Proceedings of the 2nd International Seminar on Science and Technology (ISSTEC 2019)

Detection of Obstructive Sleep Apnea Using Width and Gradient of QRS Complex With Discriminant Analysis

Authors
Aida Noor Indrawati, Nuryani, Anto Satriyo Nugroho, Friescha Septiyani
Corresponding Author
Nuryani
Available Online 11 October 2020.
DOI
https://doi.org/10.2991/assehr.k.201010.010How to use a DOI?
Keywords
OSA, discriminant analysis, QRS complex, electrocardiographic, gradient
Abstract
Obstructive Sleep Apnea (OSA) or breathing problems during sleep causes sudden death from heart failure during sleep. Because of the serious effects of OSA, early OSA detection is important. OSA detection can be developed using an electrocardiogram. In this article, OSA detection is designed using an electrocardiogram with a discriminant analysis method. Inputs for discriminant analysis are examined, namely the width and gradient of the electrocardiographic QRS complex. Different approaches to find the width and gradient are investigated. The performance of the proposed method is examined using clinical data of patients with OSA from the MIT-BIH Apnea-ECG database. The performance is found from 5-fold cross validation. The performance of the detection for a patient achieves 99.99% in terms of accuracy.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
The 2nd International Seminar on Science and Technology (ISSTEC 2019)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
11 October 2020
ISBN
978-94-6239-168-0
ISSN
2352-5398
DOI
https://doi.org/10.2991/assehr.k.201010.010How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Aida Noor Indrawati
AU  - Nuryani
AU  - Anto Satriyo Nugroho
AU  - Friescha Septiyani
PY  - 2020
DA  - 2020/10/11
TI  - Detection of Obstructive Sleep Apnea Using Width and Gradient of QRS Complex With Discriminant Analysis
BT  - The 2nd International Seminar on Science and Technology (ISSTEC 2019)
PB  - Atlantis Press
SP  - 57
EP  - 62
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201010.010
DO  - https://doi.org/10.2991/assehr.k.201010.010
ID  - Indrawati2020
ER  -