Literature DB >> 34516746

Neurorobotic fusion of prosthetic touch, kinesthesia, and movement in bionic upper limbs promotes intrinsic brain behaviors.

Paul D Marasco1,2, Jacqueline S Hebert3,4, Jonathon W Sensinger5, Dylan T Beckler1, Zachary C Thumser1,6, Ahmed W Shehata3, Heather E Williams7, Kathleen R Wilson5.   

Abstract

Bionic prostheses have restorative potential. However, the complex interplay between intuitive motor control, proprioception, and touch that represents the hallmark of human upper limb function has not been revealed. Here, we show that the neurorobotic fusion of touch, grip kinesthesia, and intuitive motor control promotes levels of behavioral performance that are stratified toward able-bodied function and away from standard-of-care prosthetic users. This was achieved through targeted motor and sensory reinnervation, a closed-loop neural-machine interface, coupled to a noninvasive robotic architecture. Adding touch to motor control improves the ability to reach intended target grasp forces, find target durometers among distractors, and promote prosthetic ownership. Touch, kinesthesia, and motor control restore balanced decision strategies when identifying target durometers and intrinsic visuomotor behaviors that reduce the need to watch the prosthetic hand during object interactions, which frees the eyes to look ahead to the next planned action. The combination of these three modalities also enhances error correction performance. We applied our unified theoretical, functional, and clinical analyses, enabling us to define the relative contributions of the sensory and motor modalities operating simultaneously in this neural-machine interface. This multiperspective framework provides the necessary evidence to show that bionic prostheses attain more human-like function with effective sensory-motor restoration.

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Mesh:

Year:  2021        PMID: 34516746     DOI: 10.1126/scirobotics.abf3368

Source DB:  PubMed          Journal:  Sci Robot        ISSN: 2470-9476


  4 in total

1.  Preliminary Evaluation of the Effect of Mechanotactile Feedback Location on Myoelectric Prosthesis Performance Using a Sensorized Prosthetic Hand.

Authors:  Eric D Wells; Ahmed W Shehata; Michael R Dawson; Jason P Carey; Jacqueline S Hebert
Journal:  Sensors (Basel)       Date:  2022-05-21       Impact factor: 3.847

2.  Bioinspired soft electroreceptors for artificial precontact somatosensation.

Authors:  Zi Hao Guo; Hai Lu Wang; Jiajia Shao; Yangshi Shao; Luyao Jia; Longwei Li; Xiong Pu; Zhong Lin Wang
Journal:  Sci Adv       Date:  2022-05-27       Impact factor: 14.957

Review 3.  Prosthetic embodiment: systematic review on definitions, measures, and experimental paradigms.

Authors:  Jan Zbinden; Eva Lendaro; Max Ortiz-Catalan
Journal:  J Neuroeng Rehabil       Date:  2022-03-28       Impact factor: 4.262

4.  EMG feedback outperforms force feedback in the presence of prosthesis control disturbance.

Authors:  Jack Tchimino; Jakob Lund Dideriksen; Strahinja Dosen
Journal:  Front Neurosci       Date:  2022-09-20       Impact factor: 5.152

  4 in total

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