DocumentCode
1987273
Title
The application of wavelet theory and fuzzy recognition technology in signal processing
Author
Li, Yuan ; Wang, Jian ; Quan, Guoqing ; Zhang, Jian ; Huo, Chunbao
Author_Institution
Sch. of Mechano-Electron. Eng., Beijing Inst. of Technol., China
Volume
4
fYear
2002
fDate
2002
Firstpage
2944
Abstract
The paper presents a new method based on the wavelet theory and fuzzy recognition technology for the first time to analyze body dynamic blood pressure signal. The method of edge extending is adopted in order to eliminate edge effect in signal pre-processing; the ability of signal characters extracting is enhanced greatly because of application of DWT and CWT; the fuzzy recognition technology introduced by the paper achieves accurate recognition signal. It is tested the method is effective and practical.
Keywords
blood pressure measurement; fuzzy set theory; medical signal processing; pattern recognition; wavelet transforms; blood pressure; diastolic pressure; edge extending; fuzzy recognition; signal pre-processing; systolic pressure; wavelet theory; Blood pressure; Character recognition; Continuous wavelet transforms; Discrete wavelet transforms; Microelectronics; Paper technology; Signal analysis; Signal processing; Testing; Wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN
0-7803-7268-9
Type
conf
DOI
10.1109/WCICA.2002.1020065
Filename
1020065
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