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Mathematical Problems in Engineering
Volume 2010, Article ID 102581, 27 pages
Research Article

Blind Deconvolution of the Aortic Pressure Waveform Using the Malliavin Calculus

1Lincoln Laboratory, MIT, Lexington, MA, USA
2Department of Biomedical Engineering and Systems, Faculty of Engineering, Cairo University, Giza, Egypt
3Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, Egypt

Received 18 June 2010; Accepted 18 July 2010

Academic Editor: Ming Li

Copyright © 2010 Ahmed S. Abutaleb et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Ming Li, and Wei Zhao, “Asymptotic Identity in Min-Plus Algebra: A Report on CPNS,” Computational and Mathematical Methods in Medicine, vol. 2012, pp. 1–11, 2012. View at Publisher · View at Google Scholar
  • Zahra Ghasemi, Eric Ginsberg, Chang-Sei Kim, John Duell, Anuj Gupta, and Jin-Oh Hahn, “Estimation of central aortic blood pressure from non-invasive cuff pressure oscillation signals via system identification,” ASME 2016 Dynamic Systems and Control Conference, DSCC 2016, vol. 1, 2016. View at Publisher · View at Google Scholar
  • Zahra Ghasemi, Chang-Sei Kim, Jin-Oh Hahn, Eric Ginsberg, and Anuj Gupta, “Model-Based Blind System Identification Approach to Estimation of Central Aortic Blood Pressure Waveform from Noninvasive Diametric Circulatory Signals,” Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, vol. 139, no. 6, 2017. View at Publisher · View at Google Scholar