Decomposition of evoked potentials using peak detection and the Discrete Wavelet Transform

被引：1
|
作者：
McCooey, Conor [1 ]
Kumar, Dinesh Kant [1 ]
Cosic, Irena [1 ]
机构：
[1] RMIT Univ, Melbourne, Vic 3000, Australia
来源：
2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7 | 2005年
关键词：
averaging; Discrete Wavelet Transform; EEG; singularity detection; Visual Evoked Potentials;
D O I：
10.1109/IEMBS.2005.1616866
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
A new method of viewing evoked potential data is described. This method, called the peak detection method, is based on singularity detection using the Discrete Wavelet Transform. The peaks and troughs of raw Visual Evoked Potential data are identified and characterized using the algorithms of this method, resulting in a linear decomposition of the recording into sets of individual peaks. The individual peaks are then added together, averaged and compared to the ensemble average signal. The peak detection method correlates strongly to the ensemble average showing that this method retains the same evoked potential signal profile.
引用
收藏
页码：2071 / 2074
页数：4
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