Sleep apnea diagnosis is traditionally being
made by a medical device called polysomnography (PSG). People have to sleep in
specific sleep laboratories and PSG monitors 14 different parameters for result
evaluations. Due to difficulties of this customary method for the restricted
and elder people, a novel Decision Support Software (DSS), which can help
doctors in deciding whether that type of people require further investigation
with PSG in sleep laboratories or not, is developed in this research. The only
parameter that is being focused in the developed DSS is the oxygen saturation
(SpO2) since it is related with respiration and it can be easily measured from
the finger without ruining the sleep comfort. The PSG results of 100 subjects from
Sleep Heart Health (SHH) data set of the National Sleep Research Resource
(NSRR) are uploaded to Microsoft
Structured Query Language (MS SQL) database server system and analyzed by the DSS
designed with MS SQL. As a consequence, DSS and NSRR sleep apnea outputs match
with a ratio of 76 % for “non-risk for sleep apnea” status. This result shows that
DSS has a potential in supporting decisions of medical doctors about
sleep apnea diagnosis.
Primary Language | Turkish |
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Subjects | Engineering |
Journal Section | Research Articles |
Authors | |
Publication Date | August 30, 2019 |
Submission Date | April 5, 2019 |
Acceptance Date | June 3, 2019 |
Published in Issue | Year 2019 Volume: 24 Issue: 2 |
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