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Reliability of Consumer Sleep Trackers in Patients Suffering From Obstructive Sleep Apnea Syndrome

Not Applicable
Completed
Conditions
Obstructive Sleep Apnea Syndrome
Registration Number
NCT02967367
Lead Sponsor
Centre Hospitalier Universitaire Saint Pierre
Brief Summary

During last years, numerous sleep trackers have been commercialized. They are intended to give indications about sleep quality/duration in order to give people an internet-based feedback about their own sleep.

For clinical and research purposes, tri-axial accelerometers/multi-sensors devices are used routinely to assess objective sleep quality/patterns. Their use is also validated to estimate sleep in obstructive sleep apnea syndrome (OSA).

The purpose of the present study is to compare the accuracy of consumer-level sleep trackers and validated tools to measure sleep in OSA patients.

Detailed Description

During last years, numerous sleep trackers have been commercialized. They are working on accelerometer-based technology. They are intended to give indications about sleep quality/duration in order to give people an internet-based feedback about their own sleep..

For clinical and research purposes, tri-axial accelerometers/multi-sensors devices are used routinely to assess objective sleep quality/patterns. Their use is also validated to estimate sleep in obstructive sleep apnea syndrome (OSA).

The purpose of our study is to compare the accuracy of consumer-level sleep trackers and validated tools to measure sleep in OSA patients.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
36
Inclusion Criteria
  • high clinical suspicion of obstructive sleep apnea syndrome
Exclusion Criteria
  • other associated sleep disorder
  • inability to sign informed consent

Study & Design

Study Type
INTERVENTIONAL
Study Design
SINGLE_GROUP
Primary Outcome Measures
NameTimeMethod
Sleep Efficiencyone night (up to 600 minutes)

a percentage corresponding to total sleep time divided by time in bed

Total Sleep Timeone night (up to 600 minutes)

time spent sleeping during the night (minutes)

Time in Bedone night (up to 600 minutes)

time spent in bed during the night (minutes)

Secondary Outcome Measures
NameTimeMethod
Deep Sleepone night (up to 600 minutes)

a percentage corresponding to sleep time spent in deep sleep (stage N3 on polysomnography) divided by total sleep time

Light Sleepone night (up to 600 minutes)

a percentage corresponding to sleep time spent in light sleep (stage N1 and N2 on polysomnography) divided by total sleep time

Trial Locations

Locations (1)

CHu Saint Pierre

🇧🇪

Brussels, Belgium

CHu Saint Pierre
🇧🇪Brussels, Belgium

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