Toggle Main Menu Toggle Search

Open Access padlockePrints

Signal analysis of medical acoustic sounds with applications to chest medicine

Lookup NU author(s): Professor Said Boussakta


Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


The stethoscope is widely used for listening to heart sounds (cardiology), lung sounds (chest medicine) and digestive, bowel sounds, etc. An obvious development from this is to seek to automate the process by which a physician listens to and interprets the sounds. In parallel with signal processing developments, medical usage of diagnostic instrumentation is changing. The study described in this paper aimed to prove the feasibility of an automatic stethoscope for particular screening and monitoring algorithms, for which we envisage genuine clinical applicability. The first algorithm is to enable non-specialists to screen for pulmonary fibrosis. The algorithm was found to distinguish effectively between signals representing patients with chronic obstructive pulmonary disease (COPD), those with pulmonary fibrosis and normal individuals. A clear demarcation was observed between signals from patients in different diagnostic categories, with orders of magnitude differences between the groups. The second application is the monitoring of asthmatic patients. The proportion of wheeze within a given time recording is an objective indicator of the patient's condition, which can be used to monitor the person's progress during treatment. The proposed usage of each algorithm is demonstrated through a conceptual device, in which the ability to objectively quantify the patient's condition represents a powerful opportunity to improve clinical outcomes. © 2006 The Franklin Institute.

Publication metadata

Author(s): Marshall A, Boussakta S

Publication type: Article

Publication status: Published

Journal: Journal of the Franklin Institute

Year: 2007

Volume: 344

Issue: 3-4

Pages: 230-242

Print publication date: 01/05/2007

ISSN (print): 0016-0032

ISSN (electronic): 1879-2693

Publisher: Pergamon


DOI: 10.1016/j.jfranklin.2006.08.003


Altmetrics provided by Altmetric