Development and assessment of a self-paced BCI-VR paradigm using multimodal stimulation and adaptive performance

Vourvopoulos, Athanasios; Ferreira, André; Bermúdez i Badia, Sergi

http://hdl.handle.net/10400.13/2646

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Authors

Vourvopoulos, Athanasios

Ferreira, André

Bermúdez i Badia, Sergi

Abstract(s)

Motor-Imagery based Brain-Computer Interfaces (BCIs) can provide alternative communication pathways to neurologically impaired patients. The combination of BCIs and Virtual Reality (VR) can provide induced illusions of movement to patients with low-level of motor control during motor rehabilitation tasks. Unfortunately, current BCI systems lack reliability and good performance levels in comparison with other types of computer interfaces. To date, there is little evidence on how BCI-based motor training needs to be designed for transferring rehabilitation improvements to real life. Based on our previous work, we showcase the development and assessment of NeuRow, a novel multiplatform immersive VR environment that makes use of multimodal stimulation through vision, sound and vibrotactile feedback and delivered through a VR Head Mounted Display. In addition, we integrated the Adaptive Performance Engine (APE), a statistical approach to optimize user control in a selfpaced BCI-VR paradigm. In this paper, we describe the development and pilot assessment of NeuRow as well as its integration and assessment with APE.

Keywords

Brain-computer interfaces Motor imagery Virtual reality Adaptive performance Neurorehabilitation . Faculdade de Ciências Exatas e da Engenharia

URI

http://hdl.handle.net/10400.13/2646

Citation

Vourvopoulos, A., Ferreira, A., & Bermúdez i Badia, S. B. (2019). Development and assessment of a self-paced BCI-VR paradigm using multimodal stimulation and adaptive performance. In Physiological Computing Systems: International Conferences PhyCS 2016, Lisbon, Portugal, July 27–28, 2016 PhyCS 2017, Madrid, Spain, July 27–28, 2017 PhyCS 2018, Seville, Spain, September 19–21, 2018 Revised and Extended Selected Papers (pp. 1-22). Springer.