Detecting pediatric obstructive sleep apnea using ECG

Yachuan Pu, Robert Patterson, Michel C. Bornemann

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Heart rate variability (HRV), Atrioventricular conduction (PR), and ECG-derived respiration (EDR) were studied retrospectively on nine pediatric polysomnography (PSG) files for obstructive sleep apnea. Signals were extracted from the first half of overnight ECG from PSG files. A five-epoch (150s) window segmented each signal into OSA contaminated or normal breathing sections without overlap according to the physician's documented diagnosis. Standard HRV parameters such as mean, standard deviation, VLF, LF, HF and LF/HF were analyzed for each HRV segment; mean and standard deviation were studied for each PR segment; frequency and amplitude of respiration peak were studied for each EDR segment. Results showed significant difference (p<0.001) for HF, LF/HF, PR standard deviation and EDR parameters between normal breathing segments and OSA contaminated segments in each OSA patient. Cyclic variation of heart rate (CVHR) was found only in OSA patients.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
EditorsR.S. Leder
Pages342-345
Number of pages4
Volume1
StatePublished - 2003
EventA New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico
Duration: Sep 17 2003Sep 21 2003

Other

OtherA New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CountryMexico
CityCancun
Period9/17/039/21/03

Keywords

  • AV conduction
  • EDR
  • HRV
  • Pediatric sleep apnea

Fingerprint Dive into the research topics of 'Detecting pediatric obstructive sleep apnea using ECG'. Together they form a unique fingerprint.

Cite this