5588073
doi
10.35940/ijeat.B3175.029320
oai:zenodo.org:5588073
Blue Eyes Intelligence Engineering & Sciences Publication(BEIESP)
Publisher
T. Ravichandran
Associate Professor, Department, Electronics and Communication Engineering, Annamalai University. Chidambaram
G. Yamuna
Professor and Head, Department, Electronics and Communication Engineering, Annamalai University. Chidambaram.
K. Harini
Student of Annamalai University, Chidambaram.
Developmental Strategies in Diagnosing Obstructive Sleep Apnea
V. Santhiya
Student of Annamalai University, Chidambaram.
issn:2249-8958
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Algorithms review, diagnosis approaches, obstructive sleep apnea, Sleep disorder.
<p>A key mission in medical science is diagnosing a disease due to its criticality and accuracy in examining whether a patient is suffering from particular disease or not. Then, the most appropriate side of treatment can be decided. Obstructive Sleep Apnea (OSA) syndrome is the most widespread sleep disorder characterized by chronic episodes of reduction in the airflow or stoppage in airflow during sleep, being caused by blockage of upper airway. The intention of this review is to analyze already existing algorithms for detecting apnea all the way through usage of different sensors that have not been implemented on hardware. This study offers an exhaustive literature research value from 2003 to 2019 and setting a roadmap for bio-engineers and medical doctors thereby reducing research period and improving medical service efficiency concerning obstructive sleep apnea diagnosis.</p>
Zenodo
2020-02-29
info:eu-repo/semantics/article
5588072
1634824124.684805
528380
md5:cb06ac19ac9ce96b21a6d602c53f35f2
https://zenodo.org/records/5588073/files/B3175129219.pdf
public
2249-8958
Is cited by
issn
International Journal of Engineering and Advanced Technology (IJEAT)
9
3
2868-2873
2020-02-29