DocumentCode
2734769
Title
Biosignal laboratory: a software tool for biomedical signal processing and analysis
Author
Cuesta, D. ; Micó, P. ; Aboy, M. ; Novák, D. ; Brezny, R. ; Samblas, L. ; Pastor, D. ; Sancho, S.
Author_Institution
Dept. of Comput. Sci., Polytechnic Univ. of Valencia, Alcoi, Spain
Volume
4
fYear
2003
fDate
17-21 Sept. 2003
Firstpage
3544
Abstract
Biosignal processing and analysis is a field of great importance in current medical practice. In recent years, biomedical engineers have developed many algorithms and processing techniques in order to help doctors in the examination of many different biosignals, and to find new information embedded in them and not easily observable in the raw data. Since the number and variety of these techniques grows every day, it is becoming more and more difficult to be up to date in biosignal processing. Other aspects such as signals format, algorithms implementation and comparison, artifacts, etc, make the learning process in this field longer and longer, and in many occasions a lot of different software tools are needed to visualize or process biosignals. In this paper we present a program that consists of many of the current typical biosignal processing algorithms: filtering, domain transforms, basic operators, wave detection, and unlike other similar applications, it includes a pattern recognition block. The program can also be used just to exchange signals formats. The objective of this program is to become a usual tool both for medical practice and for biomedical educational purposes.
Keywords
biomedical education; laboratory techniques; medical signal processing; pattern recognition; software tools; algorithms implementation; artifacts; biomedical educational purposes; biomedical engineers; biomedical signal processing techniques; biosignal analysis; biosignal laboratory; biosignal visualization; biosignals format; domain transforms; filtering; learning process; medical practice; pattern recognition block; software tool; wave detection; Biomedical engineering; Biomedical signal processing; Data engineering; Laboratories; Signal analysis; Signal processing; Signal processing algorithms; Software algorithms; Software tools; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
ISSN
1094-687X
Print_ISBN
0-7803-7789-3
Type
conf
DOI
10.1109/IEMBS.2003.1280917
Filename
1280917
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