Detection of evoked potentials with the use of the stochastic filtering theory

Detection of evoked potentials with the use of the stochastic filtering theory

For detecting evoked potentials (EPs) in electroencephalogram (EEG) signals, a mathematical model of EEG without EP is constructed and equations of stochastic filtering are synthesized. From the analysis of updating sequences, an EP detection criterion is formulated. An EP detection algorithm is dev...

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Veröffentlicht in:Journal of communications technology & electronics 2013-12, Vol.58 (12), p.1276-1281
Hauptverfasser: Grigor’ev, F. N., Kuznetsov, N. A.
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Analysis
Communications Engineering
Communications technology
Computational efficiency
Computer simulation
Electroencephalography
Engineering
Evoked potentials
Filtering
Filtration
Hypotheses
Mathematical analysis
Mathematical models
Mathematical Models and Computational Methods
Networks
Simulation
Stochastic models
Stochasticity
Studies
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Beschreibung
Zusammenfassung:For detecting evoked potentials (EPs) in electroencephalogram (EEG) signals, a mathematical model of EEG without EP is constructed and equations of stochastic filtering are synthesized. From the analysis of updating sequences, an EP detection criterion is formulated. An EP detection algorithm is developed and studied, and its efficiency is confirmed by means of simulation.
ISSN:1064-2269
1555-6557
DOI:10.1134/S1064226913120073