Mapping sleep using coupled biological oscillations

Author

Thomas, Robert Joseph ; Mietus, J.E.

Author_Institution

Beth Israel Deaconess Med. Center, Boston, MA, USA

fYear

2011

fDate

Aug. 30 2011-Sept. 3 2011

Firstpage

1479

Lastpage

1482

Abstract

Sleep and wake state have different influences on a variety of recordable signals that make up the polysomnogram. Conventional sleep stages are dependent on analysis of electroencephalogram (EEG) waveforms. Non-EEG approaches can provide a different view of sleep. One such example is the electrocardiogram (ECG) derived sleep spectrogram, which computes the coupling and coherence of heart rate variability and respiratory tidal volume influences on the ECG R wave. Novel insights into sleep physiology and pathology are available through this technique.

Keywords

electrocardiography; electroencephalography; haemodynamics; neurophysiology; pneumodynamics; sleep; ECG R wave; EEG; biological oscillation; electrocardiogram; electroencephalogram; heart rate variability; polysomnogram; respiratory tidal volume; sleep mapping; sleep pathology; sleep physiology; sleep spectrogram; sleep stage; wake state; Coherence; Couplings; Heart; Oscillators; Sleep apnea; Spectrogram; Algorithms; Biological Clocks; Heart Rate; Humans; Polysomnography; Reproducibility of Results; Respiratory Mechanics; Sensitivity and Specificity; Sleep; Sleep Apnea Syndromes;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE

Conference_Location

Boston, MA

ISSN

1557-170X

Print_ISBN

978-1-4244-4121-1

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2011.6090361

Filename

6090361