Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
112 participants
OBSERVATIONAL
2023-03-01
2024-03-27
Brief Summary
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Detailed Description
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Conditions
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Study Design
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CASE_ONLY
PROSPECTIVE
Study Groups
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Healthy or people who has indication to conduct polysomnography (PSG).
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Heart failure, New Youk Heart Association (NYHA) classification III or IV
* Chronic opioid medication user
* Devastating severe strokes, with the modified Rankin score (mRS)≥4
* Tracheostomy
* Incapable of comprehending and signing the informed consent and questionnaires, including but not limited to subjects with severe Alzheimer's, unconscious by head trauma, or of someone with limited mental capacity
* Cannot correctly follow the order to use the TipTraQ device
20 Years
80 Years
ALL
Yes
Sponsors
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PranaQ Pte. Ltd.
INDUSTRY
Responsible Party
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Locations
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Taipei Medical University-Shuang Ho Hospital,Ministry of Health and Welfare
New Taipei City, Taiwan, Taiwan
Countries
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References
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Chen KW, Tseng CH, Lee HC, Liu WT, Chou KT, Wu HT. Validation of a fingertip home sleep apnea testing system using deep learning AI and a temporal event localization analysis. Sleep. 2025 May 12;48(5):zsae317. doi: 10.1093/sleep/zsae317.
Other Identifiers
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N202303101
Identifier Type: OTHER
Identifier Source: secondary_id
TipTraQ developement SHH
Identifier Type: -
Identifier Source: org_study_id
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