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TipTraQ Home Sleep Test Validation Study, Duke

Validation of a Medical-grade Wearable Device with Interpretable Artificial Intelligence System for the Obstructive Sleep Apnea-hypopnea Syndrome (OSAHS) Screening

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06351878
Enrollment
200
Registered
2024-04-08
Start date
2024-02-28
Completion date
2024-08-23
Last updated
2024-10-22

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

Conditions

Obstructive Sleep Apnea

Keywords

Obstructive Sleep Apnea

Brief summary

A validation study has been designed to assess the performance of a home sleep test device, TipTraQ, for screening sleep apnea. The study involves participants wearing the TipTraQ device on their fingertip during a traditional sleep test, known as polysomnography (PSG), conducted in a sleep center. The performance of the device will then be evaluated by comparing the results from the TipTraQ system with those from the traditional sleep test.

Detailed description

This clinical study is designed to validate TipTraQ, a new sleep screening device developed by PranaQ, for the detection of Sleep Breathing Disorders (SBD), including obstructive sleep apnea-hypopnea syndrome (OSAHS). Given the high prevalence of undiagnosed OSAHS and the cumbersome nature of traditional polysomnography (PSG) - which involves multiple sensors and specialist interpretation - there is a pressing need for more accessible screening tools. TipTraQ aims to meet this need through a wearable device that utilizes photoplethysmography (PPG) and an accelerometer to monitor essential physiological parameters during sleep. This information is then analyzed by an interpretable artificial intelligence (AI) system to estimate key indicators of sleep health such as SpO2, total sleep time (TST), oxygen desaturation index (ODI), and apnea-hypopnea index (AHI). The study is open-label and non-randomized, planning to recruit 125 subjects. Participants will use the TipTraQ device alongside a companion mobile app, with data analysis supported by AI technology hosted on a cloud server. The primary goal is to assess the accuracy of the TipTraQ system by comparing its output against the gold standard PSG annotations made by sleep experts. This initiative represents a significant step towards simplifying and democratizing the screening process for sleep disorders, potentially enabling early detection and treatment for a larger segment of the population, thus mitigating personal health risks and broader societal impacts of undiagnosed SBD.

Interventions

None listed

Sponsors

PranaQ Pte. Ltd.
Lead SponsorINDUSTRY

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
20 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

Subjects from the age of 20 and older that have an indication for an in-lab PSG study in the Duke University Hospital. The subject should be able to understand the study and sign the informed consent before being enrolled in the study. During the study period, the subject can withdraw from the study anytime.

Exclusion criteria

Subjects with the following medical conditions will be excluded from this study: 1. Heart transplant 2. Heart failure, New Youk Heart Association (NYHA) classification III or IV 3. Chronic Obstructive Lung Disease, Global Initiative for Chronic Obstructive Lung Disease (GOLD) categorization 3 or 4 4. Chronic opioid medication user Devastating Severe strokes, with the modified Rankin score (mRS)≥4 5. Tracheostomy 6. 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 7. Cannot correctly follow the order to use the TipTraQ device

Design outcomes

Primary

MeasureTime frameDescription
Apnea Hypopnea Index(AHI)From the start of a single polysomnography study to the end of the recording.The combined average number of apneas and hypopneas that occur per hour of sleep
Oxygen Desaturation Index(ODI)From the start of a single polysomnography study to the end of the recording.Average desaturation episodes with a decrease in the oxygen saturation of ≥4% or 3% per hour
Total Sleep Time(TST)From the start of a single polysomnography study to the end of the recording.Total sleep time during the polysomnography (PSG)

Countries

United States

Outcome results

None listed

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