.  Motor adaptation to a small force field superimposed on a large background force.

Authors:  Jiayin Liu; David J Reinkensmeyer
Journal:  Exp Brain Res       Date:  2006-11-08       Impact factor: 1.972

2.  Transfer of dynamic motor skills acquired during isometric training to free motion.

Authors:  Alejandro Melendez-Calderon; Michael Tan; Moria Fisher Bittmann; Etienne Burdet; James L Patton
Journal:  J Neurophysiol       Date:  2017-03-29       Impact factor: 2.714

3.  Haptic perception of multi-joint hypertonia during simulated patient-therapist physical tele-interaction.

Authors:  D Piovesan; A Melendez-Calderon; F A Mussa-Ivaldi
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2013

4.  Microstructural properties of premotor pathways predict visuomotor performance in chronic stroke.

Authors:  Derek B Archer; Gaurav Misra; Carolynn Patten; Stephen A Coombes
Journal:  Hum Brain Mapp       Date:  2016-02-27       Impact factor: 5.038

5.  Evaluation of robotic training forces that either enhance or reduce error in chronic hemiparetic stroke survivors.

Authors:  James L Patton; Mary Ellen Stoykov; Mark Kovic; Ferdinando A Mussa-Ivaldi
Journal:  Exp Brain Res       Date:  2005-10-26       Impact factor: 1.972

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

Authors:  Peppino Tropea; Benedetta Cesqui; Vito Monaco; Sara Aliboni; Federico Posteraro; Silvestro Micera
Journal:  IEEE J Transl Eng Health Med       Date:  2013-07-24       Impact factor: 3.316

Review 7.  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

8.  Robotic lower limb exoskeletons using proportional myoelectric control.

Authors:  Daniel P Ferris; Cara L Lewis
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

9.  Movement therapy without moving - First results on isometric movement training for post-stroke rehabilitation of arm function.

Authors:  A Melendez-Calderon; E Rodrigues; K Thielbar; J L Patton
Journal:  IEEE Int Conf Rehabil Robot       Date:  2017-07

10.  Error-augmented bimanual therapy for stroke survivors.

Authors:  Farnaz Abdollahi; Molly Corrigan; Emily D C Lazzaro; Robert V Kenyon; James L Patton
Journal:  NeuroRehabilitation       Date:  2018       Impact factor: 2.138

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