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Surface Electrode Array based Control of the Wrist and Hand

Surface Electrode Array based Control of the Wrist and Hand
Surface Electrode Array based Control of the Wrist and Hand
Surface stimulation is a non-invasive method of muscle activation that uses adhesive electrodes placed on the surface of the patient skin above the
location of the desired muscles. One application is in stroke rehabilitation where a controller is used to provide assistive stimulation to a patient completing a finite duration task with the impaired limb. Effectiveness of treatment is strongly related to the precision and accuracy of the stimulation applied, and the feasibility of advanced control approaches has been established in two recent clinical trials using iterative learning control algorithms.
Commercially available large surface electrodes are not suitable for precise control of the hand and wrist due to their weak selectivity and simultaneous activation of several opposing muscles. An alternative is the use of electrode arrays where individual array element selection enables more precise control of muscle activation. Locating the optimal stimulation sites is critical to the effective application of surface electrode array stimulation and this paper develops a method for optimal selection of the stimulation sites. To overcome practical difficulties associated with efficient application of electrode array, the method utilises "Virtual Elements" and combinatorial optimization.
164-169
Soska, Anna
61bf571f-41d6-4352-9e72-8348255f5cd2
Freeman, Christopher
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Exell, Timothy
eab3e272-643a-4a55-82a6-2949d0dc0e01
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72
Soska, Anna
61bf571f-41d6-4352-9e72-8348255f5cd2
Freeman, Christopher
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Exell, Timothy
eab3e272-643a-4a55-82a6-2949d0dc0e01
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72

Soska, Anna, Freeman, Christopher, Exell, Timothy and Rogers, Eric (2013) Surface Electrode Array based Control of the Wrist and Hand. IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, France. 03 - 05 Jul 2013. pp. 164-169 .

Record type: Conference or Workshop Item (Paper)

Abstract

Surface stimulation is a non-invasive method of muscle activation that uses adhesive electrodes placed on the surface of the patient skin above the
location of the desired muscles. One application is in stroke rehabilitation where a controller is used to provide assistive stimulation to a patient completing a finite duration task with the impaired limb. Effectiveness of treatment is strongly related to the precision and accuracy of the stimulation applied, and the feasibility of advanced control approaches has been established in two recent clinical trials using iterative learning control algorithms.
Commercially available large surface electrodes are not suitable for precise control of the hand and wrist due to their weak selectivity and simultaneous activation of several opposing muscles. An alternative is the use of electrode arrays where individual array element selection enables more precise control of muscle activation. Locating the optimal stimulation sites is critical to the effective application of surface electrode array stimulation and this paper develops a method for optimal selection of the stimulation sites. To overcome practical difficulties associated with efficient application of electrode array, the method utilises "Virtual Elements" and combinatorial optimization.

Full text not available from this repository.

More information

Published date: 3 July 2013
Venue - Dates: IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, France, 2013-07-03 - 2013-07-05
Organisations: EEE, Southampton Wireless Group

Identifiers

Local EPrints ID: 347609
URI: http://eprints.soton.ac.uk/id/eprint/347609
PURE UUID: fe02ee9d-5f6d-4f2d-b900-d8a6772023c9
ORCID for Eric Rogers: ORCID iD orcid.org/0000-0003-0179-9398

Catalogue record

Date deposited: 26 Jan 2013 00:03
Last modified: 15 Oct 2019 00:55

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