APW program - extension of the Neuroscan system for extraction and Analysis of Cortical Evoked Potentials

• Autorzy: Kowalczyk L. , Zalewska E.
• Języki publikacji: EN

Abstrakty

EN

The Scan 4.2 program from the Neuroscan package is designed for the analysis of EEG signals and cortical evoked potentials. The signals are recorded on-line during the subject stimulation. This enables us to examine the dependency of the evoked potentials on changes in the spontaneous activity. Such an analysis requires selection of events, according to the given criteria, and then extraction of the deterministic and random component in the recorded signal after the event. The purpose of the application presented is to extend the Neuroscan package with such a function. The APW program (the Analyzer of Evoked Potentials) is able to select data for the analysis and extract the random component of the EEG signal. The program uses data files of the Neuroscan binary format and calculates a series, whose elements are segments of the recorded signals of a given time before and after the event. The results of the APW analysis can also be read and visualized using the Scan application from the Neuroscan. To test the analysis, a simple test data generator is included. Other unique features of APW are different types of the similarity analysis of the EEG signals.

Słowa kluczowe

EN

electroencephalography; cortical evoked potentials

PL

elektroencefalografia; mózgowe potencjały wywołane

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2005
• Tom: Vol. 25, no. 2
• Strony: 61--67
• Opis fizyczny: Bibliogr. 7 poz., rys.

Twórcy

autor

Kowalczyk L.

• lnstitute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, ul. Ks. Trojdena 4, 02-109 Warszawa, Poland

autor

Zalewska E.

• lnstitute of Biocybernetics and Biomedical Engineering. Polish Academy of Sciences, Warszawa, Poland

Bibliografia

• [1] Schimmel H.: The (+-) reference: Accurace of estimated mean components in average response studies, 1967, Science, 92-94.
• [2] Basar E.: EEG-brain dynamics, Elsevier, 1980.
• [3] Misuls K„ Fakhoury T.: Spehlmann’s Evoked Potential Primer, Butterworth-Heinemann, 2001.
• [4] Press W., Teukolsky S., Vetterling W., Flannery B.: Numerical Recipes in C, Cambridge University Press, 1992, 2002.
• [5] L’Ecuyer P, Blouin F., Coutre R.: A search for good multiple recursive random number generators, ACM Transactions on Modeling and Computer Simulation, 1993, 3, 87-98.
• [6] Neurosoft http://www.neuro.com.
• [7] FLTK - Fast Light Tool Kit, http://www.fltk.org.