An NMF-plus-LLM pipeline separates overlapping heart and lung sounds and generates tentative clinical labels, but the demonstration is qualitative and lacks validation.
Design and Implementation of an IoT-based Respiratory Motion Sensor
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abstract
In the last few decades, several wearable devices have been designed to monitor respiration rate in an effort to capture pulmonary signals with higher accuracy and reduce patients' discomfort during use. In this article, we present the design and implementation of a device for real-time monitoring of respiratory system movements. When breathing, the circumference of the abdomen and thorax changes; therefore, we used a Force Sensing Resistor (FSR) attached to the Printed Circuit Board (PCB) to measure this variation as the patient inhales and exhales. The mechanical strain this causes changes the FSR electrical resistance accordingly. Also, for streaming this variable resistance on an Internet of Things (IoT) platform, Bluetooth Low Energy (BLE) 5 is utilized due to the adequate throughput, high accessibility, and possibility of power consumption reduction. Furthermore, this device presents features such as low power consumption (0.4 mW), high precision, and ease of use.
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Large Language Models and Non-Negative Matrix Factorization for Bioacoustic Signal Decomposition
An NMF-plus-LLM pipeline separates overlapping heart and lung sounds and generates tentative clinical labels, but the demonstration is qualitative and lacks validation.