FPGA compression of ECG signals by using modified convolution scheme of the Discrete Wavelet Transform

This paper presents FPGA design of ECG compression by using the Discrete Wavelet Transform (DWT) and one lossless encoding method. Unlike the classical works based on off-line mode, the current work allows the real-time processing of the ECG signal to reduce the redundant information. A model is dev...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Ballesteros,Dora M, Moreno,Diana Marcela, Gaona,Andrés E
Lenguaje:	English
Publicado:	Universidad de Tarapacá. 2012
Materias:	ECG signal Discrete Wavelet Transform compression ratio efficient convolution scheme quality score
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052012000100002
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:scielo:S0718-33052012000100002
record_format	dspace
spelling	oai:scielo:S0718-330520120001000022012-06-28FPGA compression of ECG signals by using modified convolution scheme of the Discrete Wavelet TransformBallesteros,Dora MMoreno,Diana MarcelaGaona,Andrés E ECG signal Discrete Wavelet Transform compression ratio efficient convolution scheme quality score This paper presents FPGA design of ECG compression by using the Discrete Wavelet Transform (DWT) and one lossless encoding method. Unlike the classical works based on off-line mode, the current work allows the real-time processing of the ECG signal to reduce the redundant information. A model is developed for a fixed-point convolution scheme which has a good performance in relation to the throughput, the latency, the maximum frequency of operation and the quality of the compressed signal. The quantization of the coefficients of the filters and the selected fixed-threshold give a low error in relation to clinical applications.info:eu-repo/semantics/openAccessUniversidad de Tarapacá.Ingeniare. Revista chilena de ingeniería v.20 n.1 20122012-04-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052012000100002en10.4067/S0718-33052012000100002
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	ECG signal Discrete Wavelet Transform compression ratio efficient convolution scheme quality score
spellingShingle	ECG signal Discrete Wavelet Transform compression ratio efficient convolution scheme quality score Ballesteros,Dora M Moreno,Diana Marcela Gaona,Andrés E FPGA compression of ECG signals by using modified convolution scheme of the Discrete Wavelet Transform
description	This paper presents FPGA design of ECG compression by using the Discrete Wavelet Transform (DWT) and one lossless encoding method. Unlike the classical works based on off-line mode, the current work allows the real-time processing of the ECG signal to reduce the redundant information. A model is developed for a fixed-point convolution scheme which has a good performance in relation to the throughput, the latency, the maximum frequency of operation and the quality of the compressed signal. The quantization of the coefficients of the filters and the selected fixed-threshold give a low error in relation to clinical applications.
author	Ballesteros,Dora M Moreno,Diana Marcela Gaona,Andrés E
author_facet	Ballesteros,Dora M Moreno,Diana Marcela Gaona,Andrés E
author_sort	Ballesteros,Dora M
title	FPGA compression of ECG signals by using modified convolution scheme of the Discrete Wavelet Transform
title_short	FPGA compression of ECG signals by using modified convolution scheme of the Discrete Wavelet Transform
title_full	FPGA compression of ECG signals by using modified convolution scheme of the Discrete Wavelet Transform
title_fullStr	FPGA compression of ECG signals by using modified convolution scheme of the Discrete Wavelet Transform
title_full_unstemmed	FPGA compression of ECG signals by using modified convolution scheme of the Discrete Wavelet Transform
title_sort	fpga compression of ecg signals by using modified convolution scheme of the discrete wavelet transform
publisher	Universidad de Tarapacá.
publishDate	2012
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052012000100002
work_keys_str_mv	AT ballesterosdoram fpgacompressionofecgsignalsbyusingmodifiedconvolutionschemeofthediscretewavelettransform AT morenodianamarcela fpgacompressionofecgsignalsbyusingmodifiedconvolutionschemeofthediscretewavelettransform AT gaonaandrese fpgacompressionofecgsignalsbyusingmodifiedconvolutionschemeofthediscretewavelettransform
_version_	1714203395294756864

FPGA compression of ECG signals by using modified convolution scheme of the Discrete Wavelet Transform

Ejemplares similares