MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043511 A) filed by Sree Chaitanya College Of Engineering, Karimnagar, Telangana, on April 6, for 'deep learning of facial depth maps for obstructive sleep apnea prediction.'
Inventor(s) include Mettu Sagar; Puttala Sandhya; Maloth Prathyusha; and Yamsani Ramya.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "Stress levels are rising at an alarming rate in today's society as a direct result of the increased level of competition in both the educational and professional spheres. This stress is a contributing factor in the development of a wide variety of ailments, including obstructive sleep apnea. Relaxation of the tongue and the muscles that line the airway may cause obstructive sleep apnea (OSA), which occurs when there is a recurring blockage in the airway during sleep. Snoring, difficulty sleeping because of choking or gasping for breath, and waking up feeling exhausted are typical symptoms of obstructive sleep apnea (OSA). The OSA diagnosis is time-consuming and expensive, both financially and in terms of lost productivity. Because of this, a significant number of patients continue to go untreated and are uninformed of the nature of their illness. Through a depth map of human face scans, the application of deep learning algorithms is employed to identify the condition. In comparison to a standard 2-D colour pi."
Disclaimer: Curated by HT Syndication.
