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Paper ID:10.55041/IJSREM16002

Signal processing in BCIs: An GAM-based Approach to EEG/ERP Analysis using Python

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM16002

Volume:

6 |

8 |

Aug 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM16002

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

RS

Revati Sule

PS

Puneet Shetty

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Abstract

The goal of this research is to use non-linear linkages to analyze event-related potentials (ERP) in a regression framework (using splines, and General Additive Models – GAMs). The addition of extra information (such as data at the single-trial, – and even single-channel – level), as well as the computation of marginal means and contrasts, provide for a flexible and powerful manner of analyzing differences between circumstances when combined with the use of mixed models.

KEYWORDS

– Invasive Non- Invasive Electroencephalogram (EEGs) Event-Related Potentials (ERPs).

Cite This Article

Revati Sule, Puneet Shetty, "Signal processing in BCIs: An GAM-based Approach to EEG/ERP Analysis using Python," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 8, Aug 2022. https://doi.org/10.55041/IJSREM16002

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Publication Date

4/7/2022

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The authors declare no conflict of interest related to this research work.

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