DWPT based sleep apnea detection

Author

Ali, Syeda Qurat-ul-Ain ; Jeoti, Varun

Author_Institution

Dept. of Electron. & Electr. Eng., Univ. Teknol. PETRONAS, Ipoh, Malaysia

fYear

2011

fDate

19-20 Sept. 2011

Firstpage

1

Lastpage

4

Abstract

Sleep Apnea is a clinical condition related to problematic breathing during the course of sleep. Patient faces epochs of less or completely vanished respiratory cycles for more then 15-20 seconds. Traditional methods to detect the ailments are troublesome both in terms of finance and physical routine. This study focuses the effects of sleep apnea on heart rate. MIT-BIH sleep apnea database has been deployed. RR intervals have been derived from ECG data and Discrete Wavelet Packet Transform (DWPT) has been employed to highlight the differences in normal and abnormal cases. An overall accuracy of 85% was achieved by this method.

Keywords

discrete wavelet transforms; electrocardiography; medical disorders; pneumodynamics; sleep; DWPT based sleep apnea detection; ECG data; MIT-BIH sleep apnea database; RR intervals; ailments; discrete wavelet packet transform; finance routine; patient faces epochs; physical routine; problematic breathing; respiratory cycles; Accuracy; Electrocardiography; Sleep apnea; Time series analysis; Wavelet packets; Apnea; DSP; ECG; Respiration;

fLanguage

English

Publisher

ieee

Conference_Titel

National Postgraduate Conference (NPC), 2011

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4577-1882-3

Type

conf

DOI

10.1109/NatPC.2011.6136432

Filename

6136432