Grouping modulation with different codes for improving performance in cVEP-based brain–computer interfaces

A novel paradigm for building code modulated visual evoked potential (cVEP) brain–computer interfaces (BCIs) is proposed. The paradigm is based on grouping modulation of stimuli with different codes in order to increase the number of stimuli and resulting information transfer rate (ITR). In a single...

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Bibliographic Details
Published in:Electronics letters Vol. 53; no. 4; pp. 214 - 216
Main Authors: Wei, Qingguo, Gong, Huayun, Lu, Zongwu
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 16.02.2017
Subjects:
Autocorrelation
Biomedical technology
brain‐computer interfaces
Building codes
circularly shifting codes
code modulated visual evoked potential
cVEP‐based brain‐computer interfaces
Electronics
Golay complementary series
grouping modulation
Human-computer interface
information transfer rate
ITR
medical signal processing
Modulation
modulation coding
Series (mathematics)
Simulation
Stimuli
three‐group cVEP BCI
visual evoked potentials
information transfer rate
Golay complementary series
medical signal processing
modulation coding
cVEP-based brain-computer interfaces
brain-computer interfaces
ITR
grouping modulation
circularly shifting codes
code modulated visual evoked potential
visual evoked potentials
three-group cVEP BCI
ISSN:0013-5194, 1350-911X, 1350-911X
Online Access:Get full text
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Summary:A novel paradigm for building code modulated visual evoked potential (cVEP) brain–computer interfaces (BCIs) is proposed. The paradigm is based on grouping modulation of stimuli with different codes in order to increase the number of stimuli and resulting information transfer rate (ITR). In a single group, an original code and its circularly shifting codes are used for modulating 16 stimuli. To achieve good separability of stimuli, the original codes for different groups should have good autocorrelation and cross-correlation properties. A pair of Golay complementary series and an almost perfect autocorrelation sequence are used as the original codes to implement a three-group cVEP BCI with 48 targets. Four subjects participated in a simulated online experiment and a high ITR of 129.58 bits/min was achieved due to the sharp increase of the number of targets.
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ISSN:0013-5194
1350-911X
1350-911X
DOI:10.1049/el.2016.4006