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Fabric based wearable technology for stroke rehabilitation

Fabric based wearable technology for stroke rehabilitation
Fabric based wearable technology for stroke rehabilitation
SMARTmove project is funded by the Medical Research Council, which brings together a multidisciplinary team with expertise in materials, direct-write fabrication, control algorithms, electronics, sensors, user interfacing and end-user engagement. The project will deliver a wearable training system that employs functional electrical stimulation (FES) for upper limb rehabilitation following stroke.
Yang, Kai
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Meadmore, Katie
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Hughes, Ann-Marie
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Grabham, Neil
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Spraggs, Matthew
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Freeman, Christopher
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Beeby, Stephen
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Torah, Russel
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Tudor, John
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Yang, Kai
f1c9b81d-e821-47eb-a69e-b3bc419de9c7
Meadmore, Katie
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Hughes, Ann-Marie
11239f51-de47-4445-9a0d-5b82ddc11dea
Grabham, Neil
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Spraggs, Matthew
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Freeman, Christopher
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Beeby, Stephen
ba565001-2812-4300-89f1-fe5a437ecb0d
Torah, Russel
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Tudor, John
46eea408-2246-4aa0-8b44-86169ed601ff

Yang, Kai, Meadmore, Katie, Hughes, Ann-Marie, Grabham, Neil, Spraggs, Matthew, Freeman, Christopher, Beeby, Stephen, Torah, Russel and Tudor, John (2017) Fabric based wearable technology for stroke rehabilitation. International Functional Electrical Stimulation Society, , London, United Kingdom. 17 - 21 Jul 2017.

Record type: Conference or Workshop Item (Other)

Abstract

SMARTmove project is funded by the Medical Research Council, which brings together a multidisciplinary team with expertise in materials, direct-write fabrication, control algorithms, electronics, sensors, user interfacing and end-user engagement. The project will deliver a wearable training system that employs functional electrical stimulation (FES) for upper limb rehabilitation following stroke.

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Fabric based wearable technology for stroke rehabilitation - Accepted Manuscript
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More information

Accepted/In Press date: 20 April 2017
Published date: 17 July 2017
Venue - Dates: International Functional Electrical Stimulation Society, , London, United Kingdom, 2017-07-17 - 2017-07-21
Learn more about Electronics & Computer Science research

Identifiers

Local EPrints ID: 412250
URI: http://eprints.soton.ac.uk/id/eprint/412250
PURE UUID: 08c10628-7657-4a9f-bf48-1fd3816cd2c5
ORCID for Kai Yang: ORCID iD orcid.org/0000-0001-7497-3911
ORCID for Katie Meadmore: ORCID iD orcid.org/0000-0001-5378-8370
ORCID for Ann-Marie Hughes: ORCID iD orcid.org/0000-0002-3958-8206
ORCID for Neil Grabham: ORCID iD orcid.org/0000-0002-6385-0331
ORCID for Stephen Beeby: ORCID iD orcid.org/0000-0002-0800-1759
ORCID for Russel Torah: ORCID iD orcid.org/0000-0002-5598-2860
ORCID for John Tudor: ORCID iD orcid.org/0000-0003-1179-9455

Catalogue record

Date deposited: 14 Jul 2017 16:30
Last modified: 16 Mar 2024 04:03

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Contributors

Author: Kai Yang ORCID iD
Author: Katie Meadmore ORCID iD
Author: Ann-Marie Hughes ORCID iD
Author: Neil Grabham ORCID iD
Author: Matthew Spraggs
Author: Christopher Freeman
Author: Stephen Beeby ORCID iD
Author: Russel Torah ORCID iD
Author: John Tudor ORCID iD

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