System and method of diagnosing pediatric obstructive sleep apnea

Abstract

One aspect of the present invention is to assess the performance of automated analysis of blood oxygen saturation (SpO2) recordings as a screening tool for OSAHS. As an initial step, statistical, spectral and nonlinear features are estimated to compose an initial feature set. Then, a fast correlation-based filter (FCBF) is next applied to search for the optimum subset. Finally, the discriminationpower of three pattern recognition algorithms is assessed: linear discriminant analysis (LDA), quadratic discriminant analysis (QDA) and logistic regression (LR). According to another aspect of the invention, oximetry is used to determine the OSAHS severity in children. Single-channel Sp02 recordings from 176 children were divided into three severity groups according to the apnea- hypopnea index (AHI): AHI<1 events per hour (e / h), l<AliI<5 e / h, and Alii >= 5 e / h. For testing the severity of OSAHS, first spectral analysis is conducted to define and characterize a frequency band of interest in SpO2. Then the spectral data is combined with 3% oxygen desaturation index (ODI3) by means of a multi-layer perceptron (MLP) neural network, in order to classify children into one of the three OSAHS severity groups.

Description

[0001] priority [0002] This patent application claims the priority of the U.S. Provisional Patent Application No. 62 / 207,780. The filing date of the U.S. Provisional Patent Application is August 20, 2015. This application incorporates the technical solution of this patent. technical field [0003] The present invention relates to methods, systems and devices for sleep apnea monitoring. In particular, it relates to methods, systems and devices for diagnosing and predicting the severity of obstructive sleep apnea-hypopnea syndrome in children using oximetry. Background technique [0004] Obstructive sleep apnea-hypopnea syndrome (OSAHS) is defined by repeated blockage of the upper airway during sleep, resulting in intermittent cessation of breathing (apnea) or decreased airflow (hypopnea). Apnea is accompanied by hypoxemia and bradycardia. Apnea often wakes people up, causes sleep fragmentation, and causes excessive daytime sleepiness. Therefore, OSAHS is considered a maj...

AI Technical Summary

Problems solved by technology

However, it is possible to improve the diagnosis of OSAHS from SpO2 records by using more advanced computer-implemented signal processing methods

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