The Unlock Project: A Python-based framework for practical brain-computer interface communication “app” development
Brumberg, Jonathan S.
Lorenz, Sean D.
Galbraith, Byron V.
Guenther, Frank H.
Institute of Electrical and Electronics Engineers
Scholarly/refereed, author accepted manuscript
© 2012 IEEE
MetadataShow full item record
In this paper we present a framework for reducing the development time needed for creating applications for use in non-invasive brain-computer interfaces (BCI). Our framework is primarily focused on facilitating rapid software “app” development akin to current efforts in consumer portable computing (e.g. smart phones and tablets). This is accomplished by handling intermodule communication without direct user or developer implementation, instead relying on a core subsystem for communication of standard, internal data formats. We also provide a library of hardware interfaces for common mobile EEG platforms for immediate use in BCI applications. A use-case example is described in which a user with amyotrophic lateral sclerosis participated in an electroencephalography-based BCI protocol developed using the proposed framework. We show that our software environment is capable of running in real-time with updates occurring 50–60 times per second with limited computational overhead (5 ms system lag) while providing accurate data acquisition and signal analysis.
Brumberg, J. S., Lorenz, S. D., Galbraith, B. V., & Guenther, F. H. (2012). The Unlock Project: A Python-based framework for practical brain-computer interface communication “app” development. Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2012, 2505–2508. http://doi.org/10.1109/EMBC.2012.6346473
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