Multi-sensor Stethoscope for chest sound localization


  • Anita M. McKee Carleton University
  • Rafik A. Goubran Carleton University


This paper addresses the feasibility of using a multisensor system consisting of several stethoscope chest pieces for the localization of chest sounds. A signal processing algorithm called beamforming can combine multiple inputs to amplify sounds coming from a particular region inside the chest and attenuate all others. Beamforming can also be used for source localization; that is, determining from where a particular sound originated. These methods can provide a non-invasive and inexpensive acoustic image of the chest cavity for diagnostic and therapeutic purposes. This paper reviews methods for localizing a sound source using a microphone array. It describes a method comparing the delay between signals received at known microphone locations to determine the coordinates of the sound source. To illustrate this concept, we use a circular array of microphones in a free-field homogeneous medium and use delay-and-sum beamforming to combine the received signals. The challenges of applying this method to a non-homogeneous medium will also be discussed.

Author Biographies

Anita M. McKee, Carleton University

Dept. of Systems and Computer Engineering

Rafik A. Goubran, Carleton University

Dept. of Systems and Computer Engineering




How to Cite

A. M. McKee and R. A. Goubran, “Multi-sensor Stethoscope for chest sound localization”, CMBES Proc., vol. 28, no. 1, Dec. 2005.