Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/44031
Título: | Cardiac pathologies detection over FPGA using electrocardiogram | Autores/as: | Vázquez-Sedano, Ariadna Pérez-Suárez, Santiago T. Travieso-González, Carlos M. Alonso-Hernández, Jesús B. |
Clasificación UNESCO: | 3306 Ingeniería y tecnología eléctricas | Palabras clave: | Discrete wavelet transform, Electrocardiogram, Field programmable gate array, Artificial neural network, Simulink, Xilinx, System generator | Fecha de publicación: | 2012 | Publicación seriada: | BIOSIGNALS 2012 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing | Conferencia: | International Conference on Bio-inspired Systems and Signal Processing, BIOSIGNALS 2012 | Resumen: | In this work is presented an implementation of an automatic detection system for the heart diseases over a field programmable gate array (FPGA). The system is able to process, analyse and classify the cardiac pathologies in real time from electrocardiogram (ECG). These algorithms principally are based on Digital Wavelet Transform (DWT) techniques, and Principal Component Analysis (PCA). Finally, cardiac pulse detection and classification algorithms have been implemented in an Artificial Neural Network (ANN). Furthermore, the subjectivity problem in the heart disease diagnosis is solved, and the task of heart specialist is facilitated. | URI: | http://hdl.handle.net/10553/44031 | ISBN: | 9789898425898 | Fuente: | BIOSIGNALS 2012 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing, p. 360-364 |
Colección: | Actas de congresos |
Citas SCOPUSTM
1
actualizado el 25-ago-2024
Visitas
68
actualizado el 04-may-2024
Google ScholarTM
Verifica
Altmetric
Comparte
Exporta metadatos
Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.