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Estimation of Apnea-Hypopnea Index in Sleep Breathing Disorders with the Use of Artificial Neural Networks

  • Tomasz WalczakEmail author
  • Renata Ferduła
  • Martyna Michałowska
  • Jakub Krzysztof Grabski
  • Szczepan Cofta
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 925)

Abstract

Sleep Apnea Syndrome (SAS) becomes an important medical and social problem of contemporary societies. It is burdensome, it can be dangerous to health and even cause of death. The most efficient way to detect this syndrome is polysomnography. It gives good results but it is expensive and not commonly available. Main aim of this study is to present another, easier and cheaper way to detect SAS. Proposed method is based on prediction of sleep state using only oximetry and heart rate. The Artificial Neural Network (ANN) algorithm to predict time series was introduced. These networks were used to detect apneas and hypopneas to support diagnose of SAS and to detect whether patient sleeps or not. All data needed to train and test ANN were collected in sleep laboratory for a group of five considered patients with diagnosed SAS. The presented in this work results show that it is possible to predict apneas during sleep with high rate of accuracy, just with use of information about heart rate and blood oxygen saturation. It means that presented method could be effective to diagnose this disease using only simple device with implemented ANN.

Keywords

Sleep apnea Artificial neural network Polysomnography 

Notes

Acknowledgements

The presented research results were funded with the grant 02/21/DSPB/3513 allocated by the Ministry of Science and Higher Education in Poland.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Tomasz Walczak
    • 1
    Email author
  • Renata Ferduła
    • 1
  • Martyna Michałowska
    • 1
  • Jakub Krzysztof Grabski
    • 1
  • Szczepan Cofta
    • 2
  1. 1.Institute of Applied Mechanics, Faculty of Mechanical Engineering and ManagementPoznań University of TechnologyPoznańPoland
  2. 2.Department of Pulmonology, Allergology and Respiratory OncologyPoznań University of Medical SciencesPoznańPoland

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