Genetic algorithm for the multidimensional filtering process of visual evoked potential signals

N. Laskaris, A. Bezerianos, S. Fotopoulos, P. Papathanasopoulos

Research output: Contribution to journalConference article

Abstract

A new filtering approach for the recovering of Visual Evoked Potential signal is introduced. The single trials are treated as observation vectors from a multidimensional distribution, in order to exploit the obvious correlation between the time instants. The technique of Potential Functions is utilized to approximate the vector distribution. A Genetic Algorithm is employed for the location of the mode of this distribution which is proposed as an estimate of the underlying EP signal. The experimental results indicate that the mode of the vector distribution deviates a lot from the corresponding ensemble average, justifying our approach. The proposed filtering method offers significant increases in Signal to Noise Ratio (SNR) compared to conventional averaging, showing that the status of the visual pathway can be better portrayed.

Original languageEnglish (US)
Pages (from-to)1553-1554
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume4
StatePublished - Dec 1 1996
EventProceedings of the 1996 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 4 (of 5) - Amsterdam, Neth
Duration: Oct 31 1996Nov 3 1996

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Fingerprint Dive into the research topics of 'Genetic algorithm for the multidimensional filtering process of visual evoked potential signals'. Together they form a unique fingerprint.

  • Cite this