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The contribution to the development of movement control using EEG signals system

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Abstract:
In the past few years the remarkable results in using EEG signals acquired with electrodes on the head surface for human-computer communication have been achieved. In this new issue, called brain-computer interface, the goal is the real-time computer analysis of electrical potentials measured on the head recognition of characteristic signals that are products of consciously generated human activity and using them like control signals. Recent studies and projects show possibilities to control cursor movement on the computer screen (or some other computer commands) and in the same way control of other devices. In the Biomedical Laboratory at the School of Electrical Engineering in Belgrade is started the development of virtual devices for electrophysiological signals measurement (EMG, ECG, EEG). These virtual devices are based on using PC, A/D hardware and LabView software developed by the National Instruments. In addition, the system uses special set of amplifiers for recording the low-level biological signals in a noisy environment in the same frequency range. These devices are used for real-time and off-line analysis of signals for testing and preparation for ultimate system that can be run in real-time as a Windows' application. The system mentioned above is initially tested as a device for EEG signals and evoked potentials recording and is compared with contemporary professional devices that are used for recording spontaneous cortical activity. After the testing the visual, auditory and other sensory potentials the next goal will be activity recognition over the motor cortex and surrounding areas, especially analyzing the case when the other evoked potentials (including mental and motor tasks) are present. The basic research relies on hand movements during daily activity (e.g. real-time signals). The fundamentals of these researches are based on publications that connect motor activity with hand movement. The analyses involve signal processing in the time- and frequency domain. The basic results will be: 1. A device that can be used for monitoring and recording of EEG and evoked potentials in electrophysiological laboratories; 2. Method for extracting signals from EEG, which are correlated with voluntary activity preceding a hand movement (or mental imagination of specific movements).

Type of Seminar:
Public Seminar
Speaker:
Mrs Danka Ivanovic
Date/Time:
Sep 19, 2000   17.00
Location:

ETL K25
Contact Person:

Milos Popovic
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Biographical Sketch: