A New Approach for Identifying Patients with Obstructive Sleep Apnea Using K-Nearest Neighbor Classification

• Published in: E-Health and Bioengineering Conference (Online) pp. 1 - 4
• Main Author: Sani, Shahrokh
• Format: Conference Proceeding
• Language: English
• Published: IEEE 18.11.2021
• Subjects: Biomedical Signal Processing; Biotechnology; Classification algorithms; ECG; Electrocardiography; K-Nearest Neighbor (KNN); Machine Learning; Power measurement; Sensors; Signal processing algorithms; Sleep apnea; Supervised learning

Obstructive Sleep Apnea (OSA) is a common health issue in the United States. It is defined as the repeated blockage of the upper airway, which causes the interruption of breathing during sleep. According to the Frost and Sullivan calculation, the annual economic cost of undiagnosed sleep apnea is ap...