DocumentCode
1393669
Title
In the Spotlight: Biomedical Signal Processing
Author
Cerutti, Sergio
Volume
3
fYear
2010
fDate
7/2/1905 12:00:00 AM
Firstpage
10
Lastpage
11
Abstract
BSP is a well established discipline and constitutes the corner stone for the training of Biomedical Engineers both at undergraduate and at graduate levels. No basic curriculum on Biomedical Engineering could even exist without one or more BSP courses. All the advanced methods of signal processing (from traditional linear digital filtering up to non linear higher-order approaches) have been applied to BSP. The EEG signal, which is basically pseudo-stochastic, is a good example: the information contained in the original tracings, which are generally used for physiological or clinical interpretation, is hardly directly interpretable unless a more or less complicate pre-processing is done. This reasoning is obviously applicable, in different contexts, to other biomedical signals.
Keywords
electroencephalography; medical signal processing; neurophysiology; EEG; biomedical engineering; biomedical signal processing; clinical interpretation; physiological interpretation; pseudostochastic signal; Biomedical monitoring; Biomedical signal processing; Signal processing algorithms; Algorithms; Biomedical Engineering; Electroencephalography; Humans; Signal Processing, Computer-Assisted; Software;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Reviews in
Publisher
ieee
ISSN
1937-3333
Type
jour
DOI
10.1109/RBME.2010.2082710
Filename
5656445
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