Transfer Learning Based Prediction Model for Obstructive Sleep Apnea from Facial Depth Maps

Authors

  • Dr. A. Swetha, Syed Junaid, M. Ram Reddy, M. Sandeep, G. Mahesh

Keywords:

Obstructive Sleep Apnea (OSA), Stress-related disorders, VGG-19, Depth map imaging, 3D face scan.

Abstract

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).

References

B. Lam, M. Ip, E. Tench, and C. Ryan, “Craniofacial profile in asian and white subjects with obstructive sleep apnoea,” Thorax, vol. 60, no. 6, pp. 504–510, 2005.

J. E. Barrera, C. Y. Pau, V.-I. Forest, A. B. Holbrook, and G. R. Popelka, “Anatomic measures of upper airway structures in obstructive sleep apnea,” World journal of otorhinolaryngology-head and neck surgery, vol. 3, no. 2, pp. 85–91, 2017.

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Published

2024-04-23

How to Cite

Dr. A. Swetha, Syed Junaid, M. Ram Reddy, M. Sandeep, G. Mahesh. (2024). Transfer Learning Based Prediction Model for Obstructive Sleep Apnea from Facial Depth Maps. Journal of Computational Analysis and Applications (JoCAAA), 34(4), 574–588. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2340

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