Artifact Removal for Physiological Signals via Wavelets

被引：0
|
作者：
Lin, En-Bing [1 ]
Abayomi, Oluremi [1 ]
Dahal, Keshab [1 ]
Davis, Patrick [1 ]
Mdziniso, Nonhle Channon [1 ]
机构：
[1] Cent Michigan Univ, Dept Math, Mt Pleasant, MI 48859 USA
来源：
EIGHTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2016) | 2016年 / 10033卷
关键词：
artifact removal; physiological signal; EEG; fNIRS; wavelet transform; multiresolution analysis;
D O I：
10.1117/12.2244906
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
In order to analyze brain activity signals, it is important to remove any artifact of the obtained data so that we can further provide diagnosis of possible symptoms. There are many different ways to do denoising of the given signals. In this paper, we test several biosignals and obtain an optimal ways to denoise the data and perform time frequency analysis of an EEG signal.
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页数：5
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