Detail publikace

Sleep Apnea Detection Using Single Lead ECG Respiration Estimates

KRÁLÍK, M. KOZUMPLÍK, J.

Originální název

Sleep Apnea Detection Using Single Lead ECG Respiration Estimates

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

ECG estimated respiration (EDR), respiration sinus arrhythmia (RSA), sleep apnea classification

Autoři

KRÁLÍK, M.; KOZUMPLÍK, J.

Vydáno

5. 10. 2018

Nakladatel

Technická univerzita v Košiciach

Místo

Košice

ISBN

978-80-8086-271-8

Kniha

YBERC 2018 International Conference Proceedings

Strany od

1

Strany do

5

Strany počet

5

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/"
}