Acoustic OSA Prediction During Wakefulness and Monitoring During Sleep

ConditionObstructive Sleep Apnea

Trial statusRecruiting

Trial phaseNot listed

Trial typeObservational

Biological sexAll

Age18-70

SponsorUniversity of Manitoba

About this trial

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 criteria

This trial accepts healthy volunteers

Qualifiers

1) age between 18 to 70 years.

2) suspected of OSA and referred to full PSG study by a doctor.

Disqualifiers

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.

Trial population

OSA Participants of this study will be anyone regardless of their sex, gender or ethnic background, who are suspected of OSA and meet the inclusion/exclusion criteria. In addition, we will record up to 50 healthy controls.

Trial design

Design model

Case-control

Time perspective

Retrospective

Treatments tested in this trial

Not listed

Trial groups

250 Participants

are grouped into 2 trial groups

Group A: OSA Participants

Group B: Healthy Controls

Trial outcomes

Primary outcomes

OSA Severity

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.

Time frame

1 Day

Secondary outcomes

Acoustic AHI correlation to PSG

For the sleep data, we will find the correlation of the AHI values estimated by our acoustic device using our previous algorithm compared to those of the Polysomnogram (PSG).

Time frame

1 Day

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

University of Manitoba

Lead sponsor

Source ClinicalTrials.gov

Apply now