Classification of cardiac arrhythmias using competitive networks

Cicilia R M Leite; Daniel L Martin; Glaucia R A Sizilio; Keylly E A Dos Santos; Bruno G de Araujo; Ricardo A M Valentim; Adriao D D Neto; Jorge D de Melo; Ana M G Guerreiro

doi:10.1109/IEMBS.2010.5626728

Classification of cardiac arrhythmias using competitive networks

Annu Int Conf IEEE Eng Med Biol Soc. 2010:2010:1386-9. doi: 10.1109/IEMBS.2010.5626728.

Authors

Cicilia R M Leite¹, Daniel L Martin, Glaucia R A Sizilio, Keylly E A Dos Santos, Bruno G de Araujo, Ricardo A M Valentim, Adriao D D Neto, Jorge D de Melo, Ana M G Guerreiro

Affiliation

¹ Department of Informatics - Universidade do Estado do Rio Grande do Norte (UERN) and Mater Christi Faculty of Science and Tecnology - Mossoró, Brazil Mossoró, Brazil. [email protected]

PMID: 21096338
DOI: 10.1109/IEMBS.2010.5626728

Abstract

Information generated by sensors that collect a patient's vital signals are continuous and unlimited data sequences. Traditionally, this information requires special equipment and programs to monitor them. These programs process and react to the continuous entry of data from different origins. Thus, the purpose of this study is to analyze the data produced by these biomedical devices, in this case the electrocardiogram (ECG). Processing uses a neural classifier, Kohonen competitive neural networks, detecting if the ECG shows any cardiac arrhythmia. In fact, it is possible to classify an ECG signal and thereby detect if it is exhibiting or not any alteration, according to normality.

Publication types

Evaluation Study
Research Support, Non-U.S. Gov't
Validation Study

MeSH terms

Algorithms*
Arrhythmias, Cardiac / classification
Arrhythmias, Cardiac / diagnosis*
Diagnosis, Computer-Assisted / methods*
Humans
Neural Networks, Computer*
Pattern Recognition, Automated / methods*
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted