Literature DB >> 26092769

Biomimetic approaches to bionic touch through a peripheral nerve interface.

Hannes P Saal1, Sliman J Bensmaia2.   

Abstract

State-of-the-art prosthetic hands nearly match the dexterity of the human hand, and sophisticated approaches have been developed to control them intuitively. However, grasping and dexterously manipulating objects relies heavily on the sense of touch, without which we would struggle to perform even the most basic activities of daily living. Despite the importance of touch, not only in motor control but also in affective communication and embodiment, the restoration of touch through bionic hands is still in its infancy, a shortcoming that severely limits their effectiveness. Here, we focus on approaches to restore the sense of touch through an electrical interface with the peripheral nerve. First, we describe devices that can be chronically implanted in the nerve to electrically activate nerve fibers. Second, we discuss how these interfaces have been used to convey basic somatosensory feedback. Third, we review what is known about how the somatosensory nerve encodes information about grasped objects in intact limbs and discuss how these natural neural codes can be exploited to convey artificial tactile feedback. Finally, we offer a blueprint for how these codes could be implemented in a neuroprosthetic device to deliver rich, natural, and versatile tactile sensations.
Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Mesh:

Year:  2015        PMID: 26092769     DOI: 10.1016/j.neuropsychologia.2015.06.010

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  32 in total

1.  Rodent model for assessing the long term safety and performance of peripheral nerve recording electrodes.

Authors:  Srikanth Vasudevan; Kunal Patel; Cristin Welle
Journal:  J Neural Eng       Date:  2016-12-09       Impact factor: 5.379

2.  Simulating tactile signals from the whole hand with millisecond precision.

Authors:  Hannes P Saal; Benoit P Delhaye; Brandon C Rayhaun; Sliman J Bensmaia
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-26       Impact factor: 11.205

Review 3.  Pursuing prosthetic electronic skin.

Authors:  Alex Chortos; Jia Liu; Zhenan Bao
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4.  Mechanical fatigue resistance of an implantable branched lead system for a distributed set of longitudinal intrafascicular electrodes.

Authors:  A E Pena; S S Kuntaegowdanahalli; J J Abbas; J Patrick; K W Horch; R Jung
Journal:  J Neural Eng       Date:  2017-12       Impact factor: 5.379

5.  The neural basis of perceived intensity in natural and artificial touch.

Authors:  Emily L Graczyk; Matthew A Schiefer; Hannes P Saal; Benoit P Delhaye; Sliman J Bensmaia; Dustin J Tyler
Journal:  Sci Transl Med       Date:  2016-10-26       Impact factor: 17.956

Review 6.  Toward a Proprioceptive Neural Interface that Mimics Natural Cortical Activity.

Authors:  Tucker Tomlinson; Lee E Miller
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

Review 7.  The biology of skin wetness perception and its implications in manual function and for reproducing complex somatosensory signals in neuroprosthetics.

Authors:  Davide Filingeri; Rochelle Ackerley
Journal:  J Neurophysiol       Date:  2017-01-25       Impact factor: 2.714

Review 8.  Bionic intrafascicular interfaces for recording and stimulating peripheral nerve fibers.

Authors:  Ranu Jung; James J Abbas; Sathyakumar Kuntaegowdanahalli; Anil K Thota
Journal:  Bioelectron Med (Lond)       Date:  2017-12-14

9.  Armband with Soft Robotic Actuators and Vibrotactile Stimulators for Bimodal Haptic Feedback from a Dexterous Artificial Hand.

Authors:  Moaed A Abd; Michael Bornstein; Emmanuelle Tognoli; Erik D Engeberg
Journal:  IEEE ASME Int Conf Adv Intell Mechatron       Date:  2018-09-03

10.  Biomimetic encoding model for restoring touch in bionic hands through a nerve interface.

Authors:  Elizaveta V Okorokova; Qinpu He; Sliman J Bensmaia
Journal:  J Neural Eng       Date:  2018-09-24       Impact factor: 5.379

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