The paper describes a multichannel adaptive algorithm for the enhancement of cardiac sounds with respect to environmental noise. It combines sounds acquired from a couple of microphones to reconstruct the transfer function of a stethoscope head and its interaction with the patient’s body. This identification process allows to perform a distortion-less noise reduction. The filter is embedded into an electronic stethoscope, composed of a traditional acoustic head and an electronic section. This instrument allows to show on a display the heart sound and to store the acquisition into a removable media transferring data to a PC. A software tool able to reproduce, visualize, store and analyze cardiac sounds, for performing assisted diagnoses of cardiac diseases, completes the system. A demonstrator of the tool has been realized. Experimental results show significant improvements in noise reduction, when the filtering algorithm is applied.

Embedding a multichannel environmental noise cancellation algorithm into an electronic stethoscope / D. Della Giustina, M. Riva, F. Belloni, M. Malcangi. - In: INTERNATIONAL JOURNAL OF CIRCUITS, SYSTEMS AND SIGNAL PROCESSING. - ISSN 1998-4464. - 5:2(2011 Jan), pp. 184-191.

Embedding a multichannel environmental noise cancellation algorithm into an electronic stethoscope

D. Della Giustina
Primo
;
M. Riva
Secondo
;
F. Belloni
Penultimo
;
M. Malcangi
Ultimo
2011-01

Abstract

The paper describes a multichannel adaptive algorithm for the enhancement of cardiac sounds with respect to environmental noise. It combines sounds acquired from a couple of microphones to reconstruct the transfer function of a stethoscope head and its interaction with the patient’s body. This identification process allows to perform a distortion-less noise reduction. The filter is embedded into an electronic stethoscope, composed of a traditional acoustic head and an electronic section. This instrument allows to show on a display the heart sound and to store the acquisition into a removable media transferring data to a PC. A software tool able to reproduce, visualize, store and analyze cardiac sounds, for performing assisted diagnoses of cardiac diseases, completes the system. A demonstrator of the tool has been realized. Experimental results show significant improvements in noise reduction, when the filtering algorithm is applied.
Adaptive filters; Biomedical signal analysis; Cardiac Sounds; Noise cancellation; System identification
Settore ING-INF/01 - Elettronica
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/150756
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