RT info:eu-repo/semantics/article
T1 Assessment of Time and Frequency Domain Entropies to Detect Sleep Apnoea in Heart Rate Variability Recordings from Men and Women
A1 Gutiérrez Tobal, Gonzalo César
A1 Álvarez González, Daniel
A1 Gómez Pilar, Javier
A1 Campo Matias, Félix del
A1 Hornero Sánchez, Roberto
K1 sleep apnoea
AB Heart rate variability (HRV) provides useful information about heart dynamicsboth under healthy and pathological conditions. Entropy measures have shown their utilityto characterize these dynamics. In this paper, we assess the ability of spectral entropy (SE)and multiscale entropy (MsE) to characterize the sleep apnoea-hypopnea syndrome (SAHS)in HRV recordings from 188 subjects. Additionally, we evaluate eventual differences inthese analyses depending on the gender. We found that the SE computed from the very lowfrequency band and the low frequency band showed ability to characterize SAHS regardlessthe gender; and that MsE features may be able to distinguish gender specificities. SE andMsE showed complementarity to detect SAHS, since several features from both analyseswere automatically selected by the forward-selection backward-elimination algorithm.Finally, SAHS was modelled through logistic regression (LR) by using optimum sets ofselected features. Modelling SAHS by genders reached significant higher performance thandoing it in a jointly way. The highest diagnostic ability was reached by modelling SAHS inwomen. The LR classifier achieved 85.2% accuracy (Acc) and 0.951 area under the ROCcurve (AROC). LR for men reached 77.6% Acc and 0.895 AROC, whereas LR for the whole set reached 72.3% Acc and 0.885 AROC. Our results show the usefulness of the SE and MsEanalyses of HRV to detect SAHS, as well as suggest that, when using HRV, SAHS may bemore accurately modelled if data are separated by gender.
PB MDPI
SN ISSN 1099-4300
YR 2015
FD 2015
LK http://uvadoc.uva.es/handle/10324/21529
UL http://uvadoc.uva.es/handle/10324/21529
LA eng
NO Entropy  2015, 17, p. 123-141
NO Producción Científica
DS UVaDOC
RD 27-nov-2024