Literature DB >> 12485784

Biopotentials as command and feedback signals in functional electrical stimulation systems.

Thomas Sinkjaer1, Morten Haugland, Andreas Inmann, Morten Hansen, Kim D Nielsen.   

Abstract

Today Functional Electrical Stimulation (FES) is available as a clinical tool in muscle activation used for picking up objects, for standing and walking, for controlling bladder emptying, and for breathing. Despite substantial progress in development and new knowledge, many challenges remain to be resolved to provide a more efficient functionality of FES systems. The most important task of these challenges is to improve control of the activated muscles through open loop or feedback systems. Command and feedback signals can be extracted from biopotentials recorded from muscles (Electromyogram, EMG), nerves (Electroneurogram, ENG), and the brain (Electroencephalogram (EEG) or individual cells). This paper reviews work in which EMG, ENG, and EEG signals in humans have been used as command and feedback signals in systems using electrical stimulation of motor nerves to restore movements after an injury to the Central Nervous System (CNS). It is concluded that the technology is ready to push for more substantial clinical FES investigations in applying muscle and nerve signals. Brain-computer interface systems hold great prospects, but require further development of faster and clinically more acceptable technologies.

Entities:  

Mesh:

Year:  2003        PMID: 12485784     DOI: 10.1016/s1350-4533(02)00178-9

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


  13 in total

1.  The possibility of determination of accuracy of performance just before the onset of a reaching task using movement-related cortical potentials.

Authors:  Satoshi Suzuki; Takemi Matsui; Yusuke Sakaguchi; Kazuhiro Ando; Nobuyuki Nishiuchi; Masayuki Ishihara
Journal:  Med Biol Eng Comput       Date:  2010-07-21       Impact factor: 2.602

Review 2.  Neuroprosthetic technology for individuals with spinal cord injury.

Authors:  Jennifer L Collinger; Stephen Foldes; Tim M Bruns; Brian Wodlinger; Robert Gaunt; Douglas J Weber
Journal:  J Spinal Cord Med       Date:  2013-07       Impact factor: 1.985

Review 3.  Brain-controlled muscle stimulation for the restoration of motor function.

Authors:  Christian Ethier; Lee E Miller
Journal:  Neurobiol Dis       Date:  2014-10-28       Impact factor: 5.996

4.  An open-source hardware and software system for acquisition and real-time processing of electrophysiology during high field MRI.

Authors:  Patrick L Purdon; Hernan Millan; Peter L Fuller; Giorgio Bonmassar
Journal:  J Neurosci Methods       Date:  2008-08-05       Impact factor: 2.390

Review 5.  The science of neural interface systems.

Authors:  Nicholas G Hatsopoulos; John P Donoghue
Journal:  Annu Rev Neurosci       Date:  2009       Impact factor: 12.449

6.  Automatic identification of gait events using an instrumented sock.

Authors:  Stephen J Preece; Laurence P J Kenney; Matthew J Major; Tilak Dias; Edward Lay; Bosco T Fernandes
Journal:  J Neuroeng Rehabil       Date:  2011-05-27       Impact factor: 4.262

7.  MUNDUS project: MUltimodal neuroprosthesis for daily upper limb support.

Authors:  Alessandra Pedrocchi; Simona Ferrante; Emilia Ambrosini; Marta Gandolla; Claudia Casellato; Thomas Schauer; Christian Klauer; Javier Pascual; Carmen Vidaurre; Margit Gföhler; Werner Reichenfelser; Jakob Karner; Silvestro Micera; Andrea Crema; Franco Molteni; Mauro Rossini; Giovanna Palumbo; Eleonora Guanziroli; Andreas Jedlitschka; Marco Hack; Maria Bulgheroni; Enrico d'Amico; Peter Schenk; Sven Zwicker; Alexander Duschau-Wicke; Justinas Miseikis; Lina Graber; Giancarlo Ferrigno
Journal:  J Neuroeng Rehabil       Date:  2013-07-03       Impact factor: 4.262

8.  Facilitating myoelectric-control with transcranial direct current stimulation: a preliminary study in healthy humans.

Authors:  Anirban Dutta; Walter Paulus; Michael A Nitsche
Journal:  J Neuroeng Rehabil       Date:  2014-02-10       Impact factor: 4.262

9.  Mechanomyographic parameter extraction methods: an appraisal for clinical applications.

Authors:  Morufu Olusola Ibitoye; Nur Azah Hamzaid; Jorge M Zuniga; Nazirah Hasnan; Ahmad Khairi Abdul Wahab
Journal:  Sensors (Basel)       Date:  2014-12-03       Impact factor: 3.576

10.  Reflex control of robotic gait using human walking data.

Authors:  Catherine A Macleod; Lin Meng; Bernard A Conway; Bernd Porr
Journal:  PLoS One       Date:  2014-10-27       Impact factor: 3.240

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