Editorial: engineering approaches to study cardiovascular physiology: modeling, estimation, and signal processing
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 an...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Frontiers Research Foundation
2013
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| Online Access: | http://hdl.handle.net/1721.1/76725 https://orcid.org/0000-0002-6166-448X |
| _version_ | 1826208257647050752 |
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| author | Chen, Zhe Barbieri, Riccardo |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Chen, Zhe Barbieri, Riccardo |
| author_sort | Chen, Zhe |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T14:03:00Z |
| format | Article |
| id | mit-1721.1/76725 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T14:03:00Z |
| publishDate | 2013 |
| publisher | Frontiers Research Foundation |
| record_format | dspace |
| spelling | mit-1721.1/767252022-10-01T18:47:48Z Editorial: engineering approaches to study cardiovascular physiology: modeling, estimation, and signal processing Chen, Zhe Barbieri, Riccardo Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Barbieri, Riccardo 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. 2013-02-04T21:34:11Z 2013-02-04T21:34:11Z 2012-11 2012-09 Article http://purl.org/eprint/type/JournalArticle 1664-042X http://hdl.handle.net/1721.1/76725 Chen, Zhe, and Riccardo Barbieri. “Editorial: Engineering Approaches to Study Cardiovascular Physiology: Modeling, Estimation, and Signal Processing.” Frontiers in Physiology 3 (2012): Web. https://orcid.org/0000-0002-6166-448X en_US http://dx.doi.org/10.3389/fphys.2012.00425 Frontiers in Physiology 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. application/pdf Frontiers Research Foundation Frontiers Research Foundation |
| spellingShingle | Chen, Zhe Barbieri, Riccardo Editorial: engineering approaches to study cardiovascular physiology: modeling, estimation, and signal processing |
| title | Editorial: engineering approaches to study cardiovascular physiology: modeling, estimation, and signal processing |
| title_full | Editorial: engineering approaches to study cardiovascular physiology: modeling, estimation, and signal processing |
| title_fullStr | Editorial: engineering approaches to study cardiovascular physiology: modeling, estimation, and signal processing |
| title_full_unstemmed | Editorial: engineering approaches to study cardiovascular physiology: modeling, estimation, and signal processing |
| title_short | Editorial: engineering approaches to study cardiovascular physiology: modeling, estimation, and signal processing |
| title_sort | editorial engineering approaches to study cardiovascular physiology modeling estimation and signal processing |
| url | http://hdl.handle.net/1721.1/76725 https://orcid.org/0000-0002-6166-448X |
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