A BCI Gaze Sensing Method Using Low Jitter Code Modulated VEP

Visual evoked potentials (VEPs) are used in clinical applications in ophthalmology, neurology, and extensively in brain−computer interface (BCI) research. Many BCI implementations utilize steady-state VEP (SSVEP) and/or code modulated VEP (c-VEP) as inputs, in tandem with sophisticated met...

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Main Authors: Ibrahim Kaya, Jorge Bohórquez, Özcan Özdamar
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Sensors
Subjects:
BCI
Online Access:https://www.mdpi.com/1424-8220/19/17/3797
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spelling doaj-ba711780c57c40c19ff3e16a4a9e5ee42020-11-25T02:04:37ZengMDPI AGSensors1424-82202019-09-011917379710.3390/s19173797s19173797A BCI Gaze Sensing Method Using Low Jitter Code Modulated VEPIbrahim Kaya0Jorge Bohórquez1Özcan Özdamar2Neurosensory Engineering Laboratory, Department of Biomedical Engineering, University of Miami, Coral Gables, FL 33146, USANeurosensory Engineering Laboratory, Department of Biomedical Engineering, University of Miami, Coral Gables, FL 33146, USANeurosensory Engineering Laboratory, Department of Biomedical Engineering, University of Miami, Coral Gables, FL 33146, USAVisual evoked potentials (VEPs) are used in clinical applications in ophthalmology, neurology, and extensively in brain−computer interface (BCI) research. Many BCI implementations utilize steady-state VEP (SSVEP) and/or code modulated VEP (c-VEP) as inputs, in tandem with sophisticated methods to improve information transfer rates (ITR). There is a gap in knowledge regarding the adaptation dynamics and physiological generation mechanisms of the VEP response, and the relation of these factors with BCI performance. A simple, dual pattern display setup was used to evoke VEPs and to test signatures elicited by non-isochronic, non-singular, low jitter stimuli at the rates of 10, 32, 50, and 70 reversals per second (rps). Non-isochronic, low-jitter stimulation elicits quasi-steady-state VEPs (QSS-VEPs) that are utilized for the simultaneous generation of transient VEP and QSS-VEP. QSS-VEP is a special case of c-VEPs, and it is assumed that it shares similar generators of the SSVEPs. Eight subjects were recorded, and the performance of the overall system was analyzed using receiver operating characteristic (ROC) curves, accuracy plots, and ITRs. In summary, QSS-VEPs performed better than transient VEPs (TR-VEP). It was found that in general, 32 rps stimulation had the highest ROC area, accuracy, and ITRs. Moreover, QSS-VEPs were found to lead to higher accuracy by template matching compared to SSVEPs at 32 rps. To investigate the reasons behind this, adaptation dynamics of transient VEPs and QSS-VEPs at all four rates were analyzed and speculated.https://www.mdpi.com/1424-8220/19/17/3797gaze sensingSSVEPBCIc-VEPtransient VEPQSS-VEPdeconvolution
collection DOAJ
language English
format Article
sources DOAJ
author Ibrahim Kaya
Jorge Bohórquez
Özcan Özdamar
spellingShingle Ibrahim Kaya
Jorge Bohórquez
Özcan Özdamar
A BCI Gaze Sensing Method Using Low Jitter Code Modulated VEP
Sensors
gaze sensing
SSVEP
BCI
c-VEP
transient VEP
QSS-VEP
deconvolution
author_facet Ibrahim Kaya
Jorge Bohórquez
Özcan Özdamar
author_sort Ibrahim Kaya
title A BCI Gaze Sensing Method Using Low Jitter Code Modulated VEP
title_short A BCI Gaze Sensing Method Using Low Jitter Code Modulated VEP
title_full A BCI Gaze Sensing Method Using Low Jitter Code Modulated VEP
title_fullStr A BCI Gaze Sensing Method Using Low Jitter Code Modulated VEP
title_full_unstemmed A BCI Gaze Sensing Method Using Low Jitter Code Modulated VEP
title_sort bci gaze sensing method using low jitter code modulated vep
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2019-09-01
description Visual evoked potentials (VEPs) are used in clinical applications in ophthalmology, neurology, and extensively in brain−computer interface (BCI) research. Many BCI implementations utilize steady-state VEP (SSVEP) and/or code modulated VEP (c-VEP) as inputs, in tandem with sophisticated methods to improve information transfer rates (ITR). There is a gap in knowledge regarding the adaptation dynamics and physiological generation mechanisms of the VEP response, and the relation of these factors with BCI performance. A simple, dual pattern display setup was used to evoke VEPs and to test signatures elicited by non-isochronic, non-singular, low jitter stimuli at the rates of 10, 32, 50, and 70 reversals per second (rps). Non-isochronic, low-jitter stimulation elicits quasi-steady-state VEPs (QSS-VEPs) that are utilized for the simultaneous generation of transient VEP and QSS-VEP. QSS-VEP is a special case of c-VEPs, and it is assumed that it shares similar generators of the SSVEPs. Eight subjects were recorded, and the performance of the overall system was analyzed using receiver operating characteristic (ROC) curves, accuracy plots, and ITRs. In summary, QSS-VEPs performed better than transient VEPs (TR-VEP). It was found that in general, 32 rps stimulation had the highest ROC area, accuracy, and ITRs. Moreover, QSS-VEPs were found to lead to higher accuracy by template matching compared to SSVEPs at 32 rps. To investigate the reasons behind this, adaptation dynamics of transient VEPs and QSS-VEPs at all four rates were analyzed and speculated.
topic gaze sensing
SSVEP
BCI
c-VEP
transient VEP
QSS-VEP
deconvolution
url https://www.mdpi.com/1424-8220/19/17/3797
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