| Zugriffsnummer | 28788 |
| Dokumenttyp | Konferenzartikel in Zeitschrift |
| Sprache | Englisch |
| Titel | Quality evaluation of a pediatric ECG database for assessment of arrhythmia detection algorithms in Automated External Defibrillators |
| Autor(in); Institution |
Radon, Patricia; 8.2, Biosignale, PTB-Berlin
Steinhoff, Uwe; 8.2, Biosignale, PTB-Berlin
Wagner, G. von; Metrax GmbH, Rottweil, GERMANY
Kraft, N.; Metrax GmbH, Rottweil, GERMANY
|
| Quelle/Jahr | Proceedings BMT 2012, 46. DGBMT Jahrestagung, Jena. Biomedizinische Technik: 57 (2012), Suppl. 1, 631 - 634 |
| ISSN | 0013-5585 (PRINT) ; 1862-278X (ONLINE) |
| DOI | |
| Verlag | Berlin ; Boston: de Gruyter |
| Konferenzangaben | BMT 2012, 46. DGBMT Jahrestagung, Jena, Jena, 16-19, September, 2012, Germany |
| Freie Schlagworte | pediatric ECG ; Automated External Defibrillators ; noise analysis |
| Zusammenfassung | A large collection of pediatric ECGs is a necessary prerequisite for the development and assessment of arrhythmia detec-tion algorithms in Automated External Defibrillators (AEDs) for patients younger than 9 years. Currently we are working on the establishment of a pediatric data set consisting of 12 lead ECG records with rhythm annotations and automatically characterized signal quality. Here, we describe the methodology for automatic quality evaluation of the data. A number of signal parameters concerning both technical noise (background noise level, power line interference, movement artifacts) and physiological characteristics (extrasystoles) of the data sets were determined in every record. In this way, extremely noisy data sets and outliers could be identified. Currently we collected and analyzed 493 nonshockable pediatric ECGs. Motion artifacts were a common observation in our pediatric ECGs. The mean noise amplitude of lead Einthoven II of all ECGs amounted to 15 μV. The mean QRS amplitude was 777 μV. In combination with additional clinical annotations the ECG database provides an instrument for the development and assessment of AED algorithms for arrhythmia detection in children. The final database will have a public interface for a wider community. |
Zitierung
Radon, P., Steinhoff, U., Wagner, G. V., & Kraft, N. (2012). Quality evaluation of a pediatric ECG database for assessment of arrhythmia detection algorithms in Automated External Defibrillators. Biomedizinische Technik, 57(Suppl. 1), 631–634. https://doi.org/10.1515/bmt-2012-4075