Sleep apnea detection from heart rate variability data using a DWPT based technique

Author

Ali, Syeda Quratulain ; Jeoti, Varun ; Khalid, Sohail

Author_Institution

Dept. of Electr. & Electron. Eng., Univ. Technologi PETRONAS, Tronoh, Malaysia

Volume

2

fYear

2012

fDate

12-14 June 2012

Firstpage

622

Lastpage

626

Abstract

Sleep Apnea is a clinical condition related to problematic breathing during the course of sleep. Nocturnal polysomnography (NPSG) is the traditional method to detect sleep apnea but it is costly and inconvenient. Research directions are turning towards signal processing based sleep apnea detection. This study focuses on a simple, fast and memory efficient method for detection of sleep apnea using Electrocardiogram (ECG) data from MIT online database. Discrete wavelet packet transform (DWPT) has been employed on RRI intervals (RRI), in band of interest (FOI) to highlight the frequency pattern differences in normal and abnormal cases. Cases based classification is 100% accurate.

Keywords

discrete wavelet transforms; electrocardiography; information retrieval systems; medical signal processing; pneumodynamics; signal classification; sleep; ECG; MIT online database; RRI intervals; band-of-interest; breathing; cases based classification; discrete wavelet packet transform; electrocardiogram; frequency pattern differences; heart rate variability data; nocturnal polysomnography; signal processing; sleep apnea detection; Accuracy; Cardiology; Computers; Electrocardiography; Heart rate variability; Sensitivity; Sleep apnea;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent and Advanced Systems (ICIAS), 2012 4th International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4577-1968-4

Type

conf

DOI

10.1109/ICIAS.2012.6306089

Filename

6306089