Validation of Sleep Monitoring Algorithm Based on Smart Watches
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
-
Taipei, Taiwan, 100
- National Taiwan University Hospital
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Forty male or female subjects are recruited from those visiting Department of Medicine for health check up
- Subjects aged 20 to 65
Exclusion Criteria:
- Refuse to participate
- Arrhythmia
- Active infection
- Active neurologic event
- Shift worker
- Substance abuse
- Fitted with implantable medical electronics, such as cardiac pacemakers and defibrillators
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: smart watch
This study will use a prototype (MediaTek Sleep Watch) to acquire PPG, body movements, skin temperature, and skin conductance to validate the algorithm of sleep staging and sleep efficiency assessment.
PSG will be used as gold standard for statistical analysis.
|
Participants will be asked to wear two smart watches simultaneously.
The first smart watch is a dedicated prototype for validating algorithm developed by MediaTek.
The second smart watch is Basis Peak.
These watches are going to acquire PPG, body movements, skin temperature, and skin conductance.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
sleep stages derived from smartwatch
Time Frame: 12 months
|
Comparing sleep stages detected by a smartwatch(hh:mm) with the sleep stages of an overnight PSG(N1 (%), N2 (%), N3 (%), REM(%), Arousal index (/h) to validate the effectiveness of the smartwatch.
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12 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
sleep efficiency derived from smartwatch
Time Frame: 12 months
|
Comparing sleep efficiency(%) detected by a smartwatch with the sleep efficiency(%) from an overnight PSG to validate the effectiveness of the smartwatch.
|
12 months
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Pei-Lin Lee, M.D., PhD, Department of Internal Medicine
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimated)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 201503059RSA
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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