Diagnosis of Sleep Apnea Disease with ECG, SPO2 Through Using of Fuzzy Neural Network

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Year:
2015
Type of Publication:
Article
Keywords:
Sleep Apnea, Fuzzy Neural Network, PCA, ECG, SPO2
Authors:
Behzad Ebrahimnezhad; Ahmad Hajipur
Journal:
IJAIM
Volume:
3
Number:
4
Pages:
131-136
Month:
Jan.-Feb.
ISSN:
2320-5121
Abstract:
The aim of this article is to present new method on the basis of fuzzy neural network systems in order to diagnose obstructive sleep Apnea through features of ECG SPO signals. For achieving our aim, we consider two parameters signal namely, the rate of oxygen concentration in blood and relative pressure of blood circulation. Then, we designed fuzzy neural network in Matlab environment and applied patients' information to network. This designed network is diagnosed on the basis of inputs and instructional data. Moreover, it will simulate the prediction of sleep Apnea with high accuracy.
Full text: IJAIM-397_final.pdf

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