Detection of Obstructive Sleep Apnea Using Width and Gradient of QRS Complex With Discriminant Analysis
Aida Noor Indrawati, Nuryani, Anto Satriyo Nugroho, Friescha Septiyani
Available Online 11 October 2020.
- https://doi.org/10.2991/assehr.k.201010.010How to use a DOI?
- OSA, discriminant analysis, QRS complex, electrocardiographic, gradient
- 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.
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 - Proceedings of 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 -