KFU. Card publication. Spectral analysis of stabilographic signals by Fourier and Hilbert-Huang methods

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

SPECTRAL ANALYSIS OF STABILOGRAPHIC SIGNALS BY FOURIER AND HILBERT-HUANG METHODS

Form of presentation

Articles in international journals and collections

Year of publication

2022

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Authors, employees of KFU

Baltina Tatyana Valerevna, author

Bikchentaeva Leysan Maratovna, author

Sachenkov Oskar Aleksandrovich, author

Tagirova Irina Sergeevna, author

Yafarova Guzel Gulusovna, author

Authors, postgraduates KFU

Bikchentaeva Leysan Maratovna, postgraduate kfu

Authors, students KFU

Dakinova Margarita Vitalevna, author

Bibliographic description in the original language

Dakinova M. V. Spectral analysis of stabilographic signals by Fourier and Hilbert – Huang methods/ M. V. Dakinova, L. M. Bikchentaeva, I. S. Tagirova, T. V. Baltina, G. G. Yafarova and O. A. Sachenkov//IEEE Xplore 2022: VIII International Conference on Information Technology and Nanotechnology (ITNT). - 2022. - pp. 1-4, doi: 10.1109/ITNT55410.2022.9848704.

Annotation

Spectral analysis is an important pipeline step in digital signal processing and significantly effects on received information. Methodical distortions in the information leads to corruptions of properties contained in the signal, and these is an origin of mistaken analysis. The Fourier transform is widespread as such pipeline step, but it limited for processing non-stationary and nonlinear signals. The spectral analysis of the Hilbert-Huang transform has no such limits. The transform is based on the Hilbert spectrum and empirical mode decomposition. The research is focused on the application of the Hilbert-Huang transform to stabilogram data analyses. The method to exarticulate the control factor of the human stability mechanism is developed.

Keywords

Hilbert-Huang transform, empirical mode decomposition, Fourier transform, stabilogram, spectral analysis

The name of the journal

2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137830343&doi=10.1109%2fITNT55410.2022.9848704&partnerID=40&md5=8d08fc80c108c22081b3edc39f77916f

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=271199&p_lang=2

Resource files

File name	Size (MB)	Format
F_Spectral_analysis_of_stabilographic_signals_by_Fourier_and__ilbert___uang_methods.pdf	3,31	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Baltina Tatyana Valerevna	ru_RU
dc.contributor.author	Bikchentaeva Leysan Maratovna	ru_RU
dc.contributor.author	Sachenkov Oskar Aleksandrovich	ru_RU
dc.contributor.author	Tagirova Irina Sergeevna	ru_RU
dc.contributor.author	Yafarova Guzel Gulusovna	ru_RU
dc.contributor.author	Dakinova Margarita Vitalevna	ru_RU
dc.contributor.author	Bikchentaeva Leysan Maratovna	ru_RU
dc.date.accessioned	2022-01-01T00:00:00Z	ru_RU
dc.date.available	2022-01-01T00:00:00Z	ru_RU
dc.date.issued	2022	ru_RU
dc.identifier.citation	Dakinova M. V. Spectral analysis of stabilographic signals by Fourier and Hilbert – Huang methods/ M. V. Dakinova, L. M. Bikchentaeva, I. S. Tagirova, T. V. Baltina, G. G. Yafarova and O. A. Sachenkov//IEEE Xplore 2022: VIII International Conference on Information Technology and Nanotechnology (ITNT). - 2022. - pp. 1-4, doi: 10.1109/ITNT55410.2022.9848704.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=271199&p_lang=2	ru_RU
dc.description.abstract	2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022	ru_RU
dc.description.abstract	Spectral analysis is an important pipeline step in digital signal processing and significantly effects on received information. Methodical distortions in the information leads to corruptions of properties contained in the signal, and these is an origin of mistaken analysis. The Fourier transform is widespread as such pipeline step, but it limited for processing non-stationary and nonlinear signals. The spectral analysis of the Hilbert-Huang transform has no such limits. The transform is based on the Hilbert spectrum and empirical mode decomposition. The research is focused on the application of the Hilbert-Huang transform to stabilogram data analyses. The method to exarticulate the control factor of the human stability mechanism is developed.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Hilbert-Huang transform	ru_RU
dc.subject	empirical mode decomposition	ru_RU
dc.subject	Fourier transform	ru_RU
dc.subject	stabilogram	ru_RU
dc.subject	spectral analysis	ru_RU
dc.title	Spectral analysis of stabilographic signals by Fourier and Hilbert-Huang methods	ru_RU
dc.type	Articles in international journals and collections	ru_RU