Estimating sleep disordered breathing based on heart rate analysis

Penzel, T; Glos, M; Schobel, C; Lal, S; Fietze, I

Estimating sleep disordered breathing based on heart rate analysis

Penzel, T Glos, M Schobel, C Lal, S

Fietze, I

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2013, pp. 6571 - 6574
Issue Date:: 2013-10-31

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Field	Value	Language
dc.contributor.author	Penzel, T	en_US
dc.contributor.author	Glos, M	en_US
dc.contributor.author	Schobel, C	en_US
dc.contributor.author	Lal, S https://orcid.org/0000-0002-0911-0850	en_US
dc.contributor.author	Fietze, I	en_US
dc.date.issued	2013-10-31	en_US
dc.identifier.citation	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2013, pp. 6571 - 6574	en_US
dc.identifier.isbn	9781457702167	en_US
dc.identifier.issn	1557-170X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121071
dc.description.abstract	Heart rate variability and the analysis of the ECG with ECG derived respiration has been used to diagnose sleep disordered breathing. Recently it was possible to distinguish obstructive sleep apnea and central sleep apnea. This can be achieved by analyzing both, heart rate variability and the more mechanically induced ECG derived respiration in parallel. In addition the analysis of cardiopulmonary coupling facilitates to predict the personal risk factor for cardiovascular disorders. The analysis of heart rate, ECG and respiration goes beyond this analysis. Some studies indicate that it is possible to derive sleep stages from these signals. In order to derive sleep stages a more complex analysis of the signals is applied taking into account non-linear properties by using methods of statistical physics. To extract coupling information supports the distinction between sleep stages. Results are reported in this review. © 2013 IEEE.	en_US
dc.relation.ispartof	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS	en_US
dc.relation.isbasedon	10.1109/EMBC.2013.6611061	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Sleep Apnea, Obstructive	en_US
dc.subject.mesh	Diagnosis, Differential	en_US
dc.subject.mesh	Electrocardiography	en_US
dc.subject.mesh	Monitoring, Physiologic	en_US
dc.subject.mesh	Sleep Stages	en_US
dc.subject.mesh	Heart Rate	en_US
dc.subject.mesh	Respiration	en_US
dc.title	Estimating sleep disordered breathing based on heart rate analysis	en_US
dc.type	Conference Proceeding
utslib.for	170205 Neurocognitive Patterns and Neural Networks	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Heart rate variability and the analysis of the ECG with ECG derived respiration has been used to diagnose sleep disordered breathing. Recently it was possible to distinguish obstructive sleep apnea and central sleep apnea. This can be achieved by analyzing both, heart rate variability and the more mechanically induced ECG derived respiration in parallel. In addition the analysis of cardiopulmonary coupling facilitates to predict the personal risk factor for cardiovascular disorders. The analysis of heart rate, ECG and respiration goes beyond this analysis. Some studies indicate that it is possible to derive sleep stages from these signals. In order to derive sleep stages a more complex analysis of the signals is applied taking into account non-linear properties by using methods of statistical physics. To extract coupling information supports the distinction between sleep stages. Results are reported in this review. © 2013 IEEE.

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http://hdl.handle.net/10453/121071