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Appl. Phys. Lett. 96, 266101 (2010); http://dx.doi.org/10.1063/1.3458811 (2 pages)

Comment on “Network analysis of human heartbeat dynamics” [ Appl. Phys. Lett. 96, 073703 (2010) ]

Zhao Dong and Xiang Li

Adaptive Networks and Control Laboratory, Electronic Engineering Department, Fudan University, Shanghai 200433, People's Republic of China

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(Received 14 April 2010; accepted 9 June 2010; published online 30 June 2010)

Abstract unavailable.

EDITORIALLY RELATED

  1. Network analysis of human heartbeat dynamics
    Zhi-Gang Shao
    Appl. Phys. Lett. 96, 073703 (2010)APPLAB000096000007073703000001

KEYWORDS and PACS

PACS

ARTICLE DATA

PUBLICATION DATA

ISSN

0003-6951 (print)  
1077-3118 (online)

  1. Z. -G. Shao, Appl. Phys. Lett. 96, 073703 (2010)APPLAB000096000007073703000001.
  2. L. Lacasa, B. Luque, F. Ballesteros, J. Luque, and J. C. Nuno, Proc. Natl. Acad. Sci. U.S.A. 105, 4972 (2008). [MEDLINE]
  3. M. E. J. Newman, Phys. Rev. Lett. 89, 208701 (2002). [MEDLINE]
  4. http://www.physionet.org/challenge/chaos/. Is the normal heart rate chaotic? Data for study.
  5. http://www.physionet.org/physiobank/database/nsrdb/.
  6. http://www.physionet.org/physiobank/database/chfdb/.

Figures (click on thumbnails to view enlargements)

FIG.1
The assortative coefficient r of the associated networks for (left) the original time series of the heartbeat interval and (right) the “filtered” time series from the nsrdb and the chfdb. The length of each time series is 10 000.

FIG.1 Download High Resolution Image (.zip file) | Export Figure to PowerPoint

FIG.2
The assortative coefficient r of the associated networks constructed from the “filtered” time series of 15 healthy subjects and 15 CHF subjects in Fig. 1 with the time series length of 5000, 10 000, 20 000, and 50 000, respectively.

FIG.2 Download High Resolution Image (.zip file) | Export Figure to PowerPoint



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