NDLI: Signal Modality Characterisation of EEG with Response to Steady-State Auditory and Visual BCI Paradigms

Content Provider	IEEE Xplore Digital Library
Author	Mo Chen Mandic, D.P. Rutkowski, T.M. Cichocki, A.
Copyright Year	2007
Description	Author affiliation: Imperial Coll. London, London (Mo Chen; Mandic, D.P.)
Abstract	Novel nonlinear dynamical analysis of the electroencephalogram (EEG) data recorded in steady state brain stimulation paradigms is provided. This is achieved based on some recent developments in the local predictability in phase space, which allows for the assessment of the degree of nonlinearity and uncertainty within the EEG data. Both the responses from the visual and auditory experiments are addressed, based on the auditory steady-state responses (ASSR) and steady-state visual evoked potentials (SSVEP). Simulation results show clear difference in the degree of nonlinearity and uncertainty between the segments of EEG data recorded before, during and after the stimulus. This provides a novel insight into the dynamics of the brain information processing mechanism captured in EEG.
Starting Page	223
Ending Page	228
File Size	3211792
Page Count	6
File Format	PDF
ISBN	9781424415656
ISSN	15512541
DOI	10.1109/MLSP.2007.4414310
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-27
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Steady-state Signal analysis Signal processing Uncertainty Stochastic processes Brain computer interfaces Computer interfaces Humans Signal generators
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Brain - Computer interface based on Steady - State Visual Evoked Potentials (SSVEP)

Auditory Brain-Computer Interface Paradigm with Head Related Impulse Response-Based Spatial Cues

Multiple Channel Detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces

Development of a steady state visual evoked potential (SSVEP)-based brain computer interface (BCI) system

Application and Contrast in Brain-Computer Interface between Hilbert-Huang Transform and Wavelet Transform

Optimal spatial filtering for the steady state visual evoked potential: BCI application

Subject-adaptive steady-state visual evoked potential detection for brain-computer interface

Waveform-Coded Steady-State Visual Evoked Potentials for Brain-Computer Interfaces

Brain-Computer Interfacing: How to control computers with thoughts

Signal Modality Characterisation of EEG with Response to Steady-State Auditory and Visual BCI Paradigms

Similar Documents

Brain - Computer interface based on Steady - State Visual Evoked Potentials (SSVEP)

Auditory Brain-Computer Interface Paradigm with Head Related Impulse Response-Based Spatial Cues

Multiple Channel Detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces

Development of a steady state visual evoked potential (SSVEP)-based brain computer interface (BCI) system

Application and Contrast in Brain-Computer Interface between Hilbert-Huang Transform and Wavelet Transform

Optimal spatial filtering for the steady state visual evoked potential: BCI application

Subject-adaptive steady-state visual evoked potential detection for brain-computer interface

Waveform-Coded Steady-State Visual Evoked Potentials for Brain-Computer Interfaces

Brain-Computer Interfacing: How to control computers with thoughts

Signal Modality Characterisation of EEG with Response to Steady-State Auditory and Visual BCI Paradigms