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ID07009873

Study of Wearable Ultrasound Sensors for Early Disease Detection and Monitoring A Single-Center Prospective Clinical Evaluation

Led by Chinese PLA General Hospital · Updated on 2026-03-20

300

Participants Needed

1

Research Sites

24 weeks

Total Duration

AI-Summary

What this Trial Is About

Researchers are evaluating a new wearable ultrasound imaging sensor designed for early diagnosis and real-time monitoring of various conditions including cardiovascular diseases and structural issues in superficial organs. This observational study focuses on assessing the sensors image quality and consistency to determine its potential clinical applications. The study is sponsored by the Chinese PLA General Hospital and includes adult participants aged 18 to 70 years who may have conditions like heart failure, deep vein thrombosis, or require intensive care monitoring. The study involves placing the wearable ultrasound sensor on eligible participants to capture images immediately after placement and during the initial imaging session. The primary goal is to measure the quality of these images and compare their consistency without testing any therapeutic intervention. Participants are grouped based on their condition, including clinically stable heart failure patients, those with confirmed lower-limb deep vein thrombosis, and ICU or post-operative patients needing continuous bedside ultrasound. Participants will undergo ultrasound imaging sessions where image quality and consistency are assessed. The study also monitors the suitability of the sensor placement area, including skin condition and acoustic window quality. Data collected during these sessions will help researchers understand how well the wearable sensor performs in real-time clinical settings. The total study duration extends through the initial placement and imaging assessments, with follow-up as needed to monitor sensor performance and participant safety until the study ends in 2026.

CONDITIONS

Brief Title

Clinical Application of Wearable Ultrasound Sensors

Research Team

Y

Yuyang Li, PhD

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