Title :
Scoring system for 12 lead ECG quality assessment
Author :
Odstrcilik, T. ; Kuzilek, Jakub ; Chudacek, Vaclav ; Lhotska, L.
Abstract :
We continue to work on the PhysioNet/CinC Challenge 2011: Improving the quality of ECGs collected using mobile phones and we have developed a scoring system, which determines the quality of recorded ECG. Our motivation was to extent the applicability of simple decision rules to support quality assessment of electrocardiogram. However, it is difficult to achieve better classification results using our approach rather than simple rules (e.g., zero lead and high-amplitude artifacts) because of the inconsistency in training database. The scoring system works with standard 12 lead ECG. Our algorithm is based on four simple rules. We assessment bins of ECG using rules and results of the classification are used to calculate index quality of ECG record.
Keywords :
Internet; electrocardiography; medical information systems; medical signal detection; medical signal processing; mobile handsets; ECG recording; PhysioNet-CinC challenge 2011; high-amplitude artifacts; mobile phones; signal detection; simple decision rules; training database; zero lead artifacts; Cybernetics; Educational institutions; Electrocardiography; Indexes; Quality assessment; Testing; Training;
Conference_Titel :
Computing in Cardiology (CinC), 2012
Conference_Location :
Krakow
Print_ISBN :
978-1-4673-2076-4