Brief review of non-invasive motion trajectory prediction based brain-compurer interfaces

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a brief overview of non-invasive motion trajectory prediction (MTP) for brain-computer interface (BCI). This method is an ideal solution for controlling an artificial limb or robot arm because the applied signal processing algorithm reconstruct the track of the imagined movement. Regularly used neurosensory technique for an online outside of the lab application is electroencephalography (EEG). To date only a limited number of motion trajectory prediction studies have been reported using non-invasive techniques. This review provides a brief summary of the state of the art in this area.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages23-24
Number of pages2
Publication statusPublished - 2014
EventThe 8th IEEE EMBS UK & RI Postgraduate Conference in Biomedical Engineering & Medical Physics - Warwick
Duration: 1 Jan 2014 → …

Conference

ConferenceThe 8th IEEE EMBS UK & RI Postgraduate Conference in Biomedical Engineering & Medical Physics
Period1/01/14 → …

Fingerprint

Brain
Artificial limbs
Trajectories
Brain computer interface
Electroencephalography
Signal processing
Robots

Keywords

  • brain-computer interface
  • BCI
  • EEG

Cite this

@inproceedings{987f9506595b4409afbee12430756e07,
title = "Brief review of non-invasive motion trajectory prediction based brain-compurer interfaces",
abstract = "This paper presents a brief overview of non-invasive motion trajectory prediction (MTP) for brain-computer interface (BCI). This method is an ideal solution for controlling an artificial limb or robot arm because the applied signal processing algorithm reconstruct the track of the imagined movement. Regularly used neurosensory technique for an online outside of the lab application is electroencephalography (EEG). To date only a limited number of motion trajectory prediction studies have been reported using non-invasive techniques. This review provides a brief summary of the state of the art in this area.",
keywords = "brain-computer interface, BCI, EEG",
author = "Attila Korik and NH Siddique and Damien Coyle",
year = "2014",
language = "English",
pages = "23--24",
booktitle = "Unknown Host Publication",

}

Korik, A, Siddique, NH & Coyle, D 2014, Brief review of non-invasive motion trajectory prediction based brain-compurer interfaces. in Unknown Host Publication. pp. 23-24, The 8th IEEE EMBS UK & RI Postgraduate Conference in Biomedical Engineering & Medical Physics, 1/01/14.

Brief review of non-invasive motion trajectory prediction based brain-compurer interfaces. / Korik, Attila; Siddique, NH; Coyle, Damien.

Unknown Host Publication. 2014. p. 23-24.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

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AU - Siddique, NH

AU - Coyle, Damien

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N2 - This paper presents a brief overview of non-invasive motion trajectory prediction (MTP) for brain-computer interface (BCI). This method is an ideal solution for controlling an artificial limb or robot arm because the applied signal processing algorithm reconstruct the track of the imagined movement. Regularly used neurosensory technique for an online outside of the lab application is electroencephalography (EEG). To date only a limited number of motion trajectory prediction studies have been reported using non-invasive techniques. This review provides a brief summary of the state of the art in this area.

AB - This paper presents a brief overview of non-invasive motion trajectory prediction (MTP) for brain-computer interface (BCI). This method is an ideal solution for controlling an artificial limb or robot arm because the applied signal processing algorithm reconstruct the track of the imagined movement. Regularly used neurosensory technique for an online outside of the lab application is electroencephalography (EEG). To date only a limited number of motion trajectory prediction studies have been reported using non-invasive techniques. This review provides a brief summary of the state of the art in this area.

KW - brain-computer interface

KW - BCI

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