Title page for E-project-042805-121332

Project Type MQP

Submission date 2005-04-28

Authors
Taras A Bouzakine, BE
Ryan M. Carey, BE
Gladman N Taranhike, BE

URN E-project-042805-121332

Sponsor Thomas Eder, M.D.

Title Distinguishing Between Asthma and Pneumonia Through Automated Lung Sound Analysis

Advisor
Shonat, Ross D., BE

Availability unrestricted

Abstract
This project attempts to distinguish between two pulmonary disorders, asthma and pneumonia, using automated analysis of lung sounds. Such an approach minimizes the subjectivity of diagnosis inherent to current practices by physicians. Breath sounds are recorded by a physiological microphone and hardware acquisition system, and then analyzed in software using a two stage algorithm. The first stage detects abnormal lung sounds and second stage makes a diagnosis. A clinical trial was conducted at a pediatric clinic to validate the system.

Files
stethqp.zip
StethQP_Final_Report.pdf

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Project Type	MQP
Submission date	2005-04-28
Authors	Taras A Bouzakine, BE Ryan M. Carey, BE Gladman N Taranhike, BE
URN	E-project-042805-121332
Sponsor	Thomas Eder, M.D.
Title	Distinguishing Between Asthma and Pneumonia Through Automated Lung Sound Analysis
Advisor	Shonat, Ross D., BE
Availability	unrestricted
Abstract This project attempts to distinguish between two pulmonary disorders, asthma and pneumonia, using automated analysis of lung sounds. Such an approach minimizes the subjectivity of diagnosis inherent to current practices by physicians. Breath sounds are recorded by a physiological microphone and hardware acquisition system, and then analyzed in software using a two stage algorithm. The first stage detects abnormal lung sounds and second stage makes a diagnosis. A clinical trial was conducted at a pediatric clinic to validate the system.
Files	stethqp.zip StethQP_Final_Report.pdf