Johns Hopkins University

Mounya Elhilali

Dimitra Emmanouilidou

James Edward West

Ian Mclane

Ii Adebayo Ayoola Eisape

A digital electronic stethoscope includes an acoustic sensor assembly that includes a body sensor portion and an ambient sensor portion, the body sensor portion being configured to make acoustically coupled contact with a subject while the ambient sensor portion is configured to face away from the body sensor portion so as to capture environmental noise proximate the body sensor portion; a signal processor and data storage system configured to communicate with the acoustic sensor assembly so as to receive detection signals therefrom, the detection signals including an auscultation signal comprising body target sound and a noise signal; and an output device configured to communicate with the signal processor and data storage system to provide at least one of an output signal or information derived from the output signal. The signal processor and data storage system includes a noise reduction system that removes both stationary noise and non-stationary noise from the detection signal to provide a clean auscultation signal substantially free of distortions. The signal processor and data storage system further includes an auscultation sound classification system configured to receive the clean auscultation signal and provide a classification thereof as at least one of a normal breath sound or an abnormal breath sound.

Programmable electronic stethoscope devices, algorithms, systems, and methods

An electronic stethoscope includes an acoustic sensor assembly having a first microphone to detect biological sounds within a body, a detection system in communication with the first microphone to receive an auscultation signal from the first microphone, the auscultation signal including information of the biological sounds detected by the first microphone. The stethoscope also includes a second microphone in communication with the detection system to detect noise from an environment of the body. The detection system receives a noise signal from the second microphone, and provides a resultant signal based on the auscultation signal and the noise signal. The detection system subtracts information from the auscultation signal to produce the resultant signal, where the subtracted information is based on the noise signal such that the subtracted information is based more on higher frequency ranges of the noise signal compared to a lower frequency range corresponding to the biological sounds.

Growing community of inventors

North Potomac, MD, United States of America

Mounya Elhilali