Qrs complex detection of electrocardiogram

Blaž Merela (2013) Qrs complex detection of electrocardiogram. EngD thesis.

Preview

PDF Download (3646Kb)

Abstract

Electrocardiography is amongst the basic and relatively accessible examinations in cardiology. One of the key tasks of electrocardiography is accurately detecting each heart beat or the so-called QRS complex, the most recognizable electrocardiogram section. In thesis we have first presented automated QRS complex detection as a principal process in the automatic electrocardiogram analysis, and afterwards implemented, as well as improved upon, two QRS complex detectors. We have evaluated both detectors on two standard databases of annotated electrocardiograms, namely the MIT-BIH DB arrythmia database and the LTST DB database, as well as on the selected, challenging electrocardiograms. With the first detector we have achieved 96.09 % sensitivity with 99.57 % positive predictive value on MIT-BIH DB arrythmia database, and 94.90 % sensitivity with 99.30% positive predictive value on the LTST DB database. With our implementation of the second detector, presented at last year’s Engineering in Medicine & Biology Society conference, we have reached to 99.81 % sensitivity with 99.90 % positive predictive value on the MIT-BIH DB arrythmia database, and to 99.96 % sensitivity with 99.89 % positive predictive value on the LTST DB database.

Actions (login required)