Developement of TipTraQ Home Sleep Test

NCT ID: NCT06474351

Last Updated: 2024-10-22

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 240 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2023-06-01
• Study Completion Date: 2023-12-31

Brief Summary

The clinical study aims to develop and fine-tune the TipTraQ system, created by PranaQ, for home 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). This open-label, non-randomized study will recruit 240 subjects aged 20 and older from the Veteran General Hospital, Taipei.

Detailed Description

Sleep Breathing Disorders (SBD) is a common disorder in the population. However, a lot of patients are not aware of this disease and do not receive proper treatment, which not only impacts their personal health but also causes public disasters. Thus, a screening tool to find those patients becomes a critical point-of-care issue. To achieve this goal, a wearable device that is suitable for the screening is needed. The goal of this study is developing and fine-tuning a new sleep screening platform, TipTraQ, developed by PranaQ. TipTraQ is composed of a wearable device designed as a convenient screening device based on the photoplethysmography (PPG) technique and an interpretable artificial intelligent (AI) system that takes the PPG signal recorded by the wearable device as input and outputs and outputs estimated total sleep time (TST) and apnea-hypopnea index (AHI).

The study is open-label and non-randomized, planning to recruit 240 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 TipTraQ device will be worn over fingertip. The primary goal is to assess the robustness of the TipTraQ system and fine-tuned the algorithm by comparing its output against the gold standard PSG annotations made by sleep experts.

Conditions

Obstructive Sleep Apnea

Study Design

• Observational Model Type: CASE_CONTROL
• Study Time Perspective: PROSPECTIVE

Eligibility Criteria

Inclusion Criteria

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

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 opioid medication user Devastating Severe strokes, with the modified Rankin score (mRS)≥4

4. Tracheostomy

5. 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

6. Cannot correctly follow the order to use the TipTraQ device

• Minimum Eligible Age: 20 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

PranaQ Pte. Ltd.

INDUSTRY

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Locations

Taipei Veterans General Hospital

Taipei, Taipei, Taiwan

Countries

Taiwan

References

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

TipTraQ developement VGH

Identifier Type: -

Identifier Source: org_study_id