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A psycho-verbal stimulation interface for the cognitive evoked potentials acquisition.

B Dionisie¹, H Costin, Veronica Luca

¹Department of Functional Testing, School of Medicine, "Gr.T. Popa" University of Medicine and Pharmacy Iaşi.

Revista Medico-Chirurgicala a Societatii De Medici Si Naturalisti Din Iasi

|March 20, 2009

Summary

This study introduces a psycho-verbal stimulation interface, an IT extension for EEG/EMG devices, to acquire human brain Evoked Potentials (EPs). It aids in cognitive research and language recovery, with results stored via the Telemes web application.

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Area of Science:

Neuroscience
Computer Science
Medical Informatics

Background:

The psycho-verbal stimulation interface is an IT extension for electroencephalography (EEG) and electromyography (EMG) devices.
It is designed for acquiring human brain Evoked Potentials (EPs).

Purpose of the Study:

To develop a customizable psycho-verbal stimulation interface for cognitive process research and language recovery.
To integrate this interface into a tele-medical network for remote monitoring and consulting.

Main Methods:

Developed as a .NET application in C# using Object-Oriented Programming (OOP) principles.
Utilizes TL logic to command the Evoked Potentials (EPs) acquisition module via a parallel port (LPT1).
Designed as a multi-threading application for concurrent operations, including customizable stimulus presentation (text, image, or both) and reaction time measurement.

Main Results:

The interface allows for configurable stimulus sequences and time schemas.
Patient reaction times to stimuli are measured and centralized.
Test sequences and EEG diagrams can be saved in digital formats and stored/delivered online via the Telemes web application.

Conclusions:

The psycho-verbal stimulation interface is a tool within the Telmes project for telemonitoring and tele-consulting.
It serves as a research tool for studying cognitive processes (reading, memory, learning) using visual event-related potentials.
It can be used for language recovery training, with potential for prognostic diagnosis based on collected data.