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Identification of onset, maximum and termination of obstructive sleep apnoea events in single lead ECG recordings

Version 2 2024-06-04, 04:19
Version 1 2015-08-18, 16:03
conference contribution
posted on 2024-06-04, 04:19 authored by Chandan KarmakarChandan Karmakar, AH Khandoker, M Palaniswami
Measuring the Apnoea Hypopnoea Index (AHI) is important for determining the severity of any apnoea patient. This study presents a method of screening each apnoea event separately based on the single lead Electrocardiogram (EGG) signal. The whole ECG of a subject was divided into Normal, Onset, OSA-maximum and Termination epochs with length of 5 seconds. PSD analysis was used for determining the features directly from the ECG. ROC area was calculated to determine the discrimination capability of each feature (or power in each frequency bin) found by PSD analysis. The maximum ROC area found between Normal vs. OSA-maximum was 0.81 in the frequency range of 52-72 Hz. The ROC area and significant frequency band for Normal vs. Onset and Normal vs. Termination were 0.78, 0.78 and 57-65 Hz, 52-66 Hz respectively. © 2008 IEEE.

History

Pagination

1072-1075

Location

Vancouver, Canada

Start date

2008-08-20

End date

2008-08-24

ISBN-13

9781424418152

Language

eng

Publication classification

EN.1 Other conference paper

Title of proceedings

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Event

30th Annual International IEEE EMBS Conference

Publisher

IEEE

Place of publication

Piscataway, N.J.

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