The prediction of mortality from continuous noninvasive cardiovascular signals on standing: entropy was significant, but not the overall response profile
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PosterDate:
2022Access:
openAccessCitation:
Silvin P. Knight, Mark Ward, James Davis, Eoin Duggan, Rose Anne Kenny, Roman Romero-Ortuno, The prediction of mortality from continuous noninvasive cardiovascular signals on standing: entropy was significant, but not the overall response profile, EURASIP Proceedings, 30th European Signal Processing Conference: EUSIPCO 2022, Belgrade, Serbia, 29/08 - 2/09, 2022Download Item:
Abstract:
In this study, a novel approach is presented using
principal component analysis and sample entropy (SampEn) for
the analysis of continuous blood pressure (BP) data measured
non-invasively during an active stand (AS) in a large sample of
older adults. The method allows for the extraction of the bulk
trends from these data in the form of principal components
(PCs), which can be used as independent predictors of outcomes,
and greatly increases the stationarity of the remaining data,
allowing for secondary analyses such as SampEn. The
relationship between AS BP measures (SampEn and first 6 PCs)
and risk of all-cause 8-year mortality was investigated via Cox
proportional hazards regression models in a sample of
community-dwelling older adults (n = 4873, with 209 deaths)
from The Irish Longitudinal Study on Ageing (TILDA). Higher
SampEn in BP signals was found to be a significant predictor of
mortality risk. PC scores, which characterize the overall bulk
changes in response to standing, were not significantly
predictive of mortality when controlling for age, sex, and
educational attainment. The quantification of signal entropy in
continuously measured BP signals during AS could provide a
clinically useful predictor of risk of death.
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https://eurasip.org/Proceedings/Eusipco/Eusipco2022/pdfs/0001298.pdfhttp://hdl.handle.net/2262/101146
Sponsor
Grant Number
Science Foundation Ireland (SFI)
18/FRL/6188
Author's Homepage:
http://people.tcd.ie/romeroorhttp://people.tcd.ie/siknight
http://people.tcd.ie/rkenny
Description:
PUBLISHEDBelgrade, Serbia
Other Titles:
EURASIP Proceedings30th European Signal Processing Conference: EUSIPCO 2022
Type of material:
PosterURI:
https://eurasip.org/Proceedings/Eusipco/Eusipco2022/pdfs/0001298.pdfhttp://hdl.handle.net/2262/101146
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Ageing , Digital EngagementMetadata
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