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

2026年7月29日 更新者:PranaQ Pte. Ltd.

Development and Validation of Chest Patch Sensor for Physiological Signal Measurement and Sleep Apnea Evaluation

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.

研究概览

详细说明

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.

研究类型

观察性的

注册 (估计的)

180

联系人和位置

本节提供了进行研究的人员的详细联系信息,以及有关进行该研究的地点的信息。

学习联系方式

  • 姓名:Ke Wei Chen, M.D.
  • 电话号码:+886-2-77415277
  • 邮箱:kwchen@pranaq.com

学习地点

    • Taiwan
      • Taipei、Taiwan、台湾、201
        • 招聘中
        • Taipei Veterans General Hospital
        • 接触:
          • Chun-Hsien Tseng Sleep Technician
          • 电话号码:886-2-2875-7564
          • 邮箱:cmd@vghtpe.gov.tw

参与标准

研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

  • 成人
  • 年长者

接受健康志愿者

是的

取样方法

非概率样本

研究人群

Patient who is scheduled for a sleep study.

描述

Inclusion Criteria:

  • Subjects must be 18 years of age or older.

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

学习计划

本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。

研究是如何设计的?

设计细节

研究衡量的是什么?

主要结果指标

结果测量
措施说明
大体时间
Respiratory Rate
大体时间:one night
PSG recording estimated respiratory rate as ground truth to compare with the C-TraQ-generated respiratory rate.
one night
Sleep Position
大体时间:One night
Sleep Position measured by PSG as ground truth to compare with C-TraQ generated sleep position
One night
AHI
大体时间:One night
Technician labeled AHI based on PSG signal to compare with PranaQ system's prediction.
One night

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始 (实际的)

2026年6月5日

初级完成 (估计的)

2027年3月23日

研究完成 (估计的)

2027年3月23日

研究注册日期

首次提交

2026年7月29日

首先提交符合 QC 标准的

2026年7月29日

首次发布 (实际的)

2026年8月4日

研究记录更新

最后更新发布 (实际的)

2026年8月4日

上次提交的符合 QC 标准的更新

2026年7月29日

最后验证

2026年7月1日

更多信息

与本研究相关的术语

药物和器械信息、研究文件

研究美国 FDA 监管的药品

不

研究美国 FDA 监管的设备产品

不

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