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

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

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02967367
Enrollment
36
Registered
2016-11-18
Start date
2016-09-30
Completion date
2017-02-28
Last updated
2020-03-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Obstructive Sleep Apnea Syndrome

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.

Interventions

DEVICEJawbone sleep tracker

During one night of polysomnographic recording, investigators are going to place these 3 accelerometers on the wrist of the patient

DEVICEWithings sleep tracker

During one night of polysomnographic recording, investigators are going to place these 3 accelerometers on the wrist of the patient

DEVICEBodyMedia Sense Wear accelerometer

During one night of polysomnographic recording, investigators are going to place these 3 accelerometers on the wrist of the patient

Sponsors

Centre Hospitalier Universitaire Saint Pierre
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 100 Years
Healthy volunteers
No

Inclusion criteria

* high clinical suspicion of obstructive sleep apnea syndrome

Exclusion criteria

* other associated sleep disorder * inability to sign informed consent

Design outcomes

Primary

MeasureTime frameDescription
Time in Bedone night (up to 600 minutes)time spent in bed during the night (minutes)
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)

Secondary

MeasureTime frameDescription
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

Countries

Belgium

Participant flow

Participants by arm

ArmCount
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 Jawbone sleep tracker: During one night of polysomnographic recording, investigators are going to place these 3 accelerometers on the wrist of the patient Withings sleep tracker: During one night of polysomnographic recording, investigators are going to place these 3 accelerometers on the wrist of the patient BodyMedia Sense Wear accelerometer: During one night of polysomnographic recording, investigators are going to place these 3 accelerometers on the wrist of the patient
22
Total22

Baseline characteristics

CharacteristicJawbone/Withings Sleep Trackers, Bodymedia Sensewear
Age, Categorical
<=18 years
0 Participants
Age, Categorical
>=65 years
4 Participants
Age, Categorical
Between 18 and 65 years
18 Participants
Age, Continuous53 years
STANDARD_DEVIATION 13
Race and Ethnicity Not Collected— Participants
Sex: Female, Male
Female
5 Participants
Sex: Female, Male
Male
17 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
0 / 22
other
Total, other adverse events
0 / 22
serious
Total, serious adverse events
0 / 22

Outcome results

Primary

Sleep Efficiency

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

Time frame: one night (up to 600 minutes)

ArmMeasureGroupValue (MEAN)Dispersion
Jawbone/Withings Sleep Trackers, Bodymedia SensewearSleep EfficiencyPSG67 percentage of time in bedStandard Deviation 18
Jawbone/Withings Sleep Trackers, Bodymedia SensewearSleep EfficiencyBodymedia Sensewear80 percentage of time in bedStandard Deviation 14
Jawbone/Withings Sleep Trackers, Bodymedia SensewearSleep EfficiencyJawbone sleep tracker78 percentage of time in bedStandard Deviation 13
Jawbone/Withings Sleep Trackers, Bodymedia SensewearSleep EfficiencyWithings sleep tracker84 percentage of time in bedStandard Deviation 11
Primary

Time in Bed

time spent in bed during the night (minutes)

Time frame: one night (up to 600 minutes)

ArmMeasureGroupValue (MEAN)Dispersion
Jawbone/Withings Sleep Trackers, Bodymedia SensewearTime in BedPSG519 minStandard Deviation 34
Jawbone/Withings Sleep Trackers, Bodymedia SensewearTime in BedBodymedia Sensewear446 minStandard Deviation 86
Jawbone/Withings Sleep Trackers, Bodymedia SensewearTime in BedJawbone sleep tracker522 minStandard Deviation 45
Jawbone/Withings Sleep Trackers, Bodymedia SensewearTime in BedWithings sleep tracker524 minStandard Deviation 122
Primary

Total Sleep Time

time spent sleeping during the night (minutes)

Time frame: one night (up to 600 minutes)

ArmMeasureGroupValue (MEAN)Dispersion
Jawbone/Withings Sleep Trackers, Bodymedia SensewearTotal Sleep TimePSG344 minStandard Deviation 92
Jawbone/Withings Sleep Trackers, Bodymedia SensewearTotal Sleep TimeBodymedia Sensewear358 minStandard Deviation 90
Jawbone/Withings Sleep Trackers, Bodymedia SensewearTotal Sleep TimeJawbone sleep tracker407 minStandard Deviation 60
Jawbone/Withings Sleep Trackers, Bodymedia SensewearTotal Sleep TimeWithings sleep tracker431 minStandard Deviation 68
Secondary

Deep Sleep

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

Time frame: one night (up to 600 minutes)

ArmMeasureGroupValue (MEAN)Dispersion
Jawbone/Withings Sleep Trackers, Bodymedia SensewearDeep SleepPSG83 a percentage of total sleep timeStandard Deviation 51
Jawbone/Withings Sleep Trackers, Bodymedia SensewearDeep SleepJawbone sleep tracker243 a percentage of total sleep timeStandard Deviation 74
Jawbone/Withings Sleep Trackers, Bodymedia SensewearDeep SleepWithings sleep tracker192 a percentage of total sleep timeStandard Deviation 84
Secondary

Light Sleep

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

Time frame: one night (up to 600 minutes)

ArmMeasureGroupValue (MEAN)Dispersion
Jawbone/Withings Sleep Trackers, Bodymedia SensewearLight SleepPSG190 a percentage of total sleep timeStandard Deviation 85
Jawbone/Withings Sleep Trackers, Bodymedia SensewearLight SleepJawbone sleep tracker163 a percentage of total sleep timeStandard Deviation 69
Jawbone/Withings Sleep Trackers, Bodymedia SensewearLight SleepWithings sleep tracker239 a percentage of total sleep timeStandard Deviation 54

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026