FPGA-based implementation of the instantaneus frequency estimation of phonocardiographic signals
Author
Hernández Esteban, Andrés; Toledo Moreo, Francisco Javier; Martínez Cabeza De Vaca Alajarín, Juan de la Cruz; Martínez Álvarez, José Javier; Ruiz Merino, Ramón JesúsResearch Group
Diseño Electrónico y Técnicas de Tratamiento de SeñalesKnowledge Area
Arquitectura y Tecnología de ComputadorasElectrónicaSponsors
This work has been supported by Fundación Séneca of Región de Murcia and Ministerio de Ciencia y Tecnología of Spain, under grants PB/63/FS/02 and TIC2003-09400-C04-02, respectively.Publication date
2004-11Publisher
International Federation of Automatic ControlBibliographic Citation
HERNÁNDEZ ESTEBAN, Andrés et al. FPGA-based implementation of the instantaneus frequency estimation of phonocardiographic signals. En: IFAC Workshop on programmable devices and systems (2004: Cracovia, Polonia) Programmable devices and systems 2004 (PDS 2004): proceedings: Cracow, Poland, 18-19 November, 2004. Oxford: International Federation of Automatic Control: Pergamon, 2004. Pp. 423-428. ISBN 83-908409-8-7Keywords
Frecuencias de análisis de señalAlgoritmos de procesamiento de señal
Sistema de diseño asistido por ordenador
Transformada de Hilbert
Frecuencias instantáneas
FPGA
Señales fonocardiográficas
Frequency signal analysis
Signal processing algorithms
Computer-aided system design
Hilbert transform
Instantaneous frequency
Phonocardiographic signal
Abstract
The instantaneous frequency can be used to provide information about how the
frequency content of the phonocardiogram signal varies in time, in order to characterize
the heart sounds and murmurs. The instantaneous frequency of a signal can be calculated
from the discrete Hilbert transform, computed through the moving discrete Hartley
transform, which reduces the computation time. To compute in real time the instantaneous
frequency, the algorithms have been implemented in a FPGA device, exploiting the high
performance and flexibility of reconfigurable hardware. The results obtained from the
FPGA show high accuracy in comparison to those computed with Matlab
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