Literature DB >> 10391592

Control of FES thumb force using slip information obtained from the cutaneous electroneurogram in quadriplegic man.

M Haugland1, A Lickel, J Haase, T Sinkjaer.   

Abstract

A tetraplegic volunteer was implanted with percutaneous intramuscular electrodes in hand and forearm muscles. Furthermore, a sensory nerve cuff electrode was implanted on the volar digital nerve to the radial side of the index finger branching off the median nerve. In laboratory experiments a stimulation system was used to produce a lateral grasp (key grip) while the neural activity was recorded with the cuff electrode. The nerve signal contained information that could be used to detect the occurrence of slips and further to increase stimulation intensity to the thumb flexor/adductor muscles to stop the slip. Thereby the system provided a grasp that could catch an object if it started to slip due to, e.g., decreasing muscle force or changes in load forces tangential to the surface of the object. This method enabled an automatic adjustment of the stimulation intensity to the lowest possible level without loosing the grip and without any prior knowledge about the strength of the muscles and the weight and surface texture of the object.

Entities:  

Mesh:

Year:  1999        PMID: 10391592     DOI: 10.1109/86.769412

Source DB:  PubMed          Journal:  IEEE Trans Rehabil Eng        ISSN: 1063-6528


  10 in total

1.  Implantable telemeter for long-term electroneurographic recordings in animals and humans.

Authors:  N de N Donaldson; L Zhou; T A Perkins; M Munih; M Haugland; T Sinkjaer
Journal:  Med Biol Eng Comput       Date:  2003-11       Impact factor: 2.602

2.  Multiple-electrode nerve cuffs for low-velocity and velocity-selective neural recording.

Authors:  J Taylor; N Donaldson; J Winter
Journal:  Med Biol Eng Comput       Date:  2004-09       Impact factor: 2.602

3.  Model-based ankle joint angle tracing by cuff electrode recordings of peroneal and tibial nerves.

Authors:  Chou-Ching K Lin; Ming-Shaung Ju; Hang-Shing Cheng
Journal:  Med Biol Eng Comput       Date:  2007-02-02       Impact factor: 2.602

4.  On the identification of sensory information from mixed nerves by using single-channel cuff electrodes.

Authors:  Stanisa Raspopovic; Jacopo Carpaneto; Esther Udina; Xavier Navarro; Silvestro Micera
Journal:  J Neuroeng Rehabil       Date:  2010-04-27       Impact factor: 4.262

5.  A fully implanted drug delivery system for peripheral nerve blocks in behaving animals.

Authors:  Eric A Pohlmeyer; Luke R Jordon; Peter Kim; Lee E Miller
Journal:  J Neurosci Methods       Date:  2009-06-12       Impact factor: 2.390

Review 6.  On the viability of implantable electrodes for the natural control of artificial limbs: review and discussion.

Authors:  Max Ortiz-Catalan; Rickard Brånemark; Bo Håkansson; Jean Delbeke
Journal:  Biomed Eng Online       Date:  2012-06-20       Impact factor: 2.819

7.  Effect on signal-to-noise ratio of splitting the continuous contacts of cuff electrodes into smaller recording areas.

Authors:  Max Ortiz-Catalan; Jorge Marin-Millan; Jean Delbeke; Bo Håkansson; Rickard Brånemark
Journal:  J Neuroeng Rehabil       Date:  2013-02-21       Impact factor: 4.262

8.  Biological assessments of multifunctional hydrogel-decorated implantable neural cuff electrode for clinical neurology application.

Authors:  Han-Jun Kim; Dong Nyoung Heo; Yi Jae Lee; Sang Jin Lee; Ji Yoon Kang; Soo Hyun Lee; I I Keun Kwon; Sun Hee Do
Journal:  Sci Rep       Date:  2017-11-10       Impact factor: 4.379

9.  Classification of naturally evoked compound action potentials in peripheral nerve spatiotemporal recordings.

Authors:  Ryan G L Koh; Adrian I Nachman; José Zariffa
Journal:  Sci Rep       Date:  2019-07-31       Impact factor: 4.379

10.  Real-time estimation of FES-induced joint torque with evoked EMG : Application to spinal cord injured patients.

Authors:  Zhan Li; David Guiraud; David Andreu; Mourad Benoussaad; Charles Fattal; Mitsuhiro Hayashibe
Journal:  J Neuroeng Rehabil       Date:  2016-06-22       Impact factor: 4.262

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.