Literature DB >> 12485785

Control of neural prostheses for grasping and reaching.

Mirjana B Popović1.   

Abstract

In recent years several neural prostheses have been developed and tested as orthoses or as therapeutic systems for hemiplegic and tetraplegic subjects aiming to improve the upper extremities function. The use of neural prostheses demonstrated that the targeted group of subjects could significantly benefit from functional electrical stimulation that is integrated in goal directed movements. In this paper the control for neural prostheses is explained using available systems that apply either surface or implantable interfaces to sensory-motor systems. Further more, a new strategy that has been tested for control of reaching and grasping within a neural prosthesis especially designed for neurorehabilitation is described. This, so-called, coordination strategy was based on mimicking the output space model of natural control determined in reach/grasp/release movements of healthy humans.

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Year:  2003        PMID: 12485785     DOI: 10.1016/s1350-4533(02)00187-x

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  9 in total

1.  Functional reorganization of upper-body movement after spinal cord injury.

Authors:  Maura Casadio; Assaf Pressman; Alon Fishbach; Zachary Danziger; Santiago Acosta; David Chen; Hsiang-Yi Tseng; Ferdinando A Mussa-Ivaldi
Journal:  Exp Brain Res       Date:  2010-10-24       Impact factor: 1.972

Review 2.  Neural interfaces for the brain and spinal cord--restoring motor function.

Authors:  Andrew Jackson; Jonas B Zimmermann
Journal:  Nat Rev Neurol       Date:  2012-11-13       Impact factor: 42.937

Review 3.  Functional source separation and hand cortical representation for a brain-computer interface feature extraction.

Authors:  Franca Tecchio; Camillo Porcaro; Giulia Barbati; Filippo Zappasodi
Journal:  J Physiol       Date:  2007-03-01       Impact factor: 5.182

Review 4.  The Evolution of Neuroprosthetic Interfaces.

Authors:  Dayo O Adewole; Mijail D Serruya; James P Harris; Justin C Burrell; Dmitriy Petrov; H Isaac Chen; John A Wolf; D Kacy Cullen
Journal:  Crit Rev Biomed Eng       Date:  2016

5.  EEG-Controlled Functional Electrical Stimulation Therapy With Automated Grasp Selection: A Proof-of-Concept Study.

Authors:  Jirapat Likitlersuang; Ryan Koh; Xinyi Gong; Lazar Jovanovic; Isabel Bolivar-Tellería; Matthew Myers; José Zariffa; César Márquez-Chin
Journal:  Top Spinal Cord Inj Rehabil       Date:  2018

6.  Closed-Loop Hybrid Gaze Brain-Machine Interface Based Robotic Arm Control with Augmented Reality Feedback.

Authors:  Hong Zeng; Yanxin Wang; Changcheng Wu; Aiguo Song; Jia Liu; Peng Ji; Baoguo Xu; Lifeng Zhu; Huijun Li; Pengcheng Wen
Journal:  Front Neurorobot       Date:  2017-10-31       Impact factor: 2.650

7.  Myoelectric Control Performance of Two Degree of Freedom Hand-Wrist Prosthesis by Able-Bodied and Limb-Absent Subjects.

Authors:  Ziling Zhu; Jianan Li; William J Boyd; Carlos Martinez-Luna; Chenyun Dai; Haopeng Wang; He Wang; Xinming Huang; Todd R Farrell; Edward A Clancy
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2022-04-11       Impact factor: 4.528

8.  Microsoft kinect-based artificial perception system for control of functional electrical stimulation assisted grasping.

Authors:  Matija Strbac; Slobodan Kočović; Marko Marković; Dejan B Popović
Journal:  Biomed Res Int       Date:  2014-08-19       Impact factor: 3.411

9.  A kinematic and EMG dataset of online adjustment of reach-to-grasp movements to visual perturbations.

Authors:  Mariusz P Furmanek; Madhur Mangalam; Mathew Yarossi; Kyle Lockwood; Eugene Tunik
Journal:  Sci Data       Date:  2022-01-21       Impact factor: 6.444

  9 in total

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