Nature

A MEMS seismometer respiratory monitor for work of breathing assessment and adventitious lung sounds detection via deep learning

Physicians evaluate a patient’s respiratory health during a physical examination by visual assessment of the work of breathing (WoB) to determine respiratory stability, and by detecting abnormal lung ...
EurekAlert!

Wearable stethoscope revolutionizes lung sound monitoring

A new study published in Engineering presents a breakthrough in medical technology with the development of a wearable stethoscope that can accurately monitor lung sounds in real-time and automatically ...
Nature

Sensitivity analysis of data augmentation methods on performance of deep learning model for lung sounds classification

Physicians can distinguish between abnormal and normal lung conditions more easily with the help of an AI stethoscope. A well-trained deep learning model (DLM) for lung sounds classification is the ...
mccormick.northwestern.edu

First-of-Their-Kind Wearables Capture Body Sounds to Continuously Monitor Health

During even the most routine visits, physicians listen to sounds inside their patients’ bodies — air moving in and out of the lungs, heart beats, and even digested food progressing through the long ...