Journal Published Online: 27 January 2023
Volume 51, Issue 5

Classification of Cardiovascular Disease Risk for Patients with Obstructive Sleep Apnea

CODEN: JTEVAB

Abstract

Cardiovascular disease (CVD) is a disorder that affects the heart function and blood vessels, such as coronary heart disease, arrhythmias, heart attack, rheumatic heart disease, stroke, etc. The risks associated with CVD are physical inactivity, improper diet, and smoking and liquor drinking. Some behavioral risk factors include increased blood sugar and blood pressure levels, obesity, stress, and genetic factors. Obstructive sleep apnea (OSA) is a disorder related to sleep respiration that affects blood oxygen concentration and air entering the lungs. It will probably lead to overweight, heart disease, diabetes, stroke, and hypertension. Several kinds of research are being carried out, and they demonstrate the relationship between patients with CVD and those with OSA. The present study uses polysomnography data from the Sleep Heart Health Study and CVD-related physiological data obtained from the National Sleep Research Resource. The data set is preprocessed, and principal component analysis reduction is applied and fed to the ResNet-101 classifier for classifying patients with OSA into three types of coronary heart disease (CHD) is a disorder in which the coronary arteries were blocked and CVD risk groups. After training the proposed network with 80 % of records, accuracy was obtained as 94.87 % for “no risk” and “risk,” with a 95.89 % level of CVD risk among patients with OSA apart from its capability to detect the severity of OSA.

Author Information

Priyadharshini, Rameshkumar
Department of Computer Science and Engineering, Sona College of Technology, Salem, Tamil Nadu, India
Pandiyan, Paulraj Muruges
Department of Computer Science and Engineering, Sri Ramakrishna Institute of Technology, Coimbatore, Tamil Nadu, India
Pages: 21
Price: $25.00
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Details
Stock #: JTE20220277
ISSN: 0090-3973
DOI: 10.1520/JTE20220277