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Authors: Yashar Maali and Adel Al-Jumaily

Affiliation: University of Technology and Sydney (UTS), Australia

Keyword(s): Sleep Apnea, Neural Networks, Prediction.

Related Ontology Subjects/Areas/Topics: EMG Signal Processing and Applications ; Health Engineering and Technology Applications ; NeuroSensing and Diagnosis ; Neurotechnology, Electronics and Informatics ; Real Time Monitoring of Neural Activity

Abstract: Sleep apnea (SA) is the most important and common component of sleep disorders which has several short term and long term side effects on health. There are several studies on automated SA detection but not too much works have been done on SA prediction. This paper discusses the application of artificial neural net-works (ANNs) to predict sleep apnea. Three types of neural networks were investigated: Elman, cascade-forward and feed-forward back propagation. We assessed the performance of the models using the Receiver Operating Characteristic (ROC) curve, particularly the area under the ROC curves (AUC), and statistically compare the cross validated estimate of the AUC of different models. Based on the obtained results, generally cascade-forward model results are better with average of AUC around 80%.

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Paper citation in several formats:
Maali, Y. and Al-Jumaily, A. (2013). Comparison of Neural Networks for Prediction of Sleep Apnea. In Proceedings of the International Congress on Neurotechnology, Electronics and Informatics - NEUROTECHNIX; ISBN 978-989-8565-80-8, SciTePress, pages 60-64. DOI: 10.5220/0004701400600064

@conference{neurotechnix13,
author={Yashar Maali. and Adel Al{-}Jumaily.},
title={Comparison of Neural Networks for Prediction of Sleep Apnea},
booktitle={Proceedings of the International Congress on Neurotechnology, Electronics and Informatics - NEUROTECHNIX},
year={2013},
pages={60-64},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004701400600064},
isbn={978-989-8565-80-8},
}

TY - CONF

JO - Proceedings of the International Congress on Neurotechnology, Electronics and Informatics - NEUROTECHNIX
TI - Comparison of Neural Networks for Prediction of Sleep Apnea
SN - 978-989-8565-80-8
AU - Maali, Y.
AU - Al-Jumaily, A.
PY - 2013
SP - 60
EP - 64
DO - 10.5220/0004701400600064
PB - SciTePress

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