Literature DB >> 19230997

Developments in brain-machine interfaces from the perspective of robotics.

Hyun K Kim1, Shinsuk Park, Mandayam A Srinivasan.   

Abstract

Many patients suffer from the loss of motor skills, resulting from traumatic brain and spinal cord injuries, stroke, and many other disabling conditions. Thanks to technological advances in measuring and decoding the electrical activity of cortical neurons, brain-machine interfaces (BMI) have become a promising technology that can aid paralyzed individuals. In recent studies on BMI, robotic manipulators have demonstrated their potential as neuroprostheses. Restoring motor skills through robot manipulators controlled by brain signals may improve the quality of life of people with disability. This article reviews current robotic technologies that are relevant to BMI and suggests strategies that could improve the effectiveness of a brain-operated neuroprosthesis through robotics.

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Year:  2009        PMID: 19230997     DOI: 10.1016/j.humov.2008.12.001

Source DB:  PubMed          Journal:  Hum Mov Sci        ISSN: 0167-9457            Impact factor:   2.161


  2 in total

Review 1.  The biopsycho-ecological paradigm: a foundational theory for medicine.

Authors:  Margaret Grace Stineman; Joel E Streim
Journal:  PM R       Date:  2010-11       Impact factor: 2.298

2.  Blending of brain-machine interface and vision-guided autonomous robotics improves neuroprosthetic arm performance during grasping.

Authors:  John E Downey; Jeffrey M Weiss; Katharina Muelling; Arun Venkatraman; Jean-Sebastien Valois; Martial Hebert; J Andrew Bagnell; Andrew B Schwartz; Jennifer L Collinger
Journal:  J Neuroeng Rehabil       Date:  2016-03-18       Impact factor: 4.262

  2 in total

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