Wearable digital stethoscopes

Modern digital stethoscopes are too bulky and nonconformal to the skin for continuous auscultation. This project aimed to design a new class of soft digital stethoscopes that conform well to the skin. The soft device can detect continuous cardiopulmonary sounds with minimal noise and classify real-time signal abnormalities. A clinical study with multiple patients and control subjects captures the unique advantage of the wearable auscultation method with embedded machine learning for automated diagnoses of four types of lung diseases: crackle, wheeze, stridor, and rhonchi, with a 95% accuracy. The soft system also demonstrates the potential for a sleep study by detecting disordered breathing for home sleep and apnea detection.

Relevant Papers

Fully portable continuous real-time auscultationwith a soft wearable stethoscope designedfor automated disease diagnosis

Science Advnaces (2022)

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