NDLI: Estimating sleep disordered breathing based on heart rate analysis

Content Provider	IEEE Xplore Digital Library
Author	Penzel, T. Glos, M. Schobel, C. Lal, S. Fietze, I.
Copyright Year	2013
Description	Author affiliation: Interdiscipl. Sleep Med. Center, Charite Univ.medizin Berlin, Berlin, Germany (Penzel, T.; Glos, M.; Schobel, C.; Fietze, I.) \|\| Neurosci. Res. Unit, Univ. of Technol., Syndey, NSW, Australia (Lal, S.)
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.
Starting Page	6571
Ending Page	6574
File Size	494441
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6611061
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sleep apnea Electrocardiography Heart rate variability Couplings Medical diagnostic imaging
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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