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