Please use this identifier to cite or link to this item:
Title: Cardiac pathologies detection over FPGA using electrocardiogram
Authors: Vázquez-Sedano, Ariadna
Pérez-Suárez, Santiago T. 
Travieso-González, Carlos M. 
Alonso-Hernández, Jesús B. 
UNESCO Clasification: 3306 Ingeniería y tecnología eléctricas
Keywords: Discrete wavelet transform, Electrocardiogram, Field programmable gate array, Artificial neural network, Simulink, Xilinx, System generator
Issue Date: 2012
Journal: BIOSIGNALS 2012 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing
Conference: International Conference on Bio-inspired Systems and Signal Processing, BIOSIGNALS 2012 
Abstract: 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.
ISBN: 9789898425898
Source: BIOSIGNALS 2012 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing, p. 360-364
Appears in Collections:Actas de congresos
Show full item record


checked on Apr 14, 2024

Page view(s)

checked on Mar 3, 2024

Google ScholarTM




Export metadata

Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.