Literature DB >> 25570771

Brain-computer interface using P300 and virtual reality: a gaming approach for treating ADHD.

Darius Adam Rohani, Helge B D Sorensen, Sadasivan Puthusserypady.   

Abstract

This paper presents a novel brain-computer interface (BCI) system aiming at the rehabilitation of attention-deficit/hyperactive disorder in children. It uses the P300 potential in a series of feedback games to improve the subjects' attention. We applied a support vector machine (SVM) using temporal and template-based features to detect these P300 responses. In an experimental setup using five subjects, an average error below 30% was achieved. To make it more challenging the BCI system has been embedded inside an immersive 3D virtual reality (VR) classroom with simulated distractions, which was created by combining a low-cost infrared camera and an "off-axis perspective projection" algorithm. This system is intended for kids by operating with four electrodes, as well as a non-intrusive VR setting. With the promising results, and considering the simplicity of the scheme, we hope to encourage future studies to adapt the techniques presented in this study.

Entities:  

Mesh:

Year:  2014        PMID: 25570771     DOI: 10.1109/EMBC.2014.6944403

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  6 in total

Review 1.  What is the level of evidence for the use of currently available technologies in facilitating the self-management of difficulties associated with ADHD in children and young people? A systematic review.

Authors:  Lauren Powell; Jack Parker; Valerie Harpin
Journal:  Eur Child Adolesc Psychiatry       Date:  2017-12-08       Impact factor: 4.785

2.  Serious Video Games: Angels or Demons in Patients With Attention-Deficit Hyperactivity Disorder? A Quasi-Systematic Review.

Authors:  María Rodrigo-Yanguas; Carlos González-Tardón; Marcos Bella-Fernández; Hilario Blasco-Fontecilla
Journal:  Front Psychiatry       Date:  2022-04-27       Impact factor: 5.435

3.  A Prototype SSVEP Based Real Time BCI Gaming System.

Authors:  Ignas Martišius; Robertas Damaševičius
Journal:  Comput Intell Neurosci       Date:  2016-03-09

Review 4.  Artificial Intelligence Algorithms in Visual Evoked Potential-Based Brain-Computer Interfaces for Motor Rehabilitation Applications: Systematic Review and Future Directions.

Authors:  Josefina Gutierrez-Martinez; Jorge A Mercado-Gutierrez; Blanca E Carvajal-Gámez; Jorge L Rosas-Trigueros; Adrian E Contreras-Martinez
Journal:  Front Hum Neurosci       Date:  2021-11-25       Impact factor: 3.169

5.  Testing a novel method for improving wayfinding by means of a P3b Virtual Reality Visual Paradigm in normal aging.

Authors:  Marina de Tommaso; Katia Ricci; Marianna Delussi; Anna Montemurno; Eleonora Vecchio; Antonio Brunetti; Vitoantonio Bevilacqua
Journal:  Springerplus       Date:  2016-08-09

6.  Brain-Computer Interfaces for Children With Complex Communication Needs and Limited Mobility: A Systematic Review.

Authors:  Silvia Orlandi; Sarah C House; Petra Karlsson; Rami Saab; Tom Chau
Journal:  Front Hum Neurosci       Date:  2021-07-14       Impact factor: 3.169

  6 in total

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