multi-parameter physiological monitoring device
Category: *Precision Health & Smart Medical
Exhibitor: TAIPEI MEDICAL UNIVERSITY
Booth No: N416
Characteristic
This project has developed a multi-parameter physiological monitoring device that combines thoracoabdominal breathing pattern detection with respiratory sound analysis. The primary goal is to enable continuous respiratory monitoring for hospitalized or chronic disease patients, allowing for early detection and warning of respiratory deterioration. Traditional clinical diagnosis mainly relies on short-term auscultation, lacking long-term and comprehensive respiratory monitoring. To address this gap, this device integrates wearable sensor technologies—including a G sensor, accelerometer, strain gauge module, and a multi-point audio recording system—to simultaneously collect thoracic and abdominal movement data as well as respiratory sounds. These data are then processed through a weighted data analysis system to assist healthcare professionals in promptly understanding changes in a patient’s respiratory status.
A key feature of this device is its ability to monitor respiratory rate, breathing depth, thoracoabdominal synchrony, and respiratory sounds at the same time, and to quantify dynamic changes in thoracic or abdominal breathing patterns. This provides objective data for clinical decision-making. The system is designed to be lightweight and comfortable for prolonged wear, with software that displays real-time trends of various respiratory parameters. When abnormal values are detected, the system automatically issues alerts, supporting healthcare staff in early intervention and improving patient safety.
From a technical perspective, the system features multi-point sensing and multimodal signal integration, enabling it not only to detect respiratory deterioration trends but also to distinguish between different breathing patterns (such as thoracic or abdominal breathing) and analyze respiratory sound characteristics. This enhances the accuracy of clinical decisions. In the future, the device can be widely applied in general wards, emergency departments, long-term care institutions, and even in home health monitoring and telemedicine.
In summary, this product addresses the limitations of existing respiratory monitoring devices that can only measure single parameters. It moves toward smart, predictive, and multifunctional integration, which helps to enhance clinical care quality and patient outcomes.
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