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一种基于P300的脑机接口,旨在帮助重度残疾人在家中操作电子设备。

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

作者信息

Corralejo Rebeca, Nicolás-Alonso Luis F, Alvarez Daniel, Hornero Roberto

机构信息

Biomedical Engineering Group, E.T.S.I. de Telecomunicación, Universidad de Valladolid, Paseo Belén 15, 47011, Valladolid, Spain,

出版信息

Med Biol Eng Comput. 2014 Oct;52(10):861-72. doi: 10.1007/s11517-014-1191-5. Epub 2014 Aug 28.


DOI:10.1007/s11517-014-1191-5
PMID:25163823
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.

摘要

本研究旨在开发并评估一种借助基于P300的脑机接口(BCI)在家中操作电子设备的辅助工具。15名重度受损受试者参与了该研究。所开发的工具允许用户与日常环境进行交互,满足其主要需求。它允许通过十个菜单进行导航,并管理来自八个电子设备的多达113条控制命令。15名受试者中有10名能够以高于77%的准确率操作所提出的工具。其中8名受试者的准确率高于95%。此外,实现了高达20.1比特/分钟的比特率。本研究的新颖之处在于在实际场景中使用环境控制应用程序:由潜在的BCI终端用户管理真实设备。尽管受损用户可能无法在没有他人帮助的情况下设置此系统,但本研究朝着评估此类人群最终操作独立系统的程度迈出了重要一步。我们的结果表明,残疾类型和程度都不是适当地操作基于P300的BCI的相关问题。因此,它可能有助于在家中帮助残疾人提高他们的个人自主性。

相似文献

[1]
A P300-based brain-computer interface aimed at operating electronic devices at home for severely disabled people.

Med Biol Eng Comput. 2014-10

[2]
An efficient P300-based brain-computer interface for disabled subjects.

J Neurosci Methods. 2008-1-15

[3]
A Symbols Based BCI Paradigm for Intelligent Home Control Using P300 Event-Related Potentials.

Sensors (Basel). 2022-12-19

[4]
Hybrid P300-based brain-computer interface to improve usability for people with severe motor disability: electromyographic signals for error correction during a spelling task.

Arch Phys Med Rehabil. 2015-3

[5]
Toward a high-throughput auditory P300-based brain-computer interface.

Clin Neurophysiol. 2009-7

[6]
Brain-controlled applications using dynamic P300 speller matrices.

Artif Intell Med. 2015-1

[7]
How many people are able to control a P300-based brain-computer interface (BCI)?

Neurosci Lett. 2009-10-2

[8]
An Asynchronous P300-Based Brain-Computer Interface Web Browser for Severely Disabled People.

IEEE Trans Neural Syst Rehabil Eng. 2017-8

[9]
Concentration on performance with P300-based BCI systems: a matter of interface features.

Appl Ergon. 2016-1

[10]
Composing only by thought: Novel application of the P300 brain-computer interface.

PLoS One. 2017-9-6

引用本文的文献

[1]
Design of auditory P300-based brain-computer interfaces with a single auditory channel and no visual support.

Cogn Neurodyn. 2023-12

[2]
Brain-computer interface: trend, challenges, and threats.

Brain Inform. 2023-8-4

[3]
Advances in P300 brain-computer interface spellers: toward paradigm design and performance evaluation.

Front Hum Neurosci. 2022-12-21

[4]
Brain-Computer Interface (BCI) Control of a Virtual Assistant in a Smartphone to Manage Messaging Applications.

Sensors (Basel). 2021-5-26

[5]
Proposals and Comparisons from One-Sensor EEG and EOG Human-Machine Interfaces.

Sensors (Basel). 2021-3-22

[6]
Effects of Emotional Stimulations on the Online Operation of a P300-Based Brain-Computer Interface.

Front Hum Neurosci. 2021-2-26

[7]
Beyond Technologies of Electroencephalography-Based Brain-Computer Interfaces: A Systematic Review From Commercial and Ethical Aspects.

Front Neurosci. 2020-12-17

[8]
A Bipolar-Channel Hybrid Brain-Computer Interface System for Home Automation Control Utilizing Steady-State Visually Evoked Potential and Eye-Blink Signals.

Sensors (Basel). 2020-9-24

[9]
Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review.

Front Neurorobot. 2020-6-3

[10]
An inter-subject model to reduce the calibration time for motion imagination-based brain-computer interface.

Med Biol Eng Comput. 2018-11-29

本文引用的文献

[1]
Optimizing event-related potential based brain-computer interfaces: a systematic evaluation of dynamic stopping methods.

J Neural Eng. 2013-5-20

[2]
EEG correlates of P300-based brain-computer interface (BCI) performance in people with amyotrophic lateral sclerosis.

J Neural Eng. 2012-2-21

[3]
Targeting an efficient target-to-target interval for P300 speller brain-computer interfaces.

Med Biol Eng Comput. 2012-2-18

[4]
Robust extraction of P300 using constrained ICA for BCI applications.

Med Biol Eng Comput. 2012-1-17

[5]
Online use of error-related potentials in healthy users and people with severe motor impairment increases performance of a P300-BCI.

Clin Neurophysiol. 2012-1-13

[6]
Asynchronous P300-based brain-computer interface to control a virtual environment: initial tests on end users.

Clin EEG Neurosci. 2011-10

[7]
Accuracy of a P300 speller for people with motor impairments: a comparison.

Clin EEG Neurosci. 2011-10

[8]
Optimizing the P300-based brain-computer interface: current status, limitations and future directions.

J Neural Eng. 2011-3-24

[9]
P300-based brain-computer interface for environmental control: an asynchronous approach.

J Neural Eng. 2011-3-24

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

Front Neurosci. 2010-11-22

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