ClinicalTrials.gg
RecruitingNCT07744854Updated Aug 4, 2026

Development of a Torso Patch Sensor (C-TraQ) as a Companion Device to a Fingertip Sensor (TipTraQ) for Direct Monitoring of Respiratory Effort

An observational study in Sleep Apnea, Obstructives and Sleep Apnea Central, sponsored by PranaQ Pte. Ltd.. Recruiting at 1 site in Taiwan. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-08-04.

Primary conditionSleep Apnea, CentralRegistry: Sleep Apnea SyndromesReclassifiedWhy we changed it
Registry
Sleep Apnea Syndromes — the first condition term the registry derived for this study.
ClinicalTrials.gg
Sleep Apnea, Central
Why
  1. The study's listed conditions name Sleep Apnea, Central, a narrower term within Sleep Apnea Syndromes.
Confidence
High: the new condition is named in the study's own listed conditions. Of 351 hand-checked studies reclassified this way, 68% were exactly right and 84% in the right disease family; the registry's first term was right for 5% (measured 2026-10-21). How we classify →
Wrong?
Tell us the study's main condition →

Sponsored by PranaQ Pte. Ltd. · Observational

From the registry’s dates

  • Started Jun 2026; still recruiting 5 months later.
Study type
Observational
Model
Case-only
Time perspective
Prospective
Enrollment
180
Ages
18 Years and older
Sex
All
01

Study summary

The existing PranaQ system utilizes a fingertip sensor that captures PPG(Photoplethysmography) and accelerometer data, and its clinical validation is well-established. While PPG alone has shown effectiveness in diagnosing obstructive sleep apnea, its limited data channels restrict comprehensive evaluation. For instance, it struggles to link apnea events with body position or differentiate between central and obstructive sleep apnea.

To address these limitations, the PranaQ system incorporates new sensors, specifically the chest patch sensor, to monitor respiratory movements via accelerometer signals. The additional respiration signal has the potential to improve diagnostic accuracy for apnea through additional information from respiratory effort.

Read the detailed description

Disease Background Sleep apnea-hypopnea syndrome (SAHS) represents a pervasive and significant public health challenge, affecting a substantial segment of the adult population. Epidemiological data indicate that 34% of men and 17% of women between the ages of 30 and 70 are impacted by this condition. Despite its high prevalence, SAHS remains vastly underdiagnosed and consequently undertreated, leaving a large portion of the affected population vulnerable to its associated health risks.

The established gold standard for the definitive diagnosis of sleep apnea is full-channel polysomnography (PSG). This comprehensive diagnostic procedure necessitates the simultaneous recording of a multitude of physiological and biological signals throughout the night, including electroencephalography (EEG) to monitor brain activity and sleep stages, electrooculography (EOG) for eye movements, electromyography (EMG) for muscle activity, and dedicated sensors for airflow, respiratory effort, and blood oxygen saturation.

However, the clinical utility and accessibility of PSG are severely constrained by several inherent limitations. The study is highly uncomfortable, requiring patients to be affixed with a complex array of over 20 sensors and leads. Crucially, PSG is exclusively a hospital-based procedure, confining patients to an unfamiliar environment which can itself negatively impact natural sleep patterns (the "first-night effect"). Furthermore, the subsequent analysis of the multichannel PSG data is resource-intensive, demanding hours of expert technician time for the meticulous labeling and scoring of individual sleep breathing events, which contributes to its high cost, significant time commitment, and impracticality for widespread population screening or routine follow-up evaluation. These barriers highlight the urgent need for more accessible, less burdensome, and cost-effective diagnostic alternatives for sleep apnea.

Description of PranaQ system

The PranaQ system integrates multiple wearable sensors-one for the fingertip and one for the chest-with a mobile application and an interpretable AI platform. The sensors collect the following data:

  1. T-TraQ (Fingertip Sensor): Records Photoplethysmography (PPG), accelerometer, and temperature data from the fingertip.
  2. C-TraQ (Torso Patch Sensor): Also collects PPG, accelerometer, and temperature data. In this study, there are three sensors attached over sternum, abdomen and left subclavicle area.

The PranaQ system, composed of wearable devices and cloud computing, is designed for both home and clinical settings to aid in the evaluation and diagnosis of suspected adult sleep apnea patients, as well as for long-term monitoring. Its function includes recording, storing, and exporting physiological waveforms. After the patient completes the recording, the collected signal data will be sent to the cloud for automatic report generation. The final sleep report will then be sent back to the healthcare provider through a browser-based user interface (PranaQ Expert Panel).

Clinical Evaluation Objectives and Purpose

  1. Validate the respiration information generated by the C-TraQ (Chest Patch Sensor). The raw signal from the chest patch is accelerometer-based. The respiration rate and waveform generated from the chest patch signal will be compared for consistency with information concurrently obtained from the thorax and abdominal belt collected through the PSG.
  2. Validate the multi-sensor PranaQ system for the diagnosis of sleep apnea The TST, TRT, ODI, and AHI(both obstructive and central) generated by the PranaQ system will be compared with the results from PSG labeled by a technician.
02

Conditions studied

  • Sleep Apnea, Obstructives
  • Sleep Apnea Central

Browse trials for

Keywords

  • apnea
  • chest patch
03

In context

Sleep Apnea, Central Reclassified

96 studies on the registry are indexed under Sleep Apnea, Central; 18 are open to participants now.

This study's planned enrollment of 180 is above the median of 148 across 36 observational studies indexed under Sleep Apnea, Central.

Browse Sleep Apnea, Central studies →

Lead sponsor

PranaQ Pte. Ltd. is the lead sponsor of 6 studies on the registry; 1 is open to participants now.

Compared within Sleep Apnea, Central, this study's primary condition as ClinicalTrials.gg classifies it; the registry's first condition term is Sleep Apnea Syndromes. The counts are of registry records indexed under each term, refreshed daily. How we classify →

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Patient who is scheduled for a sleep study.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Subjects must be 18 years of age or older.

Exclusion criteria

Exclusion Criteria:

  • Opioids use
  • Chronic Obstructive Lung Disease, Global Initiative for Chronic Obstructive
  • Lung Disease (GOLD) categorization 3 or 4
  • Devastating strokes, with a modified Rankin score (mRS) ≥ 4
  • Interstitial lung disease
05

Study design

Observational model
Case-only
Time perspective
Prospective
Enrollment
180 participants (estimated)
Patient registry
No
06

What researchers measure

Primary outcomes

  1. Respiratory Rate

    PSG recording estimated respiratory rate as ground truth to compare with the C-TraQ-generated respiratory rate.

    Time frame: one night

  2. Sleep Position

    Sleep Position measured by PSG as ground truth to compare with C-TraQ generated sleep position

    Time frame: One night

  3. AHI

    Technician labeled AHI based on PSG signal to compare with PranaQ system's prediction.

    Time frame: One night

07

Study locations

1 of 1 sites recruiting
08

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Aug 4, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
09

Registry details

Key details

Study ID
NCT07744854
Lead sponsor
PranaQ Pte. Ltd.
Responsible party
Sponsor
First posted
Aug 4, 2026
Start date
Jun 5, 2026
Primary completion
Mar 23, 2027 (estimated)
Completion
Mar 23, 2027 (estimated)
Last update
Aug 4, 2026

Study contacts

Ke Wei Chen, M.D.
Contact
kwchen@pranaq.com
+886-2-77415277

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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