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IJSTR >> Volume 9 - Issue 1, January 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Sleep Apnea Detection Using Smart Watch And Data Analysis Using Neural Networks

[Full Text]

 

AUTHOR(S)

Santhoshini Arulvallal, Snekhalatha.U

 

KEYWORDS

sleep apnea disorder, heart rate sensor, spo2 sensor, cuffless blood pressure

 

ABSTRACT

A type of medical disorder which causes disturbance in the normal sleeping pattern of the person is sleep disorder. The physical, mental, social health of an individual are subjected to serious problems due to some of the sleeping disorders. If untreated, this may also become fatal. Some common types of sleep disorder are sleep apnea, jet lag, restless leg syndrome, sleep walking, narcolepsy, sleep paralysis, etc.., sleep apnea diagnosis is carried out in a supervised clinical environment which is called polysomnography. This involves continuous and complete monitoring of body functions and specific parameters of the patient by which the presence of the disorder can be indicated. This proposes a sleep apnea device of continuous monitoring that detects the parameters of spo2, heart rate, blood pressure in real time. To display these parameters, a liquid crystal monitor is used. The physiological parameters, that are measured, are transmitted to a smart phone from the monitoring device using Wi-Fi or Bluetooth, and further analysis can be carried out. The experimental results show that this wearable device along with a non-invasive BP measurement using cuff-less method provides a diagnostic result that is reliable. The developed low cost device could avoid complicated procedures and gives continuous monitoring of the sleep apnea disorder.

 

REFERENCES

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