title: [Effectively extraction of flash visual evoked potential based upon wavelet transform and detection of non-invasive intracranial pressure].
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.
authors.affiliation: College of Biomedical Engineering, Chongqing Univisity, Chongqing 400030, China. cdwuxi@126.com
authors.forename: Xi
authors.initials: X
authors.lastname: Wu
authors.forename: Zhong
authors.initials: Z
authors.lastname: Ji
mesh_terms: D004569:Electroencephalography; D005074:Evoked Potentials, Visual / Q000502:physiology*; D006801:Humans; D019586:Intracranial Hypertension / Q000175:diagnosis* / Q000503:physiopathology; D008991:Monitoring, Physiologic / Q000295:instrumentation / Q000379:methods; D012815:Signal Processing, Computer-Assisted; D058067:Wavelet Analysis