Development of a low-cost biomedical device to enhance pneumonia diagnosis in children

Date

2020

Journal Title

Journal ISSN

Volume Title

Publisher

MRS Advances

Abstract

Pneumonia has contributed greatly to child mortality, especially among children under the ages of five in sub-Saharan Africa, killing more children than the number of children dying from HIV/AIDS. The current methods of diagnosing pneumonia involved physical examination and chest x-ray which are limited by low accuracy, high error margins, higher cost, and stands the risks of inducing cancer. In this work, a low-cost, non-invasive biomedical device was designed and developed to improve accuracy in diagnosing pneumonia. The device functions to detect fluid in a lung consolidated by pneumonia. Dry grouting sponge was used as a phantom for a healthy lung, while a wet sponge was used to mimic a pneumoniaconsolidated lung. Surface exciter was used to produce sound waves which travelled through one side of the phantom and are detected on the other end using an electronic stethoscope. The signals detected were digitally analyzed using MATLAB and AUDACITY software. The differences in resonant frequencies from the power spectrum analysis of sound waves as they travelled through the sponges were used to distinguish between a pneumonia-consolidated lung and a healthy lung.

Description

This is the Accepted Manuscript version of this article which has been accepted for publication and will appear in a revised form, subsequent to peer review and/or editorial input by Materials Research Society or Cambridge University Press, in MRS Advances published by Materials Research Society and Cambridge University Press, together with a copyright notice in the name of the copyright holder (Materials Research Society). On publication, the full bibliographical details of the article (volume: issue number (date), page numbers) will be inserted after the journal-title, together with a link to the Cambridge website address for the Journal

Keywords

biomedical device, simulation, children, sensor

Citation

DOI