Ghosh, S.; Máthé, D.; Bhuvana, H. P.; Sankarapillai, P.; Mohan, A.; Bhuvanakantham, R.; Gulyás, B.; Padmanabhan, P. Review of Multimodal Data Acquisition Approaches for Brain-Computer Interfaces. Preprints2024, 2024060777. https://doi.org/10.20944/preprints202406.0777.v1
APA Style
Ghosh, S., Máthé, D., Bhuvana, H. P., Sankarapillai, P., Mohan, A., Bhuvanakantham, R., Gulyás, B., & Padmanabhan, P. (2024). Review of Multimodal Data Acquisition Approaches for Brain-Computer Interfaces. Preprints. https://doi.org/10.20944/preprints202406.0777.v1
Chicago/Turabian Style
Ghosh, S., Balázs Gulyás and Parasuraman Padmanabhan. 2024 "Review of Multimodal Data Acquisition Approaches for Brain-Computer Interfaces" Preprints. https://doi.org/10.20944/preprints202406.0777.v1
Abstract
There have been multiple technological advancements that promise to gradually enable devices to measure and record signals with high resolution and accuracy in the domain of Brain Computer Interfaces (BCI). This review paper provides a comprehensive overview of fNIRS, EEG, and fMRI, including their principles, advantages, limitations, and integration with other modalities for advanced BCIs. The paper highlights the advantages of integrating multiple modalities, such as increased accuracy and reliability, and discusses the challenges and limitations of multimodal integration. Applications of advanced BCIs in clinical, assistive, gaming, and entertainment domains are also discussed. Furthermore, we explain the data acquisition approaches for each of these modalities. We also demonstrate various software programs that help in extracting, cleaning, and refining the data. We conclude this paper with discussion on the available literature on data acquisition approaches and a comparison of the ease of use for each of the modalities.
Keywords
Brain Computer Interface; data acquisition modalities; functional near-infrared spectroscopy; electroencephalography; functional magnetic resonance imaging; multimodal integration; signal processing.
Subject
Biology and Life Sciences, Neuroscience and Neurology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
