Multimodal signal processing for the analysis of cardiovascular variability
Cardiovascular (CV) variability as a primary vital sign carrying information about CV regulation systems is reviewed by pointing out the role of the main rhythms and the various control and functional systems involved. The high complexity of the addressed phenomena fosters a multimodal approach that...
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| Veröffentlicht in: | Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences physical, and engineering sciences, 2009-01, Vol.367 (1887), p.391-409 |
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| container_end_page | 409 |
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| container_issue | 1887 |
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| container_title | Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences |
| container_volume | 367 |
| creator | Porta, Alberto Aletti, Federico Vallais, Frederic Baselli, Giuseppe |
| description | Cardiovascular (CV) variability as a primary vital sign carrying information about CV regulation systems is reviewed by pointing out the role of the main rhythms and the various control and functional systems involved. The high complexity of the addressed phenomena fosters a multimodal approach that relies on data analysis models and deals with the ongoing interactions of many signals at a time. The importance of closed-loop identification and causal analysis is remarked upon and basic properties, application conditions and methods are recalled. The need of further integration of CV signals relevant to peripheral and systemic haemodynamics, respiratory mechanics, neural afferent and efferent pathways is also stressed. |
| doi_str_mv | 10.1098/rsta.2008.0229 |
| format | Article |
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Series A: Mathematical, physical, and engineering sciences</title><addtitle>PHIL TRANS R SOC A</addtitle><description>Cardiovascular (CV) variability as a primary vital sign carrying information about CV regulation systems is reviewed by pointing out the role of the main rhythms and the various control and functional systems involved. The high complexity of the addressed phenomena fosters a multimodal approach that relies on data analysis models and deals with the ongoing interactions of many signals at a time. The importance of closed-loop identification and causal analysis is remarked upon and basic properties, application conditions and methods are recalled. The need of further integration of CV signals relevant to peripheral and systemic haemodynamics, respiratory mechanics, neural afferent and efferent pathways is also stressed.</description><subject>Algorithms</subject><subject>Automatic Data Processing</subject><subject>Baroreflexes</subject><subject>Cardiac output determination</subject><subject>Cardiovascular Diseases - diagnosis</subject><subject>Cardiovascular Regulation</subject><subject>Cardiovascular Variability</subject><subject>Causality</subject><subject>Closed-Loop Identification</subject><subject>Control loops</subject><subject>Data Interpretation, Statistical</subject><subject>Granger's Causality</subject><subject>Heart</subject><subject>Heart rate</subject><subject>Heart Rate Variability</subject><subject>Hemodynamics</subject><subject>Humans</subject><subject>Modeling</subject><subject>Models, Biological</subject><subject>Models, Statistical</subject><subject>Models, Theoretical</subject><subject>Multi-Channel Signal Processing</subject><subject>Multivariate Analysis</subject><subject>Physiological regulation</subject><subject>Respiration</subject><subject>Review</subject><subject>Signal processing</subject><subject>Signal Processing, Computer-Assisted</subject><issn>1364-503X</issn><issn>1471-2962</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkUtvEzEUhUcIRB-wZQeaFbsJ1_b4MStUFcqrCAQFdWc5YztxOomD7QkMvx4nE4oqRFnZ8vnuufceF8UjBBMEjXgWYlITDCAmgHFzpzhENUcVbhi-m--E1RUFcnlQHMW4AECIUXy_OECiqYFzeli8e993yS29Vl0Z3WyVj3XwrYnRrWal9aFMc1Oq_D5EF0tvy1YF7fxGxbbvVCg3Kjg1dZ1Lw4PinlVdNA_353Hx5ezlxenr6vzDqzenJ-dVyxqUKlszYY3lViPNDAVruLZ22miMoNVGTzFXVLSciSnVohGNNQop0IrkKkYFOS6ejr550m-9iUkuXWxN16mV8X2UjHHc1AL9F8RAQCBGMjgZwTb4GIOxch3cUoVBIpDbnOU2Z7nNWW5zzgVP9s79dGn0H3wfbAbICAQ_5Cx860wa5ML3IUcZ_217dVvVp88XJxvCuENCcAmCIGDAKcifbj1aZVG6GHsjd8hN-7-7PR67LWLy4XqHGmpB65plvRp1F5P5ca2rcCUZJ5zKr6KWLxi9_PgWM7n9l-cjP3ez-XcXjLyxxq5761fJrNJu0N2IpEHS9l0n19pmB7jVwQ_r_ZK_a8kvHGPxAg</recordid><startdate>20090128</startdate><enddate>20090128</enddate><creator>Porta, Alberto</creator><creator>Aletti, Federico</creator><creator>Vallais, Frederic</creator><creator>Baselli, Giuseppe</creator><general>The Royal Society</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20090128</creationdate><title>Multimodal signal processing for the analysis of cardiovascular variability</title><author>Porta, Alberto ; Aletti, Federico ; Vallais, Frederic ; Baselli, Giuseppe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c691t-f468fef7fd1d6e50fe7dffb9d210cdedb27a58c768b5d8989fea1a0da3fef6583</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Algorithms</topic><topic>Automatic Data Processing</topic><topic>Baroreflexes</topic><topic>Cardiac output determination</topic><topic>Cardiovascular Diseases - diagnosis</topic><topic>Cardiovascular Regulation</topic><topic>Cardiovascular Variability</topic><topic>Causality</topic><topic>Closed-Loop Identification</topic><topic>Control loops</topic><topic>Data Interpretation, Statistical</topic><topic>Granger's Causality</topic><topic>Heart</topic><topic>Heart rate</topic><topic>Heart Rate Variability</topic><topic>Hemodynamics</topic><topic>Humans</topic><topic>Modeling</topic><topic>Models, Biological</topic><topic>Models, Statistical</topic><topic>Models, Theoretical</topic><topic>Multi-Channel Signal Processing</topic><topic>Multivariate Analysis</topic><topic>Physiological regulation</topic><topic>Respiration</topic><topic>Review</topic><topic>Signal processing</topic><topic>Signal Processing, Computer-Assisted</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Porta, Alberto</creatorcontrib><creatorcontrib>Aletti, Federico</creatorcontrib><creatorcontrib>Vallais, Frederic</creatorcontrib><creatorcontrib>Baselli, Giuseppe</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Philosophical transactions of the Royal Society of London. 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| identifier | ISSN: 1364-503X |
| ispartof | Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences, 2009-01, Vol.367 (1887), p.391-409 |
| issn | 1364-503X 1471-2962 |
| language | eng |
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| source | MEDLINE; JSTOR Mathematics & Statistics; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry |
| subjects | Algorithms Automatic Data Processing Baroreflexes Cardiac output determination Cardiovascular Diseases - diagnosis Cardiovascular Regulation Cardiovascular Variability Causality Closed-Loop Identification Control loops Data Interpretation, Statistical Granger's Causality Heart Heart rate Heart Rate Variability Hemodynamics Humans Modeling Models, Biological Models, Statistical Models, Theoretical Multi-Channel Signal Processing Multivariate Analysis Physiological regulation Respiration Review Signal processing Signal Processing, Computer-Assisted |
| title | Multimodal signal processing for the analysis of cardiovascular variability |
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