A Comparison of Classification Algorithms for Brain Computer Interface in Drug Craving Treatment

M. Mazzoleni, F. Previdi

Abstract

In this paper, the use of Brain Computer Interfaces (BCIs) is proposed as a means to recover patients from craving diseases, with the aim of a clinical protocol. In order to understanding the BCI messages, a classification algorithm based on logistic regression has been developed. The choice was dictated by a comparison with other known classification techniques of different reasoning type, highlighting the pros and cons of them. Finally, a result regarding the brain areas which are more involved during the activity is reported. [Paper, Code]

Reference

M. Mazzoleni and F. Previdi, "A Comparison of Classification Algorithms for Brain Computer Interface in Drug Craving Treatment", 9th IFAC Symposium on Biological and Medical Systems (BMS) , Berlin, Germany, 2015, doi: 10.1016/j.ifacol.2015.10.188 , ISSN: 2405-8963, pp. 487-492.

Bibtex

@article{MAZZOLENI2015487,
	title = "A Comparison of Classification Algorithms for Brain Computer Interface in Drug Craving Treatment",
	journal = "9th IFAC Symposium on Biological and Medical Systems BMS 2015",
	volume = "48",
	number = "20",
	pages = "487 - 492",
	year = "2015",
	issn = "2405-8963",
	doi = "https://doi.org/10.1016/j.ifacol.2015.10.188",
	author = "M. Mazzoleni and F. Previdi",
}