Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/10492
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lukarski, Dushko | en_US |
dc.contributor.author | Ginovska, Margarita | en_US |
dc.contributor.author | Spasevska, Hristina | en_US |
dc.contributor.author | Stankovski Tomislav | en_US |
dc.date.accessioned | 2021-03-01T11:33:01Z | - |
dc.date.available | 2021-03-01T11:33:01Z | - |
dc.date.issued | 2020-07 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/10492 | - |
dc.description.abstract | The cardiorespiratory interactions are important physiological phenomenon, but often their time-variability makes the analysis difficult. Here we present the results of applying a procedure for optimal determination of the time window and method parameters, based on dynamical Bayesian inference. This was applied on cardiorespiratory measurements of one subject following two different respiration patterns spontaneous free breathing and aperiodic breathing. By investigating the time-variability of cardiorespiratory coupling functions we demonstrate the effectiveness of the method. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Coupling functions | en_US |
dc.subject | Time-frequency analysis | en_US |
dc.subject | Dynamical Bayesian inference | en_US |
dc.title | Time-variability of cardiorespiratory interactions | en_US |
dc.type | Proceeding article | en_US |
dc.relation.conference | 2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) | en_US |
dc.identifier.doi | 10.1109/esgco49734.2020.9158192 | - |
dc.identifier.url | http://xplorestaging.ieee.org/ielx7/9145481/9158009/09158192.pdf?arnumber=9158192 | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Faculty of Electrical Engineering and Information Technologies | - |
crisitem.author.dept | Faculty of Medicine | - |
crisitem.author.dept | Faculty of Electrical Engineering and Information Technologies | - |
crisitem.author.dept | Faculty of Medicine | - |
Appears in Collections: | Faculty of Medicine: Conference papers |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.