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Related Experiment Videos

A simple method to identify sleep apnea using Holter recordings.

Phyllis K Stein1, Stephen P Duntley, Peter P Domitrovich

  • 1Cardiovascular Division, Washington University School of Medicine, St. Louis, Missouri 63108, USA. pstein@im.wustl.edu

Journal of Cardiovascular Electrophysiology
|June 5, 2003
PubMed
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Simple heart rate tachograms from ECGs can identify sleep apnea syndrome. This method offers high accuracy for detecting sleep disturbances, even without major autonomic dysfunction.

Area of Science:

  • Cardiology
  • Sleep Medicine
  • Autonomic Nervous System Function

Background:

  • Sleep apnea syndrome often goes undiagnosed despite severe health consequences.
  • Apneas trigger autonomic arousals and cyclic heart rate variations (CVHR).

Purpose of the Study:

  • To investigate if simple heart rate (HR) tachograms from ECG monitoring can identify sleep apnea syndrome.
  • To correlate HR tachogram patterns with sleep apnea severity.

Main Methods:

  • Generated HR tachograms from 57 digitized ECGs during overnight polysomnography.
  • Analyzed CVHR duration, amplitude, and regularity.
  • Classified tachograms as having visible HR changes or being flat.
  • Correlated tachogram findings with apnea-hypopnea index (AHI).

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Main Results:

  • Longer CVHR durations (> or = 20%) showed 86% positive predictive accuracy for significant sleep apnea syndrome.
  • Excluding flat tachograms, shorter CVHR (< 20%) had 100% negative predictive accuracy.
  • All patients with > 36 min high-amplitude CVHR had significant obstructive sleep apnea.

Conclusions:

  • HR tachogram patterns from ambulatory ECGs offer a simple method for sleep apnea syndrome identification.
  • This technique is effective for detecting sleep disturbances in patients without major autonomic dysfunction.