Decoding of movement direction using optical imaging of motor cortex

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Article accompanying a poster presentation for the 2013 Computational Neuroscience Annual Meeting. This article discusses the decoding of movement direction using optical imaging of motor cortex.

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2 p.

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Tam, Nicoladie D. & Zouridakis, George July 8, 2013.

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This article is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Arts and Sciences to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 38 times . More information about this article can be viewed below.

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Description

Article accompanying a poster presentation for the 2013 Computational Neuroscience Annual Meeting. This article discusses the decoding of movement direction using optical imaging of motor cortex.

Physical Description

2 p.

Notes

Abstract: This study provides a computational scheme to decode intentional arm movement direction using optical imaging of the motor cortex for future implementation on a neuro-prosthetic device that enables physically disabled patients to navigate a wheelchair using brain-derived signals. To this end, we developed a signal-processing algorithm for detecting movement direction from hemodynamic signals using functional near-infrared spectroscopy (fNIRS) recorded in human subjects during execution of a directional motor task.

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  • Twenty Second Annual Computational Neuroscience Meeting:CNS, 2013, Paris, France

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Publication Information

  • Publication Title: BMC Neuroscience
  • Volume: 14
  • Issue: Suppl 1
  • Peer Reviewed: Yes

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UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

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  • July 8, 2013

Added to The UNT Digital Library

  • Oct. 18, 2013, 9:02 a.m.

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  • May 13, 2014, 3:53 p.m.

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Tam, Nicoladie D. & Zouridakis, George. Decoding of movement direction using optical imaging of motor cortex, article, July 8, 2013; [London, United Kingdom]. (digital.library.unt.edu/ark:/67531/metadc226883/: accessed September 19, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Arts and Sciences.