Editorial: engineering approaches to study cardiovascular physiology: modeling, estimation, and signal processing
Name
Chen-2012-Editorial_ engineeri.pdf
Size
284.85 KB
Format
Adobe PDF
Checksum (MD5)
9b3690f65ef43e3eea19cc7a1ba950b5
Author(s)
Chen, Zhe
Barbieri, Riccardo
Date Issued
November 2012
Journal
Frontiers in Physiology
Publisher
Frontiers Research Foundation
Citation
Chen, Zhe, and Riccardo Barbieri. “Editorial: Engineering Approaches to Study Cardiovascular Physiology: Modeling, Estimation, and Signal Processing.” Frontiers in Physiology 3 (2012): Web.
Version
Final published version
Abstract
With cardiovascular diseases being among the main causes of death in the world, quantitative modeling, assessment and monitoring of cardiovascular dynamics, and functioning play a critical role in bringing important breakthroughs to cardiovascular care. Quantification of cardiovascular physiology and its control mechanisms from physiological recordings, by use of mathematical models and algorithms, has been proved to be of important value in understanding the causes of cardiovascular diseases and assisting the diagnostic and prognostic process. This E-Book is derived from the Frontiers in Computational Physiology and Medicine Research Topic entitled “Engineering Approaches to Study Cardiovascular Physiology: Modeling, Estimation and Signal Processing.” Its goal is to bring established experts together in order to present a sample of state-of-the-art studies in cardiovascular physiology, and to give a general idea of the very different approaches that can be adopted to answer the research challenges posed by the varied, complex nature of the cardiovascular system. This book presents 10 contributions, in the form of review and original research articles.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3389/fphys.2012.00425
