The aim of this project was to develop a method for detecting atrial fibrillation (AF) and atrial flutter (AFL) that could be applied to clinical practice as a diagnostic test. This was achieved by using the RR-intervals of ECG data. Our AF algorithm was based on RR-interval irregularity for detection through statistical techniques: root mean squares of successive differences, turning points ratio, and Shannon entropy. For AFL detection, we implemented a time-frequency analysis of the patient data. Our AF program achieved a sensitivity of 94.9% specificity of 90.7% and accuracy of 92.4% for AF data. Our AFL program was also able to accurately determine segments of flutter with the exception of the patients with RR-intervals resembling normal sinus rhythm.

• 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

• Anderson, Lauren Ruth
• Favreau, Elyse Gloria
• Bolkhovsky, Jeffrey B
• Sorrentino, Jason John

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042711-100101

Advisor

• Chon, Ki H.

Year

• 2011

Date created

• 2011-04-27

Resource type

• Major Qualifying Project

Major

• Biomedical Engineering

Rights statement

• In Copyright