Neural Monitoring System for the Characterization of Voltage and Frequency Patterns

摘要

Electroencephalography (EEG) is one of the techniques of neuroscience, which is based on the recording of brain bioelectrical activity. An EEG pattern is defined as waveforms that occur regularly and have similar shape and duration. The identification of voltage and frequency patterns for EEG signals can be applied in different areas of medicine such as diagnosis, rehabilitation, and communication with external support devices. This paper presents an investigation performed at the Universidad Autónoma de Querétaro, Facultad de Ingeniería. The objective of the research was the implementation of a BCI (Brain Computer Interface) system with open architecture for the characterization of voltage and frequency patterns for EEG signals. In the tests carried out, the noise and interference levels were verified. The system was divided into four parts; the electronic part that helps in the amplification and conditioning of signals, the signal acquisition system, the implementation of algorithms for processing, and the Graphical interface to show the obtained results. The graphical interface was developed in LabVIEW and the system for signals acquisition in a DSP (Digital Signal Processor).