Obstructive Sleep ApneaNCT04112927
Acoustic OSA Prediction During Wakefulness and Monitoring During Sleep
An observational study of Obstructive Sleep Apnea, run by University of Manitoba at 1 site in Canada.
Trial summary
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. Read more about this study
- Who is it for?
- Ages 18 to 70 yearsHealthy volunteers can take part
- Conditions the study is for
- Obstructive Sleep Apnea
- How many people
- 250 participants
- Where
- 1 siteCanada
- Study dates
- 1 Oct 2021to 23 Dec 2028
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 70 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study 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.
Who may be able to join
- 1) age between 18 to 70 years.
- 2) suspected of OSA and referred to full PSG study by a doctor.
Who cannot join
- 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 locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Canada1 site, 1 recruiting
- Recruiting
University of Manitoba
Winnipeg, Manitoba, R3t5V6
Abnoor Kaur, M.Sc., 2044747023, abnoorkaur9@gmail.com
Zahra Moussavi, Ph.D., zahra.moussavi@umanitoba.ca
About this study
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.
Read the detailed description
Sleep apnea, in particular obstructive sleep apnea (OSA), is one of the most common breathing disorders and is associated with major comorbidities such as higher risk perioperative complications. This is particularly concerning given that about 40-80% of people with moderate-severe OSA remain undiagnosed. Due to the resource-intensive assessments required to diagnose OSA and the significantly increased risk of car accidents and perioperative complications associated with undiagnosed OSA, there is a critical need to develop a more effective method to screen for OSA quickly and reliably.
The most widely used clinical OSA screening tool is the STOP-Bang questionnaire, which is a quick and easy-to-implement inquiry form that has a high sensitivity to detect moderate and severe OSA (>93%), but it has a very high rate of false positives (>63%). Thus, a significant number of patients without OSA will continue to be referred for PSG, which contributes to a strain on the healthcare system. Therefore, a quick and reliable screening tool for OSA and its severity during wakefulness is very appealing but challenging, as people with OSA do not show any apparent symptoms during wakefulness.
We have developed a novel screening algorithm for OSA based on the analysis of tracheal breathing sounds recorded from an individual during wakefulness, called AWakeOSA. It can predict OSA with a sensitivity (86%) similar to STOP-Bang, but with a much higher specificity (84%) for detecting individuals without OSA. The AWakeOSA technology still needs significant research and quality improvements to become a reliable home-care device for screening under unsupervised conditions, which is the central purpose of this project. In addition, we are interested to investigate the breathing sound changes from wakefulness to sleep in both groups of healthy and apneic population. For that, we need to record PSG data and breathing sounds during sleep in addition to recording breathing sounds during wakefulness.
We have also designed a specialized hardware device, called ASAD-3, capable of recording breathing sounds with high quality during both wakefulness (short-period recording) and during sleep (long hours recording) that uses two small microphones that are placed in contact with the skin over the trachea and lung, respectively. The hardware device will be utilized to optimize the AWakeOSA algorithm and work towards achieving a reliable home-care device for screening under unsupervised conditions.
The proposed technology will enable a reliable and quick diagnosis of OSA that can be either used in a clinician's office during wakefulness and/or used at home by people to monitor their own OSA. The outcomes of this study will benefit the health care system and society significantly as it will: 1) reduce the financial burden of OSA on the healthcare system by reducing the need for PSG and unnecessary preoperative resources; and 2) provide a quick and reliable personal OSA home-care monitoring system for better OSA treatment management.
- Conditions
- Obstructive Sleep Apnea
- Keywords
- Obstructive Sleep Apnea, OSA, Respiratory Sound Analysis, AwakeOSA
- Medical subject headings
- Sleep Apnea, Obstructive
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| OSA Participants | 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; and 4) under the current, direct supervision of the PI of this study. | |
| Healthy Controls | Inclusion Criteria: 1) age between 18 to 70 years; 2) non-snorer, and being free of any sleep disorders. Exclusion Criteria: same as the OSA Participants. All participants must not have any cold or any other respiratory illness at the time of recording. Illiterate participants may still participate in the study; however, there must be a witness who is not involved in the study (i.e. PI, Co-PI, study coordinator, research assistants (RA)/students, etc.) present to witness the consent process between the participant and the individual obtaining consent. |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: 1 Day
Secondary outcomes (1)
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).
Measured: 1 Day
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted2 Oct 2019
- Study start1 Oct 2021
- Primary completion1 Sep 2028 (estimated)
- Study completion23 Dec 2028 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Obstructive Sleep ApneaStudies of the same condition, open and under way.
