Literature DB >> 12374343

Design and implementation of a brain-computer interface with high transfer rates.

Ming Cheng1, Xiaorong Gao, Shangkai Gao, Dingfeng Xu.   

Abstract

This paper presents a brain-computer interface (BCI) that can help users to input phone numbers. The system is based on the steady-state visual evoked potential (SSVEP). Twelve buttons illuminated at different rates were displayed on a computer monitor. The buttons constituted a virtual telephone keypad, representing the ten digits 0-9, BACKSPACE, and ENTER. Users could input phone number by gazing at these buttons. The frequency-coded SSVEP was used to judge which button the user desired. Eight of the thirteen subjects succeeded in ringing the mobile phone using the system. The average transfer rate over all subjects was 27.15 bits/min. The attractive features of the system are noninvasive signal recording, little training required for use, and high information transfer rate. Approaches to improve the performance of the system are discussed.

Mesh:

Year:  2002        PMID: 12374343     DOI: 10.1109/tbme.2002.803536

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  83 in total

1.  A multi-day and multi-band dataset for a steady-state visual-evoked potential-based brain-computer interface.

Authors:  Ga-Young Choi; Chang-Hee Han; Young-Jin Jung; Han-Jeong Hwang
Journal:  Gigascience       Date:  2019-11-01       Impact factor: 6.524

2.  Towards an independent brain-computer interface using steady state visual evoked potentials.

Authors:  Brendan Z Allison; Dennis J McFarland; Gerwin Schalk; Shi Dong Zheng; Melody Moore Jackson; Jonathan R Wolpaw
Journal:  Clin Neurophysiol       Date:  2008-02       Impact factor: 3.708

3.  Definitions of state variables and state space for brain-computer interface : Part 1. Multiple hierarchical levels of brain function.

Authors:  Walter J Freeman
Journal:  Cogn Neurodyn       Date:  2006-12-07       Impact factor: 5.082

4.  Joint spatial-spectral feature space clustering for speech activity detection from ECoG signals.

Authors:  Vasileios G Kanas; Iosif Mporas; Heather L Benz; Kyriakos N Sgarbas; Anastasios Bezerianos; Nathan E Crone
Journal:  IEEE Trans Biomed Eng       Date:  2014-04       Impact factor: 4.538

5.  Comparison of feature selection and classification methods for a brain-computer interface driven by non-motor imagery.

Authors:  Alvaro Fuentes Cabrera; Dario Farina; Kim Dremstrup
Journal:  Med Biol Eng Comput       Date:  2009-12-30       Impact factor: 2.602

6.  Combined motor imagery and SSVEP based BCI control of a 2 DoF artificial upper limb.

Authors:  Petar Horki; Teodoro Solis-Escalante; Christa Neuper; Gernot Müller-Putz
Journal:  Med Biol Eng Comput       Date:  2011-03-11       Impact factor: 2.602

7.  Real-time two-dimensional asynchronous control of a computer cursor with a single subdural electrode.

Authors:  César Márquez-Chin; Milos R Popovic; Egor Sanin; Robert Chen; Andres M Lozano
Journal:  J Spinal Cord Med       Date:  2012-09       Impact factor: 1.985

8.  Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis.

Authors:  Masaki Nakanishi; Yijun Wang; Xiaogang Chen; Yu-Te Wang; Xiaorong Gao; Tzyy-Ping Jung
Journal:  IEEE Trans Biomed Eng       Date:  2017-04-19       Impact factor: 4.538

9.  P300-Based Brain-Computer Interface Communication: Evaluation and Follow-up in Amyotrophic Lateral Sclerosis.

Authors:  Stefano Silvoni; Chiara Volpato; Marianna Cavinato; Mauro Marchetti; Konstantinos Priftis; Antonio Merico; Paolo Tonin; Konstantinos Koutsikos; Fabrizio Beverina; Francesco Piccione
Journal:  Front Neurosci       Date:  2009-06-19       Impact factor: 4.677

10.  A wireless brain-machine interface for real-time speech synthesis.

Authors:  Frank H Guenther; Jonathan S Brumberg; E Joseph Wright; Alfonso Nieto-Castanon; Jason A Tourville; Mikhail Panko; Robert Law; Steven A Siebert; Jess L Bartels; Dinal S Andreasen; Princewill Ehirim; Hui Mao; Philip R Kennedy
Journal:  PLoS One       Date:  2009-12-09       Impact factor: 3.240

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