This document presents the development of an embedded system designed to function as an EEG-based brain-computer interface (BCI) system. The system uses a microcontroller and digital signal processor to process, store, and communicate EEG signals required for the application. A Matlab script generates the classifier used in the DSP to identify user intentions, while Windows programs display classification results and convert data for use in Matlab. The system's communication channel can also be integrated into wheelchairs.

1. AN EMBEDDED SYSTEM FOR AN EEG BASED BCI
ABSTRACT:
This paper presents the development of an embedded system designed to be used as
an EEG based BCI system. The designed system is based on a set of microcontroller and
Digital Signal Processor (DSP) in order to accomplish the processing of the signal, the
storage and the communication required for the application. The system is completed with a
Matlab script used to generate the classifier used in the DSP for identification of user's
intentions, and a set of Windows programs used to show results of the classification and
convert the acquired data to use on mathematical software, such as Matlab. Other use of the
system is the integration of its communication channel in wheelchairs.