Abstract
The Brain-Computer Interfaces (BCI) based on Electroencephalography (EEG), allow that through the processing of impulses or electrical signals generated by the human brain, people who have some type of severe motor disability or suffer from neurological conditions or neurodegenerative diseases, can establish communication with electronic devices. This paper proposes the development of an expert system that generates the control sequences for a neuroprosthesis that will be used in the rehabilitation of patients who cannot control their own muscles through neuronal pathways. This proposal is based on the EGG record during the operation of a BCI under the rare event paradigm and the presence or not of the P300 wave of the Event-Related Potential (ERP). Feature extraction and classification will be implemented on a mobile device using Python as a platform. The processing of the EEG records will allow obtaining the information so that an Expert System implemented in the mobile device, is responsible for determining the control sequences that will be executed by a neuroprosthesis. The tests will be performed by controlling a neuroprosthesis developed by the Instituto Nacional de Rehabilitación in México, which aims to stimulate the movement of a person’s upper limb.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Organización Mundial de la Salud and Banco Mundial, Informe mundial sobre la discapacidad (2011)
Ortner, R., Allison, B.Z., Pichler, G., Heilinger, A., Sabathiel, N., Guger, C.: Assessment and communication for people with disorders of consciousness. JoVE 126, 1–8 (2017). https://doi.org/10.3791/53639
Mercado, J.: Implementación de una nueva estrategia de identificación del potencial P300 para interfaces cerebro-computadora utilizando información espectral del eeg. Master’s thesis, Universidad Autónoma Metropolitana Iztapalapa, August 2016
Schalk, G., McFarland, D., Hinterberger, T., Birbaumer, N., Wolpaw, J.: BCI2000: a general-purpose brain-computer interface (BCI) system. IEEE Trans. Biomed. Eng. 51(6), 1034–1043 (2004). https://doi.org/10.1109/tbme.2004.827072
Farwell, L., Donchin, E.: Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroencephalogr. Clin. Neurophysiol. 70(6), 510–523 (1988). https://doi.org/10.1016/0013-4694(88)90149-6
Ledesma-Ramirez, C., Bojorges-Valdez, E., Yanez-Suarez, O., Saavedra, C., Bougrain, L.: An open-access P300 speller database. In: Fourth International Brain-Computer Interface Meeting, May 2010
Acknowledgments
The team work thanks the Instituto Politécnico Nacional, the Instituto Nacional de Rehabilitación y a la Secretaria de Educación, Ciencia, Tecnología e Innovación de la Ciudad de México for the support, resources and facilities provided for the development of this research.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Contreras-Martínez, A., Carvajal-Gámez, B.E., Rosas-Trigueros, J.L., Gutiérrez-Martínez, J., Mercado-Gutiérrez, J.A. (2020). Open Architecture for the Control of a Neuroprosthesis by Means of a Mobile Device. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2020 – Late Breaking Posters. HCII 2020. Communications in Computer and Information Science, vol 1294. Springer, Cham. https://doi.org/10.1007/978-3-030-60703-6_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-60703-6_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-60702-9
Online ISBN: 978-3-030-60703-6
eBook Packages: Computer ScienceComputer Science (R0)