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Apnoea detection: human performance and reliability of a computer algorithm

P M Macey1, R P Ford, P J Brown

  • 1Department of Electrical and Electronic Engineering, University of Canterbury, Christchurch, New Zealand.

Acta Paediatrica (Oslo, Norway : 1992)
|October 1, 1995
PubMed
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Human experts showed 10% disagreement in recognizing infant apnoea. Computer detection was accurate but could not fully replace human expert analysis for breathing pauses.

Area of Science:

  • Pediatric Sleep Medicine
  • Respiratory Physiology
  • Biomedical Signal Processing

Background:

  • Apnoea detection in infants is crucial for diagnosing sleep-related breathing disorders.
  • Variability in human expert interpretation can affect diagnostic accuracy.
  • Automated detection methods are being developed to improve consistency.

Purpose of the Study:

  • To evaluate the inter-observer agreement among human experts in identifying infant apnoea.
  • To assess the performance of a computer algorithm in detecting apnoea from a single breathing signal.
  • To compare the accuracy of computer-based apnoea detection with human expert recognition.

Main Methods:

  • Three human experts independently analyzed overnight sleep study breathing waveforms from 10 infants (3-17 weeks old).

Related Experiment Videos

  • Apnoeas of 5 seconds or longer were identified and reviewed.
  • A computer algorithm analyzed signal statistics to detect breathing pauses.

    • Main Results:

    • Human experts exhibited a 10% disagreement rate in apnoea identification.
    • The computer algorithm achieved 1% missed apnoeas and 29% false detections compared to expert consensus.
    • The algorithm reliably detected most apnoeas but did not fully replicate human expert judgment.

    Conclusions:

    • While computer algorithms show promise in apnoea detection, human expert interpretation remains essential.
    • Further refinement of automated systems is needed to match the nuanced recognition capabilities of human experts.
    • Inter-observer reliability in infant apnoea diagnosis requires careful consideration.