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Sensors • Vol 23 • No 10
Efficient Deep Learning Based Hybrid Model to Detect Obstructive Sleep Apnea
May 2023 • Prashant Hemrajani, Vijaypal Singh Dhaka, Geeta Rani, Praveen Kumar Shukla, Durga Prasad Bavirisetti
An increasing number of patients and a lack of awareness about obstructive sleep apnea is a point of concern for the healthcare industry. Polysomnography is recommended by health experts to detect obstructive sleep apnea. The patient is paired up with devices that track patterns and activities during their sleep. Polysomnography, being a complex and expensive process, cannot be adopted by the majority of patients. Therefore, an alternative is required. The researchers devised various machine learning algorithms us…
Polysomnography
Computer Science
Deep Learning
Wearable Computer
Artificial Intelligence
Machine Learning
Medicine
Embedded System
Internal Medicine
Economics
Economic Growth