The design and development of Brain Computer Interface (BCI) technologies for clinical applications is a steadily growing area of research. Applications of BCI technologies in rehabilitation contexts is often impeded by the cumbersome setup and computational complexity in BCI data analytics, which consequently leads to challenges in integrating these technologies in clinical contexts. This paper describes a framework for a novel BCI system designed for clinical settings in speech-language rehabilitation. It presents an overview of the technology involved, the applied context and the system design approach. Moreover, an exploratory study was conducted to understand the functional requirements of BCI systems in speech-language rehabilitation contexts of use.
CITATION STYLE
Al-Nafjan, A., Al-Wabil, A., & Al-Ohali, Y. (2015). Augmenting speech-language rehabilitation with brain computer interfaces: An exploratory study using non-invasive electroencephalographic monitoring. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9177, pp. 593–603). Springer Verlag. https://doi.org/10.1007/978-3-319-20684-4_57
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