Microelectrode signals segmentation using stationary wavelet transform

被引：4
|
作者：
Guarnizo, Cristian [1 ]
Orozco, Alvaro A. [1 ]
Castellanos, German [2 ]
机构：
[1] Univ Tecnol Pereira, Dept Elect Engn, Pereira, Colombia
[2] Univ Nacl Colombia, Dept Elect Engn, Bogota, Colombia
来源：
BMEI 2008: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS, VOL 2 | 2008年
关键词：
D O I：
10.1109/BMEI.2008.363
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
We present a methodology for the automatic segmentation of extracellular microelectrode recordings (MER) based on stationary wavelet transform and modified F test which identify segments with equal time - frequency behavior The method was tested using synthetic signals and then applied to real MER signals, achieving artifact removal and showing a superior performance than segmentation based on time representation.
引用
收藏
页码：450 / +
页数：4
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