Abstract: An electronic stethoscope uses a contact sensor to confirm continuous contact with a patient. A recording of body sounds is begun while a timer is initiated. Upon a signal from the timer, recording is terminated. The duration of the timer may be set remotely by a practitioner. Additionally, the contact sensor may require a minimum level of force as an implicit indication that the stethoscope is firmly stationary. Once a valid measurement is recorded, it is analyzed in comparison to a baseline. Artificial intelligence is used to select the appropriate from a database of sampled data. Bootstrapping is used to develop additional data sets and Random Forest algorithm is used to select the appropriate baseline from the data. The current recording is analyzed with respect to the AI selected baseline. A display on the electronic stethoscope displays analyzed results as well as providing the visual aspect of a user interface.