Literature DB >> 19109996

Automatic determination of the optimal shape of a surface electrode: selective stimulation.

Dejan B Popović1, Mirjana B Popović.   

Abstract

We present a method for automatic determination of the shape and position of the surface electrode for selective control of fingers extension and flexion by means of electrical stimulation. The multi-pad electrodes used in the experiments comprised 24 pads (1cm diameter) distributed over an area (7 cm x 10 cm) positioned over dorsal and volar aspects of the forearm. The four-channel stimulation system for grasping comprised also an oval reference electrode over the carpal tunnel, and two oval electrodes over the thenar and thumb extensor muscles. We measured seven angles: proximal inter-phalangeal and metacarpal phalangeal index and ring finger joint rotations, wrist extension/flexion and ulnar/radial rotation, and pronation/supination of the forearm. The optimal electrode was determined as the combination of pads that led to fingers, wrist and forearm rotations being similar to the trajectories of healthy individuals when grasping. The similarity of trajectories was assessed by analyzing the aggregate error defined as the sum of squares of differences between the angles measured when stimulating the forearm in tetraplegics and the angles measured in healthy individuals. The aggregate errors were determined from measurements during sequential stimulation of each of the 24 pads. The analysis comprised hand opening and closing for palmar and lateral grasps. The time for determining the optimal electrode was about 10 min. The optimal electrodes had different branched shapes in each of the six tetraplegics; however, once determined they remained unchanged when tested on different days.

Entities:  

Mesh:

Year:  2008        PMID: 19109996     DOI: 10.1016/j.jneumeth.2008.12.003

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  13 in total

1.  Electrical stimulation for the suppression of pathological tremor.

Authors:  Lana Popović Maneski; Nikola Jorgovanović; Vojin Ilić; Strahinja Došen; Thierry Keller; Mirjana B Popović; Dejan B Popović
Journal:  Med Biol Eng Comput       Date:  2011-07-14       Impact factor: 2.602

2.  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

3.  The application of precisely controlled functional electrical stimulation to the shoulder, elbow and wrist for upper limb stroke rehabilitation: a feasibility study.

Authors:  Katie L Meadmore; Timothy A Exell; Emma Hallewell; Ann-Marie Hughes; Chris T Freeman; Mustafa Kutlu; Valerie Benson; Eric Rogers; Jane H Burridge
Journal:  J Neuroeng Rehabil       Date:  2014-06-30       Impact factor: 4.262

4.  A New Semi-Automatic Approach to Find Suitable Virtual Electrodes in Arrays Using an Interpolation Strategy.

Authors:  Christina Salchow; Markus Valtin; Thomas Seel; Thomas Schauer
Journal:  Eur J Transl Myol       Date:  2016-06-13

5.  Evolution of Surface Motor Activation Zones in Hemiplegic Patients During 20 Sessions of FES Therapy with Multi-pad Electrodes.

Authors:  Jovana Malešević; Matija Štrbac; Milica Isaković; Vladimir Kojić; Ljubica Konstantinović; Aleksandra Vidaković; Suzana Dedijer; Miloš Kostić; Thierry Keller
Journal:  Eur J Transl Myol       Date:  2016-06-13

6.  Electrode placement on the forearm for selective stimulation of finger extension/flexion.

Authors:  Xueliang Bao; Yuxuan Zhou; Yunlong Wang; Jianjun Zhang; Xiaoying Lü; Zhigong Wang
Journal:  PLoS One       Date:  2018-01-11       Impact factor: 3.240

7.  A multi-pad electrode based functional electrical stimulation system for restoration of grasp.

Authors:  Nebojša M Malešević; Lana Z Popović Maneski; Vojin Ilić; Nikola Jorgovanović; Goran Bijelić; Thierry Keller; Dejan B Popović
Journal:  J Neuroeng Rehabil       Date:  2012-09-25       Impact factor: 4.262

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

Review 9.  Non-invasive Central and Peripheral Stimulation: New Hope for Essential Tremor?

Authors:  Moussa A Chalah; Jean-Pascal Lefaucheur; Samar S Ayache
Journal:  Front Neurosci       Date:  2015-11-18       Impact factor: 4.677

Review 10.  Advances in selective activation of muscles for non-invasive motor neuroprostheses.

Authors:  Aikaterini D Koutsou; Juan C Moreno; Antonio J Del Ama; Eduardo Rocon; José L Pons
Journal:  J Neuroeng Rehabil       Date:  2016-06-13       Impact factor: 4.262

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