Point-process high-resolution representations of heartbeat dynamics for multiscale analysis: A CHF survivor prediction study

G. Valenza, H. Wendt, K. Kiyono, J. Hayano, E. Watanabe, Y. Yamamoto, P. Abry, R. Barbieri

研究成果: Conference contribution

2 引用 (Scopus)

抄録

Multiscale analysis of human heartbeat dynamics has been proved effective in characterizeing cardiovascular control physiology in health and disease. However, estimation of multiscale properties can be affected by the interpolation procedure used to preprocess the unevenly sampled R-R intervals derived from the ECG. To this extent, in this study we propose the estimation of wavelet coefficients and wavelet leaders on the output of inhomogeneous point process models of heartbeat dynamics. The RR interval series is modeled using probability density functions (pdfs) characterizing and predicting the time until the next heartbeat event occurs, as a linear function of the past history. Multiscale analysis is then applied to the pdfs' instantaneous first order moment. The proposed approach is tested on experimental data gathered from 57 congestive heart failure (CHF) patients by evaluating the recognition accuracy in predicting survivor and non-survivor patients, and by comparing performances from the informative point-process based interpolation and non-informative spline-based interpolation. Results demonstrate that multiscale analysis of point-process high-resolution representations achieves the highest prediction accuracy of 65.45%, proving our method as a promising tool to assess risk prediction in CHF patients.

元の言語English
ホスト出版物のタイトル2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
出版者Institute of Electrical and Electronics Engineers Inc.
ページ1951-1954
ページ数4
ISBN(電子版)9781424492718
DOI
出版物ステータスPublished - 04-11-2015
イベント37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy
継続期間: 25-08-201529-08-2015

出版物シリーズ

名前Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2015-November
ISSN(印刷物)1557-170X

Other

Other37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
Italy
Milan
期間25-08-1529-08-15

Fingerprint

Survivors
Interpolation
Heart Failure
Probability density function
Cardiovascular Physiological Phenomena
Physiology
Electrocardiography
Splines
Health

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

これを引用

Valenza, G., Wendt, H., Kiyono, K., Hayano, J., Watanabe, E., Yamamoto, Y., ... Barbieri, R. (2015). Point-process high-resolution representations of heartbeat dynamics for multiscale analysis: A CHF survivor prediction study. : 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 (pp. 1951-1954). [7318766] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; 巻数 2015-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2015.7318766
Valenza, G. ; Wendt, H. ; Kiyono, K. ; Hayano, J. ; Watanabe, E. ; Yamamoto, Y. ; Abry, P. ; Barbieri, R. / Point-process high-resolution representations of heartbeat dynamics for multiscale analysis : A CHF survivor prediction study. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1951-1954 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).
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abstract = "Multiscale analysis of human heartbeat dynamics has been proved effective in characterizeing cardiovascular control physiology in health and disease. However, estimation of multiscale properties can be affected by the interpolation procedure used to preprocess the unevenly sampled R-R intervals derived from the ECG. To this extent, in this study we propose the estimation of wavelet coefficients and wavelet leaders on the output of inhomogeneous point process models of heartbeat dynamics. The RR interval series is modeled using probability density functions (pdfs) characterizing and predicting the time until the next heartbeat event occurs, as a linear function of the past history. Multiscale analysis is then applied to the pdfs' instantaneous first order moment. The proposed approach is tested on experimental data gathered from 57 congestive heart failure (CHF) patients by evaluating the recognition accuracy in predicting survivor and non-survivor patients, and by comparing performances from the informative point-process based interpolation and non-informative spline-based interpolation. Results demonstrate that multiscale analysis of point-process high-resolution representations achieves the highest prediction accuracy of 65.45{\%}, proving our method as a promising tool to assess risk prediction in CHF patients.",
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Valenza, G, Wendt, H, Kiyono, K, Hayano, J, Watanabe, E, Yamamoto, Y, Abry, P & Barbieri, R 2015, Point-process high-resolution representations of heartbeat dynamics for multiscale analysis: A CHF survivor prediction study. : 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015., 7318766, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 巻. 2015-November, Institute of Electrical and Electronics Engineers Inc., pp. 1951-1954, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy, 25-08-15. https://doi.org/10.1109/EMBC.2015.7318766

Point-process high-resolution representations of heartbeat dynamics for multiscale analysis : A CHF survivor prediction study. / Valenza, G.; Wendt, H.; Kiyono, K.; Hayano, J.; Watanabe, E.; Yamamoto, Y.; Abry, P.; Barbieri, R.

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1951-1954 7318766 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; 巻 2015-November).

研究成果: Conference contribution

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AU - Valenza, G.

AU - Wendt, H.

AU - Kiyono, K.

AU - Hayano, J.

AU - Watanabe, E.

AU - Yamamoto, Y.

AU - Abry, P.

AU - Barbieri, R.

PY - 2015/11/4

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N2 - Multiscale analysis of human heartbeat dynamics has been proved effective in characterizeing cardiovascular control physiology in health and disease. However, estimation of multiscale properties can be affected by the interpolation procedure used to preprocess the unevenly sampled R-R intervals derived from the ECG. To this extent, in this study we propose the estimation of wavelet coefficients and wavelet leaders on the output of inhomogeneous point process models of heartbeat dynamics. The RR interval series is modeled using probability density functions (pdfs) characterizing and predicting the time until the next heartbeat event occurs, as a linear function of the past history. Multiscale analysis is then applied to the pdfs' instantaneous first order moment. The proposed approach is tested on experimental data gathered from 57 congestive heart failure (CHF) patients by evaluating the recognition accuracy in predicting survivor and non-survivor patients, and by comparing performances from the informative point-process based interpolation and non-informative spline-based interpolation. Results demonstrate that multiscale analysis of point-process high-resolution representations achieves the highest prediction accuracy of 65.45%, proving our method as a promising tool to assess risk prediction in CHF patients.

AB - Multiscale analysis of human heartbeat dynamics has been proved effective in characterizeing cardiovascular control physiology in health and disease. However, estimation of multiscale properties can be affected by the interpolation procedure used to preprocess the unevenly sampled R-R intervals derived from the ECG. To this extent, in this study we propose the estimation of wavelet coefficients and wavelet leaders on the output of inhomogeneous point process models of heartbeat dynamics. The RR interval series is modeled using probability density functions (pdfs) characterizing and predicting the time until the next heartbeat event occurs, as a linear function of the past history. Multiscale analysis is then applied to the pdfs' instantaneous first order moment. The proposed approach is tested on experimental data gathered from 57 congestive heart failure (CHF) patients by evaluating the recognition accuracy in predicting survivor and non-survivor patients, and by comparing performances from the informative point-process based interpolation and non-informative spline-based interpolation. Results demonstrate that multiscale analysis of point-process high-resolution representations achieves the highest prediction accuracy of 65.45%, proving our method as a promising tool to assess risk prediction in CHF patients.

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Valenza G, Wendt H, Kiyono K, Hayano J, Watanabe E, Yamamoto Y その他. Point-process high-resolution representations of heartbeat dynamics for multiscale analysis: A CHF survivor prediction study. : 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1951-1954. 7318766. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/EMBC.2015.7318766