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KRÁLÍK, M. KOZUMPLÍK, J.
Original Title
Sleep Apnea Detection Using Single Lead ECG Respiration Estimates
Type
conference paper
Language
English
Original Abstract
This article is dealing with problematics of sleep apnea syndrome and its diagnostics. It briefly summarizes two main types of sleep apnea and their distinctive features visible on polysomnographic signal. Using Physionet database as a source of data, one of the alternative approaches of sleep apnea detection is utilized, using respiration sinus arrhythmia (RSA) method of respiration estimate and single lead electrocardiography (ECG) signal. Multiple classification methods are utilized for comparison with overall accuracy over 80 % achieved.
Keywords
ECG estimated respiration (EDR), respiration sinus arrhythmia (RSA), sleep apnea classification
Authors
KRÁLÍK, M.; KOZUMPLÍK, J.
Released
5. 10. 2018
Publisher
Technická univerzita v Košiciach
Location
Košice
ISBN
978-80-8086-271-8
Book
YBERC 2018 International Conference Proceedings
Pages from
1
Pages to
5
Pages count
URL
http://www.yberc.sk/2018/
BibTex
@inproceedings{BUT150353, author="Martin {Králík} and Jiří {Kozumplík}", title="Sleep Apnea Detection Using Single Lead ECG Respiration Estimates", booktitle="YBERC 2018 International Conference Proceedings", year="2018", pages="1--5", publisher="Technická univerzita v Košiciach", address="Košice", isbn="978-80-8086-271-8", url="http://www.yberc.sk/2018/" }