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.
(2015). A Comparison of Classification Algorithms for Brain Computer Interface in Drug Craving Treatment [conference presentation - intervento a convegno]. Retrieved from http://hdl.handle.net/10446/55952
A Comparison of Classification Algorithms for Brain Computer Interface in Drug Craving Treatment
Mazzoleni, Mirko;Previdi, Fabio
2015-01-01
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.| File | Dimensione del file | Formato | |
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2015 IFAC BMS - BCI.pdf
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