NDLI: Deep recurrent–convolutional neural network for classification of simultaneous EEG

Content Provider	IET Digital Library
Author	Ghonchi, Hamidreza Fateh, Mansoor Abolghasemi, Vahid Ferdowsi, Saideh Rezvani, Mohsen
Abstract	Brain–computer interface (BCI) is a powerful system for communicating between the brain and outside world. Traditional BCI systems work based on electroencephalogram (EEG) signals only. Recently, researchers have used a combination of EEG signals with other signals to improve the performance of BCI systems. Among these signals, the combination of EEG with functional near-infrared spectroscopy (fNIRS) has achieved favourable results. In most studies, only EEGs or fNIRs have been considered as chain-like sequences, and do not consider complex correlations between adjacent signals, neither in time nor channel location. In this study, a deep neural network model has been introduced to identify the exact objectives of the human brain by introducing temporal and spatial features. The proposed model incorporates the spatial relationship between EEG and fNIRS signals. This could be implemented by transforming the sequences of these chain-like signals into hierarchical three-rank tensors. The tests show that the proposed model has a precision of 99.6%.
Starting Page	142
Ending Page	153
Page Count	12
ISSN	17519675
Volume Number	14
e-ISSN	17519683
Issue Number	Issue 3, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/14/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2019.0297
Journal	IET Signal Processing
Publisher Date	2020-01-07
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adjacent Signal Bioelectric Signal Biology And Medical Computing Brain-computer Interfaces Brain–computer Interface Complex Correlations Convolutional Neural Nets Deep Neural Network Model Deep Recurrent-convolutional Neural Network Digital Signal Processing EEG Signal Electrical Activity in Neurophysiological Processes Electrodiagnostics And Other Electrical Measurement Technique Electroencephalography Human Brain Infrared Spectroscopy Medical Signal Processing Near-infrared Spectroscopy Neural Computing Technique Recurrent Neural Nets Signal Classification Signal Processing And Detection Simultaneous EEG–fNIRS Signal Classification Spatial Feature Temporal Feature Traditional BCI System User InterFace
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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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
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