This paper is published in Volume-5, Issue-2, 2019
Area
IoT And Embedded Systems
Author
Navin R.
Co-authors
Palur Sai Vivek, Pulu Gulla Lakshmi Vineeth, V. Sathya Narayanan, D. Padmapriya M. E.
Org/Univ
Panimalar Institute of Technology, Chennai, Tamil Nadu, India
Pub. Date
03 April, 2019
Paper ID
V5I2-1715
Publisher
Keywords
Obstructive sleep apnea diagnosis, SAHS, Sleep studies

Citationsacebook

IEEE
Navin R., Palur Sai Vivek, Pulu Gulla Lakshmi Vineeth, V. Sathya Narayanan, D. Padmapriya M. E.. Diagnosing the obstructive sleep apnea from encountered multi parameter values, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Navin R., Palur Sai Vivek, Pulu Gulla Lakshmi Vineeth, V. Sathya Narayanan, D. Padmapriya M. E. (2019). Diagnosing the obstructive sleep apnea from encountered multi parameter values. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Navin R., Palur Sai Vivek, Pulu Gulla Lakshmi Vineeth, V. Sathya Narayanan, D. Padmapriya M. E.. "Diagnosing the obstructive sleep apnea from encountered multi parameter values." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

Patients suspected of suffering sleep apnea and hypopnea syndrome (SAHS) have to undergo sleep studies such as expensive polysomnography to be diagnosed. Healthcare professionals are constantly looking for ways to improve the ease of diagnosis and comfort for this kind of patients as well as reducing both the number of sleep studies they need to undergo and the waiting times.