Literature DB >> 23366767

A subjective assessment of a P300 BCI system for lower-limb rehabilitation purposes.

Matthieu Duvinage1, Thierry Castermans, Mathieu Petieau, Karthik Seetharaman, Thomas Hoellinger, Guy Cheron, Thierry Dutoit.   

Abstract

Recent research has shown that a P300 system can be used while walking without requiring any specific gait-related artifact removal techniques. Also, standard EEG-based Brain-Computer Interfaces (BCI) have not been really assessed for lower limb rehabilitation/prosthesis. Therefore, this paper gives a first baseline estimation (for future BCI comparisons) of the subjective and objective performances of a four-state P300 BCI plus a non-control state for lower-limb rehabilitation purposes. To assess usability and workload, the System Usability Scale and the NASA Task Load Index questionnaires were administered to five healthy subjects after performing a real-time treadmill speed control. Results show that the P300 BCI approach could suit fitness and rehabilitation applications, whereas prosthesis control, which suffers from a low reactivity, appears too sensitive for risky and crowded areas.

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Year:  2012        PMID: 23366767     DOI: 10.1109/EMBC.2012.6346806

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


  10 in total

Review 1.  Brain-controlled muscle stimulation for the restoration of motor function.

Authors:  Christian Ethier; Lee E Miller
Journal:  Neurobiol Dis       Date:  2014-10-28       Impact factor: 5.996

2.  The aging brain shows less flexible reallocation of cognitive resources during dual-task walking: A mobile brain/body imaging (MoBI) study.

Authors:  Brenda R Malcolm; John J Foxe; John S Butler; Pierfilippo De Sanctis
Journal:  Neuroimage       Date:  2015-05-16       Impact factor: 6.556

3.  Performance of the Emotiv Epoc headset for P300-based applications.

Authors:  Matthieu Duvinage; Thierry Castermans; Mathieu Petieau; Thomas Hoellinger; Guy Cheron; Thierry Dutoit
Journal:  Biomed Eng Online       Date:  2013-06-25       Impact factor: 2.819

4.  A supplementary system for a brain-machine interface based on jaw artifacts for the bidimensional control of a robotic arm.

Authors:  Álvaro Costa; Enrique Hortal; Eduardo Iáñez; José M Azorín
Journal:  PLoS One       Date:  2014-11-12       Impact factor: 3.240

5.  USEQ: A Short Questionnaire for Satisfaction Evaluation of Virtual Rehabilitation Systems.

Authors:  José-Antonio Gil-Gómez; Pilar Manzano-Hernández; Sergio Albiol-Pérez; Carmen Aula-Valero; Hermenegildo Gil-Gómez; José-Antonio Lozano-Quilis
Journal:  Sensors (Basel)       Date:  2017-07-07       Impact factor: 3.576

Review 6.  Robotics in Lower-Limb Rehabilitation after Stroke.

Authors:  Xue Zhang; Zan Yue; Jing Wang
Journal:  Behav Neurol       Date:  2017-06-08       Impact factor: 3.342

7.  Evaluation of a Dry EEG System for Application of Passive Brain-Computer Interfaces in Autonomous Driving.

Authors:  Thorsten O Zander; Lena M Andreessen; Angela Berg; Maurice Bleuel; Juliane Pawlitzki; Lars Zawallich; Laurens R Krol; Klaus Gramann
Journal:  Front Hum Neurosci       Date:  2017-02-28       Impact factor: 3.169

8.  Towards effective non-invasive brain-computer interfaces dedicated to gait rehabilitation systems.

Authors:  Thierry Castermans; Matthieu Duvinage; Guy Cheron; Thierry Dutoit
Journal:  Brain Sci       Date:  2013-12-31

Review 9.  Brain Oscillations in Sport: Toward EEG Biomarkers of Performance.

Authors:  Guy Cheron; Géraldine Petit; Julian Cheron; Axelle Leroy; Anita Cebolla; Carlos Cevallos; Mathieu Petieau; Thomas Hoellinger; David Zarka; Anne-Marie Clarinval; Bernard Dan
Journal:  Front Psychol       Date:  2016-02-26

10.  Characterization of Artifacts Produced by Gel Displacement on Non-invasive Brain-Machine Interfaces during Ambulation.

Authors:  Álvaro Costa; Rocio Salazar-Varas; Andrés Úbeda; José M Azorín
Journal:  Front Neurosci       Date:  2016-02-25       Impact factor: 4.677

  10 in total

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