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2010 Index IEEE Transactions on Biomedical Circuits and Systems Vol. 4

2010 IEEE Transactions on Biomedical Circuits and Systems  
., +, TBCAS Feb. 2010 27-38 Development of a Low-Cost FPGA-Based SSVEP BCI Multimedia Control System. Shyu, K.  ...  ., +, TBCAS Feb. 2010 49-61 Development of a Low-Cost FPGA-Based SSVEP BCI Multimedia Control System. Shyu, K.  ... 
doi:10.1109/tbcas.2010.2096330 fatcat:fi6ak6e7wvdp7aoqnh4oggaddy

Development of an FPGA-based real-time P300 speller

Kanav Khurana, Pooja Gupta, Rajesh C. Panicker, Akash Kumar
2012 22nd International Conference on Field Programmable Logic and Applications (FPL)  
This paper proposes a low-cost FPGA based BCI speller application. The proposed system combines a stimulation panel, data acquisition and FPGA based realtime signal processing.  ...  Most of the current BCI systems are based on personal computers.  ...  Experimental results verified the effectiveness of the proposed SSVEPbased BCI multimedia device control system as a low-cost SSVEP BCI "computer-free" system.  ... 
doi:10.1109/fpl.2012.6339377 dblp:conf/fpl/KhuranaGPK12 fatcat:3wq3h4qzibavfjiubsojqjqkyq

An FPGA-Embedded Brain-Computer Interface System to Support Individual Autonomy in Locked-In Individuals

Arrigo Palumbo, Nicola Ielpo, Barbara Calabrese
2022 Sensors  
This paper proposes a P300-based portable embedded BCI system realized through an embedded hardware platform based on FPGA (field-programmable gate array), ensuring flexibility, reliability, and high-performance  ...  The BCI system is designed to allow to user to perform communication and domotic controls.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s22010318 pmid:35009860 pmcid:PMC8749705 fatcat:iosto2ixvndolgi76nfe7ylcw4

A generalized preprocessing and feature extraction platform for scalp EEG signals on FPGA

L.P Wijesinghe, D.S Wickramasuriya, Ajith A. Pasqual
2014 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES)  
A gradual transition of BCI systems to hardware would prove beneficial in terms of compactness, power consumption and much faster response to stimuli.  ...  We present the FPGA design and novel architecture of a generalized platform that provides a set of predefined features and preprocessing steps that can be configured by a user for BCI applications.  ...  design of a low-cost FPGA-based BCI."  ... 
doi:10.1109/iecbes.2014.7047472 fatcat:wuvzugmjqnabtnmrguzkwzmjwi

Embedded Brain Computer Interface: State-of-the-Art in Research

Kais Belwafi, Sofien Gannouni, Hatim Aboalsamh
2021 Sensors  
Most of the current BCI systems are based on a personal computer.  ...  So, in this review, we provide an overview of the BCIs development and the current available technology before discussing experimental studies of BCIs.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21134293 pmid:34201788 fatcat:nr5gptgj5zadzfd365nlruvi44

Brain Computer Interface-Based Smart Living Environmental Auto-Adjustment Control System in UPnP Home Networking

Chin-Teng Lin, Bor-Shyh Lin, Fu-Chang Lin, Che-Jui Chang
2014 IEEE Systems Journal  
A brain computer interface-based smart living environmental auto-adjustment control system (BSLEACS) is proposed in this paper.  ...  Moreover, different from other BCI systems, the property of using only a single EEG channel to monitor cognitive state also makes BSLEACS become more practicable.  ...  Shyu et al. proposed a FPGA-based SSVEP BCI control system MindBalance Graz-BCI SSVEP BCI BCI System [13] [17] Multimedia BSLEACS Control [15] EEG signal SSVEP Motor imagery SSVEP Alpha and  ... 
doi:10.1109/jsyst.2012.2192756 fatcat:hzlasthty5cs5a56tgm5mryldy

Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review

Mamunur Rashid, Norizam Sulaiman, Anwar P. P. Abdul Majeed, Rabiu Muazu Musa, Ahmad Fakhri Ab. Nasir, Bifta Sama Bari, Sabira Khatun
2020 Frontiers in Neurorobotics  
This article provides a comprehensive review of the state-of-the-art of a complete BCI system. First, a brief overview of electroencephalogram (EEG)-based BCI systems is given.  ...  Secondly, a considerable number of popular BCI applications are reviewed in terms of electrophysiological control signals, feature extraction, classification algorithms, and performance evaluation metrics  ...  ACKNOWLEDGMENTS The authors would like to acknowledge support from the Faculty of Electrical & Electronics Engineering Technology, Universiti Malaysia Pahang, Malaysia.  ... 
doi:10.3389/fnbot.2020.00025 pmid:32581758 pmcid:PMC7283463 fatcat:jhpwp2b3hffz5mazb7y6oj3saq

Performance Assessment of a Custom, Portable, and Low-Cost Brain–Computer Interface Platform

