Can I read An Expert System for Automated Recognition of Patients with Obstructive Sleep Apnea Using Electrocardiogram Recordings on EtoBox?

An Expert System for Automated Recognition of Patients with Obstructive Sleep Apnea Using Electrocardiogram Recordings by Abdulnasir Yildiz; Mehmet Akın; Mustafa Poyraz is a Computer Science article available to read on EtoBox.

What is An Expert System for Automated Recognition of Patients with Obstructive Sleep Apnea Using Electrocardiogram Recordings about?

Heart rate variability (HRV) ECG-derived respiration (EDR) Discrete wavelet transform (DWT) Fast-Fourier transform (FFT) Least square support vector machine (LS-SVM) Obstructive sleep apnea (OSA) a b s t r a c t Obstructive sleep apnea (OSA) is a highly prevalent sleep disorder. The traditional diagnosis methods of the disorder are cumbersome and expensive. The ability to automatically identify OSA from electrocardiogram (ECG) recordings is important for clinical diagnosis and treatment. In this study, we proposed an expert system based on discrete wavelet transform (DWT), fast-Fourier transform (FFT) and least squares support vector machine (LS-SVM) for the automatic recognition of patients with OSA from nocturnal ECG recordings. Thirty ECG recordings collected from normal subjects and subjects with sleep apnea, each of approximately 8 h in duration, were used throughout the study. The proposed OSA recognition system comprises three stages. In the first stage, an algorithm based on DWT was used to analyze ECG recordings for the detection of heart rate variability (HRV) and ECG-derived respiration (EDR) changes. In the second stage, an FFT based power spectral density (PSD) method

Who reads An Expert System for Automated Recognition of Patients with Obstructive Sleep Apnea Using Electrocardiogram Recordings?

Author

Abdulnasir Yildiz; Mehmet Akın; Mustafa Poyraz

Publisher

Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0957-4174)

Published

2011

Language

EN

Field

Computer Science (Physical Sciences)