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.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Bouzakine, Taras A.
• Taranhike, Gladman N.
• Carey, Ryan Michael

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042805-121332

Advisor

• Shonat, Ross D.

Year

• 2005

Sponsor

• Eder, Thomas
• Wall, Lisa

Date created

• 2005-04-28

Resource type

• Major Qualifying Project

Major

• Biomedical Engineering

Rights statement

• In Copyright