Sleep Apnoea Disorder

Aishwarya Deepak Raut and Bharati Dixit
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Aishwarya Deepak Raut: School of Comp. Eng. and Tech, MIT World Peace University, Pune, India
Bharati Dixit: School of Comp. Eng. and Tech, MIT World Peace University, Pune, India

European Journal of Engineering and Technology Research, 2020, vol. 5, issue 3, 339-342

Abstract: This article provides research on sleep apnoea. Sleep apnoea is a capable for suspending breath or frequently pausing in period of deep sleep. This symptoms may leads to an unappropriate death that makes it a critical sleeping disorder. Periods of apnoea generally lasts for five seconds or hardly a minute which affects the sleeping pattern due to breathing. This probably happens five times of an hour or even more. Obstructive sleep apnoea (OSA),central sleep apnoea (CSA) and mixed/complex sleep apnoea(MSA) are common three types of apnoea, where mixed/complex sleep apnoea is combination of other two apnoea. Airway obstruction is caused in OSA, while in CSA airway is not blocked, but the brain dosn’t sends proper signals to the muscles that cause instability of the respiratory center. The study includes the sleep disorders, types, cause, signs and symptoms and methods of Sleep Apnoea. Considering the study; it is very much required to detection of sleep apnoea using noninvasive techniques. Machine learning algorithms based detection of sleep apnoea is a feasible solution which provides more than 90% accuracy. The study surveys the similar techniques based on machine learning.

Keywords: Central Sleep Apnoea (CSA); Machine Learning; Obstructive Sleep Apnoea (OSA); Mixed Sleep Apnoea (MSA); Sleep Apnoea (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:5:y:2020:i:3:id:61822

DOI: 10.24018/ejeng.2020.5.3.1822

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