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

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.

Study Overview

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.

Study Type

Interventional

Enrollment (Actual)

36

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Brussels, Belgium, 1000
        • CHU Saint Pierre

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 100 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • high clinical suspicion of obstructive sleep apnea syndrome

Exclusion Criteria:

  • other associated sleep disorder
  • inability to sign informed consent

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Jawbone/Withings sleep trackers, Bodymedia Sensewear
2 types of Consumer sleep trackers, including Jawbone and Withings, and one research actigraph (Bodymedia Sensewear) are added to classical polysomnography in order to assess their accuracy to measure sleep parameters in obstructive sleep apnea patients
During one night of polysomnographic recording, investigators are going to place these 3 accelerometers on the wrist of the patient
Other Names:
  • accelerometer
During one night of polysomnographic recording, investigators are going to place these 3 accelerometers on the wrist of the patient
During one night of polysomnographic recording, investigators are going to place these 3 accelerometers on the wrist of the patient

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Time in Bed
Time Frame: one night (up to 600 minutes)
time spent in bed during the night (minutes)
one night (up to 600 minutes)
Sleep Efficiency
Time Frame: one night (up to 600 minutes)
a percentage corresponding to total sleep time divided by time in bed
one night (up to 600 minutes)
Total Sleep Time
Time Frame: one night (up to 600 minutes)
time spent sleeping during the night (minutes)
one night (up to 600 minutes)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Deep Sleep
Time Frame: one night (up to 600 minutes)
a percentage corresponding to sleep time spent in deep sleep (stage N3 on polysomnography) divided by total sleep time
one night (up to 600 minutes)
Light Sleep
Time Frame: one 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
one night (up to 600 minutes)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Marie Bruyneel, MD PhD, Centre Hospitalier Universitaire Saint Pierre

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

September 1, 2016

Primary Completion (Actual)

February 1, 2017

Study Completion (Actual)

February 1, 2017

Study Registration Dates

First Submitted

September 5, 2016

First Submitted That Met QC Criteria

November 15, 2016

First Posted (Estimate)

November 18, 2016

Study Record Updates

Last Update Posted (Actual)

March 24, 2020

Last Update Submitted That Met QC Criteria

March 12, 2020

Last Verified

February 1, 2019

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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