On the use of splines for wavelet construction for solving the problem of biomedical signal analysis process automation

On the use of splines for wavelet construction for solving the problem of biomedical signal analysis process automation

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 de...

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Bibliographic Details
Main Author: Andrey B. Stepanov
Format: Article
Language:English
Published: FRUCT 2015-04-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
wavelet
biomedical signal
spline
Online Access:https://www.fruct.org/publications/fruct17/files/Ste.pdf
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spelling doaj-9442890601714a99b7354aec178ed3eb2020-11-24T21:34:05ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372015-04-013881721622110.1109/FRUCT.2015.7117995On the use of splines for wavelet construction for solving the problem of biomedical signal analysis process automationAndrey B. Stepanov0The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Saint-Petersburg, RussiaThe 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.https://www.fruct.org/publications/fruct17/files/Ste.pdf waveletbiomedical signalspline
collection DOAJ
language English
format Article
sources DOAJ
author Andrey B. Stepanov
spellingShingle Andrey B. Stepanov
On the use of splines for wavelet construction for solving the problem of biomedical signal analysis process automation
Proceedings of the XXth Conference of Open Innovations Association FRUCT
wavelet
biomedical signal
spline
author_facet Andrey B. Stepanov
author_sort Andrey B. Stepanov
title On the use of splines for wavelet construction for solving the problem of biomedical signal analysis process automation
title_short On the use of splines for wavelet construction for solving the problem of biomedical signal analysis process automation
title_full On the use of splines for wavelet construction for solving the problem of biomedical signal analysis process automation
title_fullStr On the use of splines for wavelet construction for solving the problem of biomedical signal analysis process automation
title_full_unstemmed On the use of splines for wavelet construction for solving the problem of biomedical signal analysis process automation
title_sort on the use of splines for wavelet construction for solving the problem of biomedical signal analysis process automation
publisher FRUCT
series Proceedings of the XXth Conference of Open Innovations Association FRUCT
issn 2305-7254
2343-0737
publishDate 2015-04-01
description 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.
topic wavelet
biomedical signal
spline
url https://www.fruct.org/publications/fruct17/files/Ste.pdf
work_keys_str_mv AT andreybstepanov ontheuseofsplinesforwaveletconstructionforsolvingtheproblemofbiomedicalsignalanalysisprocessautomation
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