Wearable Electronic Breath Sound Sensing Device

The device is a soft, wearable stethoscope designed for continuous, comfortable monitoring of patients for abnormal breath sounds, such as wheezing, which can indicate asthma exacerbations. It automatically detects and diagnoses abnormal breath frequencies, wirelessly transmitting data for analysis. Preliminary materials have shown biocompatibility, ensuring the device is safe for use in children. A key feature is its machine-learning algorithm, which can classify and differentiate normal from abnormal sounds with an expected accuracy above 80%. Initial in vivo tests will compare the device's findings to those of a commercial-grade stethoscope in healthy subjects and individuals with asthma. Breath sound data will be used to improve the detection of wheezing sounds from these continuous recordings based on frequency and amplitude analysis of the recordings.

The study PI will auscultate the participant's lungs at enrollment to ensure that wheezing is present before beginning the continuous recording of the participant's lung sounds. The PI will assess the participant's respiratory status daily at the start of each breath sound recording session.