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Estimating sleep time from non-EEG-based PSG signals in the diagnosis of sleep-disordered breathing

  • Sleep Breathing Physiology and Disorders • Original Article
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Abstract

Purpose

The purpose of this study was to use non-EEG PSG signals to estimate TST in order to diagnose SDB with a greater sensitivity than type 3 device methodology that relies on TRT.

Methods

Movement patterns were obtained from the thoracoabdominal signals of adult PSG recordings (n = 60) in the laboratory and the home. Parameters obtained allowed, with 95% certainty, identification of sleep and wake based on the duration of movements and quiescent time (Qd). Snoring, apneas, and hypopneas indicated sleep with 100% certainty. The method was tested in a different set of PSG recordings (n = 80).

Results

Subjects lay awake and immobile for longer in the laboratory (QdLAB = 27.4 (12.1, 62.0), QdHOME = 16.0 s (8.0, 36.0); p < 0.0001) but asleep and immobile for longer at home (QdLAB = 65.2 (23.0, 121.4), QdHOME = 95.0 s (44.5, 247.5); 0.005). Only 5% of wake Qd periods were >173 s in the laboratory and >105 s at home. In both locations, 95% of movements during sleep were <10 s. Experimental TST values were 21 min shorter than EEG-defined TST and, combined with fewer scored respiratory events, produced AHI values that were 1.6 events/h lower than the reference. The experimental TST increased the sensitivity of SDB diagnosis from 73 to 97%.

Conclusions

In the sleep laboratory, subjects are immobile for longer periods when awake and for shorter periods when asleep. The experimental TST was similar to EEG-defined TST and could be used to diagnose SDB with a much higher sensitivity than the type 3 method.

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Authors and Affiliations

  1. David Read Laboratory, University of Sydney, Room 450 Blackburn Building D06, Camperdown, NSW, 2006, Australia

    M. B. Norman & C. E. Sullivan

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  1. M. B. Norman
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  2. C. E. Sullivan
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Correspondence to M. B. Norman.

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Funding

A component of the author’s salaries, provided by the University of Sydney, is directly related to research activities.

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All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers” bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangements), or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Norman, M.B., Sullivan, C.E. Estimating sleep time from non-EEG-based PSG signals in the diagnosis of sleep-disordered breathing. Sleep Breath 21, 657–666 (2017). https://doi.org/10.1007/s11325-017-1468-7

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  • DOI: https://doi.org/10.1007/s11325-017-1468-7

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