- More trials run by University of ManitobaThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Case-control
- Time perspective
- Retrospective
- Enrolment
- 250 participants (estimated)
Sponsor and investigators
- Lead sponsor
- University of Manitoba
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Zahra Kazem-Moussavi, Ph.D., Principal investigator, University of Manitoba
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04112927
- Sponsor's protocol ID
- B2018:094
- Status last verified
- Sep 2026
- First submitted
- 30 Sep 2019
- Last updated
- 30 Sep 2026
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 30 Sep 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Acoustic OSA Prediction During Wakefulness and Monitoring During Sleep
- ClinicalTrials.gov ID
- NCT04112927
- Acronym / sponsor ID
- B2018:094
- Conditions
- Obstructive Sleep Apnea
- Keywords
- Obstructive Sleep Apnea, OSA, Respiratory Sound Analysis, AwakeOSA
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 250 participants (estimated)
- Lead sponsor
- University of ManitobaUniversity, hospital or other
- Study start
- 1 Oct 2021 (actual)
- Primary completion
- 1 Sep 2028 (estimated)
- Study completion
- 23 Dec 2028 (estimated)
- First posted
- 2 Oct 2019 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
Sleep apnea, in particular obstructive sleep apnea (OSA), is one of the most common breathing disorders and is associated with major comorbidities such as higher risk perioperative complications. This is particularly concerning given that about 40-80% of people with moderate-severe OSA remain undiagnosed. Due to the resource-intensive assessments required to diagnose OSA and the significantly increased risk of car accidents and perioperative complications associated with undiagnosed OSA, there is a critical need to develop a more effective method to screen for OSA quickly and reliably.
The most widely used clinical OSA screening tool is the STOP-Bang questionnaire, which is a quick and easy-to-implement inquiry form that has a high sensitivity to detect moderate and severe OSA (>93%), but it has a very high rate of false positives (>63%). Thus, a significant number of patients without OSA will continue to be referred for PSG, which contributes to a strain on the healthcare system. Therefore, a quick and reliable screening tool for OSA and its severity during wakefulness is very appealing but challenging, as people with OSA do not show any apparent symptoms during wakefulness.
We have developed a novel screening algorithm for OSA based on the analysis of tracheal breathing sounds recorded from an individual during wakefulness, called AWakeOSA. It can predict OSA with a sensitivity (86%) similar to STOP-Bang, but with a much higher specificity (84%) for detecting individuals without OSA. The AWakeOSA technology still needs significant research and quality improvements to become a reliable home-care device for screening under unsupervised conditions, which is the central purpose of this project. In addition, we are interested to investigate the breathing sound changes from wakefulness to sleep in both groups of healthy and apneic population. For that, we need to record PSG data and breathing sounds during sleep in addition to recording breathing sounds during wakefulness.
We have also designed a specialized hardware device, called ASAD-3, capable of recording breathing sounds with high quality during both wakefulness (short-period recording) and during sleep (long hours recording) that uses two small microphones that are placed in contact with the skin over the trachea and lung, respectively. The hardware device will be utilized to optimize the AWakeOSA algorithm and work towards achieving a reliable home-care device for screening under unsupervised conditions.
The proposed technology will enable a reliable and quick diagnosis of OSA that can be either used in a clinician's office during wakefulness and/or used at home by people to monitor their own OSA. The outcomes of this study will benefit the health care system and society significantly as it will: 1) reduce the financial burden of OSA on the healthcare system by reducing the need for PSG and unnecessary preoperative resources; and 2) provide a quick and reliable personal OSA home-care monitoring system for better OSA treatment management.
Study design
- Observational model
- Case-control
- Time perspective
- Retrospective
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| OSA Participants | – | –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; and 4) under the current, direct supervision of the PI of this study. |
| Healthy Controls | – | –Inclusion Criteria: 1) age between 18 to 70 years; 2) non-snorer, and being free of any sleep disorders. Exclusion Criteria: same as the OSA Participants. All participants must not have any cold or any other respiratory illness at the time of recording. Illiterate participants may still participate in the study; however, there must be a witness who is not involved in the study (i.e. PI, Co-PI, study coordinator, research assistants (RA)/students, etc.) present to witness the consent process between the participant and the individual obtaining consent. |
Who may qualify
- Ages
- 18 to 70 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study 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.
Key inclusion criteria (2 listed)
- 1) age between 18 to 70 years.
- 2) suspected of OSA and referred to full PSG study by a doctor.
Key exclusion criteria (4 listed)
- 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.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
OSA Severity
Time frame: 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.
1 secondary outcome
Acoustic AHI correlation to PSG
Time frame: 1 Day
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 30 Sep 2026.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Zahra Kazem-Moussavi, Ph.D. principal investigator
University of Manitoba
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Obstructive Sleep Apnea, run by University of Manitoba at 1 site in Canada.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 30 Sep 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Canada. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Abnoor Kaur, M.Sc. (2044747023, abnoorkaur9@gmail.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
OSA Severity (time frame: 1 Day). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 30 Sep 2026.