DocumentCode :
2759774
Title :
On the use of splines for wavelet construction for solving the problem of biomedical signal analysis process automation
Author :
Stepanov, Andrey B.
Author_Institution :
Bonch-Bruevich St.-Petersburg State Univ. of Telecommun., St. Petersburg, Russia
fYear :
2015
fDate :
20-24 April 2015
Firstpage :
216
Lastpage :
221
Abstract :
The article describes the procedure of wavelet synthesis for continuous wavelet transform and opportunities to apply cubic splines for this. As the analyzed signal one of biomedical signals is given, the signal is EEG. All phases of the construction of a new wavelet based on a signal fragment are described. The results are obtained by applying wavelets derived in the process of direct and inverse continuous wavelet transform. At the end we provide recommendations on selecting a digital signal processor that can be used when implementing automatic biomedical signal analysis algorithms.
Keywords :
electroencephalography; medical signal processing; splines (mathematics); wavelet transforms; EEG; automatic biomedical signal analysis algorithms; biomedical signal analysis process automation; biomedical signals; continuous wavelet transform; cubic splines; digital signal processor; direct continuous wavelet transform; inverse continuous wavelet transform; signal fragment; wavelet construction; Continuous wavelet transforms; Digital signal processors; Electroencephalography; Splines (mathematics); Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Open Innovations Association (FRUCT), 2015 17TH Conference of
Conference_Location :
Yaroslavl
ISSN :
2305-7254
Type :
conf
DOI :
10.1109/FRUCT.2015.7117995
Filename :
7117995
Link To Document :
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