Adaptive time-frequency interbeat

Fausto Lucena; Yoshinori Takeuchi; Noboru Ohnishi; Allan Kardec Barros; Yoshihiro Fujiwara

doi:10.1109/ICBBE.2008.843

Adaptive time-frequency interbeat

Fausto Lucena, Yoshinori Takeuchi, Noboru Ohnishi, Allan Kardec Barros, Yoshihiro Fujiwara

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In this paper, we address the nonstationary problem to analyze the cardiovascular control system based on beat-to-beat heart rate variability (HRV) time series. A novelty information here is to perform HRV time-frequency analysis without "a priori" knowledge of nonstationarity. This is achieved by adaptive interactions that will decompose the HRV signal in sub-signals with well-defined time-frequency parameters. These may be used to reconstruct the signal in sub-bands or might be used in screening tests. To validate our method, we carried out the experiments with both artificial and real HRV intervals. As an application test, we consider a simple case of screening, where experiments with a database consisting of beat-to-beat samples derived from 20 normal and 15 cardiac heart failures (CHF) yielded an overall classification accuracy of 98.33 %.

Original language	English
Title of host publication	2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008
Publisher	IEEE Computer Society
Pages	2056-2059
Number of pages	4
ISBN (Print)	9781424417483
DOIs	https://doi.org/10.1109/ICBBE.2008.843
Publication status	Published - 2008
Externally published	Yes
Event	2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008 - Shanghai, China Duration: 16-05-2008 → 18-05-2008

Publication series

Name	2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008

Conference

Conference	2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008
Country/Territory	China
City	Shanghai
Period	16-05-08 → 18-05-08

All Science Journal Classification (ASJC) codes

Biotechnology
Biomedical Engineering

Access to Document

10.1109/ICBBE.2008.843

Cite this

Lucena, F., Takeuchi, Y., Ohnishi, N., Barros, A. K., & Fujiwara, Y. (2008). Adaptive time-frequency interbeat. In 2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008 (pp. 2056-2059). Article 4535723 (2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008). IEEE Computer Society. https://doi.org/10.1109/ICBBE.2008.843

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title = "Adaptive time-frequency interbeat",

abstract = "In this paper, we address the nonstationary problem to analyze the cardiovascular control system based on beat-to-beat heart rate variability (HRV) time series. A novelty information here is to perform HRV time-frequency analysis without {"}a priori{"} knowledge of nonstationarity. This is achieved by adaptive interactions that will decompose the HRV signal in sub-signals with well-defined time-frequency parameters. These may be used to reconstruct the signal in sub-bands or might be used in screening tests. To validate our method, we carried out the experiments with both artificial and real HRV intervals. As an application test, we consider a simple case of screening, where experiments with a database consisting of beat-to-beat samples derived from 20 normal and 15 cardiac heart failures (CHF) yielded an overall classification accuracy of 98.33 %.",

author = "Fausto Lucena and Yoshinori Takeuchi and Noboru Ohnishi and Barros, {Allan Kardec} and Yoshihiro Fujiwara",

year = "2008",

doi = "10.1109/ICBBE.2008.843",

language = "English",

isbn = "9781424417483",

series = "2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008",

publisher = "IEEE Computer Society",

pages = "2056--2059",

booktitle = "2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008",

address = "United States",

note = "2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008 ; Conference date: 16-05-2008 Through 18-05-2008",

}

Lucena, F, Takeuchi, Y, Ohnishi, N, Barros, AK & Fujiwara, Y 2008, Adaptive time-frequency interbeat. in 2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008., 4535723, 2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008, IEEE Computer Society, pp. 2056-2059, 2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008, Shanghai, China, 16-05-08. https://doi.org/10.1109/ICBBE.2008.843

Adaptive time-frequency interbeat. / Lucena, Fausto; Takeuchi, Yoshinori; Ohnishi, Noboru et al.
2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008. IEEE Computer Society, 2008. p. 2056-2059 4535723 (2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Adaptive time-frequency interbeat

AU - Lucena, Fausto

AU - Takeuchi, Yoshinori

AU - Ohnishi, Noboru

AU - Barros, Allan Kardec

AU - Fujiwara, Yoshihiro

PY - 2008

Y1 - 2008

N2 - In this paper, we address the nonstationary problem to analyze the cardiovascular control system based on beat-to-beat heart rate variability (HRV) time series. A novelty information here is to perform HRV time-frequency analysis without "a priori" knowledge of nonstationarity. This is achieved by adaptive interactions that will decompose the HRV signal in sub-signals with well-defined time-frequency parameters. These may be used to reconstruct the signal in sub-bands or might be used in screening tests. To validate our method, we carried out the experiments with both artificial and real HRV intervals. As an application test, we consider a simple case of screening, where experiments with a database consisting of beat-to-beat samples derived from 20 normal and 15 cardiac heart failures (CHF) yielded an overall classification accuracy of 98.33 %.

AB - In this paper, we address the nonstationary problem to analyze the cardiovascular control system based on beat-to-beat heart rate variability (HRV) time series. A novelty information here is to perform HRV time-frequency analysis without "a priori" knowledge of nonstationarity. This is achieved by adaptive interactions that will decompose the HRV signal in sub-signals with well-defined time-frequency parameters. These may be used to reconstruct the signal in sub-bands or might be used in screening tests. To validate our method, we carried out the experiments with both artificial and real HRV intervals. As an application test, we consider a simple case of screening, where experiments with a database consisting of beat-to-beat samples derived from 20 normal and 15 cardiac heart failures (CHF) yielded an overall classification accuracy of 98.33 %.

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Y2 - 16 May 2008 through 18 May 2008

ER -

Adaptive time-frequency interbeat

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