Exploring alternans characteristics of electrocardiogram for prediction of Paroxysmal Atrial Fibrillation

The goal of our thesis was to investigate if P-wave and PQ segment alternans can be used to detect and predict Paroxysmal Atrial Fibrillation (PAF) from an Electrocardiogram (ECG). The work involved implementing an algorithm for computing alternans information for a region of ECG, applying the algorithm to derive P-wave and PQ segment alternans information, and analyzing data generated for normal and PAF ECGs for evidence of any distinguishable predictive characteristics. Based on analysis of total 80 patient records (35 normal and 45 PAF) with validation on 30 records randomly selected from those (achieving c-indexes between 0.66 and 0.70), we concluded that alternans can potentially be a useful predictor for PAF.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2004

Author dc:creator

• Dosani, Adnan, 1982-

Advisor dc:contributor.advisor

• Richard Cohen.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

en_US

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/28726

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/28726