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  1. Medical and Biological Engineering and Computing
  2. Medical and Biological Engineering and Computing : Volume 46
  3. Medical and Biological Engineering and Computing : Volume 46, Issue 4, April 2008
  4. On arousal from sleep: time-frequency analysis
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Medical and Biological Engineering and Computing : Volume 55
Medical and Biological Engineering and Computing : Volume 54
Medical and Biological Engineering and Computing : Volume 53
Medical and Biological Engineering and Computing : Volume 52
Medical and Biological Engineering and Computing : Volume 51
Medical and Biological Engineering and Computing : Volume 50
Medical and Biological Engineering and Computing : Volume 49
Medical and Biological Engineering and Computing : Volume 48
Medical and Biological Engineering and Computing : Volume 47
Medical and Biological Engineering and Computing : Volume 46
Medical and Biological Engineering and Computing : Volume 46, Issue 12, December 2008
Medical and Biological Engineering and Computing : Volume 46, Issue 11, November 2008
Medical and Biological Engineering and Computing : Volume 46, Issue 10, October 2008
Medical and Biological Engineering and Computing : Volume 46, Issue 9, September 2008
Medical and Biological Engineering and Computing : Volume 46, Issue 8, August 2008
Medical and Biological Engineering and Computing : Volume 46, Issue 7, July 2008
Medical and Biological Engineering and Computing : Volume 46, Issue 6, June 2008
Medical and Biological Engineering and Computing : Volume 46, Issue 5, May 2008
Medical and Biological Engineering and Computing : Volume 46, Issue 4, April 2008
Analysis of swallowing sounds using hidden Markov models
Detection of compressed tracheal sound patterns with large amplitude variation during sleep
Radial basis function classifiers to help in the diagnosis of the obstructive sleep apnoea syndrome from nocturnal oximetry
A new method for determining lumbar spine motion using Bayesian belief network
On arousal from sleep: time-frequency analysis
Usage of a novel, similarity-based weighting method to diagnose atherosclerosis from carotid artery Doppler signals
Multi-plug insole design to reduce peak plantar pressure on the diabetic foot during walking
The change of response of ionization chambers in the penumbra and transmission regions: impact for IMRT verification
Correlation between signal-to-noise ratios and region of interest sensitivity ratios of bipolar EEG measurements
The semantic extension and storage of EECP Hemodynamic Waveforms based on DICOM Standard
Integrated physiological flow simulator and pulse sequence monitoring system for MRI
Medical and Biological Engineering and Computing : Volume 46, Issue 3, March 2008
Medical and Biological Engineering and Computing : Volume 46, Issue 2, February 2008
Medical and Biological Engineering and Computing : Volume 46, Issue 1, January 2008
Medical and Biological Engineering and Computing : Volume 45
Medical and Biological Engineering and Computing : Volume 44
Medical and Biological Engineering and Computing : Volume 43
Medical and Biological Engineering and Computing : Volume 42
Medical and Biological Engineering and Computing : Volume 41
Medical and Biological Engineering and Computing : Volume 40
Medical and Biological Engineering and Computing : Volume 39
Medical and Biological Engineering and Computing : Volume 38
Medical and Biological Engineering and Computing : Volume 37
Medical and Biological Engineering and Computing : Volume 36
Medical and Biological Engineering and Computing : Volume 35

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On arousal from sleep: time-frequency analysis

Content Provider SpringerLink
Author Mendez, M. O. Bianchi, A. M. Monta, N. Patru, V. Gil, E. Mantaras, C. Aiolfi, S. Cerutti, S.
Copyright Year 2008
Abstract Time-frequency analysis of the heart rate variability during arousal from sleep, with and without EMG activation, coming from five obese healthy subjects was performed. Additionally, a comparative analysis of three time-frequency distributions, smooth pseudo Wigner–Ville (SPWVD), Choi–Williams (CWD) and Born–Jordan distribution (BJD) is presented in this study. SPWVD showed higher capacity for eliminating the cross terms independently of the signal. After applying Hilbert transformation to real signals BJD and CWD lost some important mathematic properties as marginals, on the contrary PSWVD remains unchanged. BJD showed results comparable with CWD. During arousal episodes, analogous energy distribution and spectral indexes were obtained by the three time-frequency representations. Arousals with chin activity presented stronger changes in RR intervals and LF (related to sympathetic activity) component, being statistically different with respect to arousal without chin activity, only around the period of maximum change in β activity on the EEG. These results suggest a more evident stress for the heart when an arousal is related to external muscular activity.
Starting Page 341
Ending Page 351
Page Count 11
File Format PDF
ISSN 01400118
Journal Medical and Biological Engineering and Computing
Volume Number 46
Issue Number 4
e-ISSN 17410444
Language English
Publisher Springer-Verlag
Publisher Date 2008-02-12
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Heart rate variability Arousal from sleep Time-frequency distributions Sleep fragmentation Autonomic nervous system Neurosciences Computer Applications Imaging Radiology Human Physiology Biomedical Engineering
Content Type Text
Resource Type Article
Subject Biomedical Engineering Computer Science Applications
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