Colin M. McCrimmon, Jonathan Lee Fu, Ming Wang, Lucas Silva Lopes, Po T. Wang, Alireza Karimi-Bidhendi, Charles Y. Liu, Payam Heydari, Zoran Nenadic, An Hong Do
2017 IEEE Transactions on Biomedical Engineering  
Therefore, we developed a portable, low-cost BCI and compared its performance to that of a conventional BCI.  ...  Conclusion: The performance of our portable, low-cost BCI is comparable to that of conventional BCIs.  ...  In this study, we developed a portable, low-cost BCI system based on [13] , and then performed a head-to-head comparison of its decoding capability against that of a conventional BCI system.  ... 
doi:10.1109/tbme.2017.2667579 pmid:28207382 fatcat:cgw7i7ykrndvzbfkxxjyi5et6i

A Hybrid FPGA-Based System for EEG- and EMG-Based Online Movement Prediction

Hendrik Wöhrle, Marc Tabie, Su Kim, Frank Kirchner, Elsa Kirchner
2017 Sensors  
In this paper, we propose a hybrid Field Programmable Gate Array (FPGA)-based approach for the implementation of a hybrid BCI, since this can fulfill the requirements discussed above.  ...  We present a novel Field Programmable Gate Array (FPGA) -based system for real-time movement prediction using physiological data.  ...  The aim of FPGA-based BCI systems is to replace a standard PC. In [107, 109] , Shyu et. al. present an FPGA-based system for the detection of SSVEPs.  ... 
doi:10.3390/s17071552 pmid:28671632 pmcid:PMC5539567 fatcat:2ysi5zwe5fdhnmp3gfyz7xpvby

An Efficient Hardware Implementation for a Motor Imagery Brain Computer Interface System

Alireza Malekmohammadi, Hoda Mohammadzade, Alireza Chamanzar, Mahdi Shabany, Benyamin Ghojogh
2018 Scientia Iranica. International Journal of Science and Technology  
This article presents the design and implementation of a Brain Computer Interface (BCI) system based on motor imagery on a Virtex-6 FPGA.  ...  There is a tremendous interest in implementing BCIs on portable platforms, such as Field Programmable Gate Arrays (FPGAs) due to their low-cost, low-power and portability characteristics.  ...  A low-cost FPGA-based BCI multimedia control system is also proposed in [50] . Their proposed framework is used to control multimedia devices.  ... 
doi:10.24200/sci.2018.4978.1022 fatcat:kf566gusljgjfagu23gajdkfri

Deep Learning in Mining Biological Data

Mufti Mahmud, M. Shamim Kaiser, T. Martin McGinnity, Amir Hussain
2021 Cognitive Computation  
Artificial neural network-based learning systems are well known for their pattern recognition capabilities, and lately their deep architectures—known as deep learning (DL)—have been successfully applied  ...  Mining such enormous amount of data for pattern recognition is a big challenge and requires sophisticated data-intensive machine learning techniques.  ...  Acknowledgements The authors would like to thank the members of the acslab (http://www.acsla b.info/) for valuable discussions. Author Contributions  ... 
doi:10.1007/s12559-020-09773-x pmid:33425045 pmcid:PMC7783296 fatcat:n4nk7gakfbb4fbhdi5pqeojwjm

Design of large polyphase filters in the Quadratic Residue Number System

Gian Carlo Cardarilli, Alberto Nannarelli, Yann Oster, Massimo Petricca, Marco Re
2010 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers  
noninvasive brain computer interface (BCI) based on the steady state visual evoked potential (SSVEP) has been developed and utilized in controlling an iRobot platform remotely in real-time closed-loop  ...  are enabling low-cost and effective embedded sensing and its use in operational controls.  ... 
doi:10.1109/acssc.2010.5757589 fatcat:ccxnu5owr5fyrcjcqukumerueq

Abstracts of the 20th European Conference on Eye Movements, 18-22 August 2019, in Alicante (Spain)

Susana Martinez-Conde, Luis Martinez-Otero, Albert Compte, Rudolf Groner
2019 Journal of Eye Movement Research  
This document contains all abstracts of the 20th European Conference on Eye Movements, August 18-22, 2019, in Alicante, Spain Video stream "Glimpses at 20th ECEM": https://vimeo.com/user43478756.  ...  Reward was calculated as a fraction of the maximum depending on the performance (accuracy and speed).  ...  Both tasks involved three incentive levels indicated by an auditory cue before the start of each saccade.  ... 
doi:10.16910/jemr.12.7.1 pmid:33828763 pmcid:PMC7917478 fatcat:wqzwn552cndsnablyikzx3og5e

A multi-modal device for application in microsleep detection [article]

Simon James Knopp, University Of Canterbury
2015
This thesis describes a head-mounted system which is the first prototype in the process of creating a system that can detect (and possibly predict) these lapses in real time.  ...  vehicle drivers, pilots, and air-traffic controllers.  ...  If the system was to be developed into a commercial lapse detector, for example, the flexibility afforded by a two-part design would be less important than the total cost of the system.  ... 
doi:10.26021/2937 fatcat:kw3lhdqpezbj5bt3irfluwq5na