| Autor: |
Leite CR; Department of Informatics - Universidade do Estado do Rio Grande do Norte (UERN) and Mater Christi Faculty of Science and Tecnology - Mossoró, Brazil Mossoró, Brazil. ciciliamaia@dca.ufm.br, Martin DL, Sizilio GR, Dos Santos KE, de Araujo BG, Valentim RA, Neto AD, de Melo JD, Guerreiro AM |
| Jazyk: |
angličtina |
| Zdroj: |
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2010; Vol. 2010, pp. 1386-9. |
| DOI: |
10.1109/IEMBS.2010.5626728 |
| Abstrakt: |
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. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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