TipTraQ Home Sleep Test Study, SHH

NCT ID: NCT06633887

Last Updated: 2024-10-18

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Total Enrollment

112 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-03-01

Study Completion Date

2024-03-27

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

The clinical study aims to develop and validate the TipTraQ system, created by PranaQ, a home sleep test for sleep apnea screening. The system comprises a wearable device and a cloud-based AI for estimating Total Sleep Time (TST) and Apnea-Hypopnea Index (AHI).

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Sleep-disordered breathing is a common disease that affects life function and quality of life, and it also imposes a great burden on the public health system. Obstructive sleep apnea accounts for the largest proportion of sleep-disordered breathing, and because of the oriental facial structure, the prevalence of sleep-disordered breathing is relatively high. The current gold standard for diagnosis OSA is polysomnography (PSG). Although the physiological information collected by PSG is complete and detailed, it requires a considerable amount of manpower and medical resources, and changes in the sleep environment also cause bias in the accuracy of inspection. So far, the tools for simple and accurate screening and diagnosis OSA are relatively limited. In this study, TipTraQ, a wearable device developed by PranaQ, was used to collect photoplethysmography (PPG) of patients during the night of PSG inspection. The reliability and validity analysis was carried out by comparing with the corresponding indicators of PSG, and the feasibility of TipTraQ as a tool for home sleep test (HST).

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Obstructive Sleep Apnea

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

CASE_ONLY

Study Time Perspective

PROSPECTIVE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Healthy or people who has indication to conduct polysomnography (PSG).

No interventions assigned to this group

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

Subjects from the age of 20 and older that have an indication for an in-lab PSG study.

Exclusion Criteria

* Heart transplant
* 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
Minimum Eligible Age

20 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

PranaQ Pte. Ltd.

INDUSTRY

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Taipei Medical University-Shuang Ho Hospital,Ministry of Health and Welfare

New Taipei City, Taiwan, Taiwan

Site Status

Countries

Review the countries where the study has at least one active or historical site.

Taiwan

References

Explore related publications, articles, or registry entries linked to this study.

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.

Reference Type DERIVED
PMID: 39821673 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

N202303101

Identifier Type: OTHER

Identifier Source: secondary_id

TipTraQ developement SHH

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

Is My Sleep Tracker Tracking my Sleep?
NCT06174558 NOT_YET_RECRUITING
Study Using Negative Pressure to Reduce Apnea
NCT04861038 ACTIVE_NOT_RECRUITING NA