The purpose of this study is to investigate the feasibility of sound analysis for: a) sleep apnea detection both during wakefulness and sleep, and b) flow-sound relationship during both wakefulness and sleep in patients and control individuals. The ultimate goal of our research is to simplify the current assessments for sleep apnea detection so that it is more convenient for patients and also much faster than the current techniques.
Eligibility
Sex
ALL
Min age
18 Years
Max age
70 Years
Healthy volunteers
Accepted
Inclusion Criteria:
* 1\) age between 18 to 70 years.
* 2\) suspected of OSA and referred to full PSG study by a doctor.
Exclusion Criteria:
* 1\) being diagnosed with a chronic respiratory disease including pulmonary fibrosis, emphysema, respiratory infectious disease, nocturnal asthma, obstructive pulmonary lung disease, pulmonary hypertension, congestive heart failure, sleep related hypoventilation and neuromuscular disorders.
* 2\) having insomnia or restless leg.
* 3\) drug addiction.
* 4\) under the current, direct supervision of the PI of this study.
Primary outcome measure(s)
OSA Severity — 1 Day Data recorded during wakefulness will be analyzed using our published AWakeOSA algorithm to classify the participants into two groups of those who have AHI below and above 15. We will also run Multivariate statistical analysis to find the main effect of OSA severity (AHI) on the sound features and their interaction with the anthropometric information.
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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