Literature DB >> 25163823

A P300-based brain-computer interface aimed at operating electronic devices at home for severely disabled people.

Rebeca Corralejo1, Luis F Nicolás-Alonso, Daniel Alvarez, Roberto Hornero.   

Abstract

The present study aims at developing and assessing an assistive tool for operating electronic devices at home by means of a P300-based brain-computer interface (BCI). Fifteen severely impaired subjects participated in the study. The developed tool allows users to interact with their usual environment fulfilling their main needs. It allows for navigation through ten menus and to manage up to 113 control commands from eight electronic devices. Ten out of the fifteen subjects were able to operate the proposed tool with accuracy above 77 %. Eight out of them reached accuracies higher than 95 %. Moreover, bitrates up to 20.1 bit/min were achieved. The novelty of this study lies in the use of an environment control application in a real scenario: real devices managed by potential BCI end-users. Although impaired users might not be able to set up this system without aid of others, this study takes a significant step to evaluate the degree to which such populations could eventually operate a stand-alone system. Our results suggest that neither the type nor the degree of disability is a relevant issue to suitably operate a P300-based BCI. Hence, it could be useful to assist disabled people at home improving their personal autonomy.

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Year:  2014        PMID: 25163823     DOI: 10.1007/s11517-014-1191-5

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  38 in total

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Review 2.  Brain-computer interfaces for communication and control.

Authors:  Jonathan R Wolpaw; Niels Birbaumer; Dennis J McFarland; Gert Pfurtscheller; Theresa M Vaughan
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3.  The effect of motivational instructions on P300 amplitude.

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4.  Real-world applications for brain-computer interface technology.

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5.  Robust extraction of P300 using constrained ICA for BCI applications.

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6.  Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials.

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7.  The contingent negative variation and the late positive wave of the average evoked potential.

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8.  Design and implementation of a P300-based brain-computer interface for controlling an internet browser.

Authors:  Emily M Mugler; Carolin A Ruf; Sebastian Halder; Michael Bensch; Andrea Kubler
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9.  A P300-based brain-computer interface for people with amyotrophic lateral sclerosis.

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10.  Brain Painting: First Evaluation of a New Brain-Computer Interface Application with ALS-Patients and Healthy Volunteers.

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  12 in total

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2.  Using ELM-based weighted probabilistic model in the classification of synchronous EEG BCI.

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3.  Plug&Play Brain-Computer Interfaces for effective Active and Assisted Living control.

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4.  A multi-command SSVEP-based BCI system based on single flickering frequency half-field steady-state visual stimulation.

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5.  Implementation of an Embedded Web Server Application for Wireless Control of Brain Computer Interface Based Home Environments.

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Review 6.  Ethical aspects of brain computer interfaces: a scoping review.

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Journal:  BMC Med Ethics       Date:  2017-11-09       Impact factor: 2.652

7.  Scenario Screen: A Dynamic and Context Dependent P300 Stimulator Screen Aimed at Wheelchair Navigation Control.

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Review 8.  EEG-Based Brain-Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21 st Century.

Authors:  Ioulietta Lazarou; Spiros Nikolopoulos; Panagiotis C Petrantonakis; Ioannis Kompatsiaris; Magda Tsolaki
Journal:  Front Hum Neurosci       Date:  2018-01-31       Impact factor: 3.169

Review 9.  The Human Factors and Ergonomics of P300-Based Brain-Computer Interfaces.

Authors:  J Clark Powers; Kateryna Bieliaieva; Shuohao Wu; Chang S Nam
Journal:  Brain Sci       Date:  2015-08-10

Review 10.  Brain-Computer Interface Spellers: A Review.

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