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Updated: Jan 24, 2026

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
Published on: May 12, 2019
[Effectively extraction of flash visual evoked potential based upon wavelet transform and detection of non-invasive
1College of Biomedical Engineering, Chongqing Univisity, Chongqing 400030, China. cdwuxi@126.com
Abstract:
The signal of flash visual evoked potential (FVEP) is very weak, and often submerges into strong noise environment, like spontaneous electroencephalogram (EEG) signal, so effective de-noising methods should be taken to extract FVEP waveform exactly. In this paper, based upon the frequency feature of FVEP, we use average technology and multi-resolution wavelet transform to filter spontaneous EEG signals, and FVEP can be extracted effectively as a result. While the potential latency corresponding to the N2 wave in the FVEP waveform picked-up is related to intracranial pressure (ICP), the Non-invasive detection of ICP can be realized.
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