Effectively extraction of flash visual evoked potential based upon wavelet transform and detection of non-invasive intracranial pressure.
- Author:
Xi WU
1
;
Zhong JI
Author Information
1. College of Biomedical Engineering, Chongqing Univisity, Chongqing 400030, China. cdwuxi@126.com
- Publication Type:Journal Article
- MeSH:
Electroencephalography;
Evoked Potentials, Visual;
physiology;
Humans;
Intracranial Hypertension;
diagnosis;
physiopathology;
Monitoring, Physiologic;
instrumentation;
methods;
Signal Processing, Computer-Assisted;
Wavelet Analysis
- From:
Journal of Biomedical Engineering
2011;28(6):1089-1093
- CountryChina
- Language:Chinese
-
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.
