Authors:
Ariadna Vázquez-Sedano
;
Santiago T. Pérez-Suárez
;
Carlos M. Travieso-González
and
Jesús B. Alonso-Hernández
Affiliation:
Institute for Technological Development and Innovation in Communications and University of Las Palmas de Gran Canaria, Spain
Keyword(s):
Electrocardiogram, Discrete wavelet transform, Artificial neural network, Field programmable gate array, Xilinx, System generator, Simulink.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Applications and Services
;
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Biometrics
;
Biometrics and Pattern Recognition
;
Cardiovascular Signals
;
Computational Intelligence
;
Computer Vision, Visualization and Computer Graphics
;
Data Manipulation
;
Detection and Identification
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Methodologies and Methods
;
Multimedia
;
Multimedia Signal Processing
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Real-Time Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Telecommunications
;
Theory and Methods
;
Wavelet Transform
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.