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

dc.creator	Ballesteros,Dora M
dc.creator	Moreno,Diana Marcela
dc.creator	Gaona,Andrés E
dc.date	2012-04-01
dc.date.accessioned	2019-04-24T21:28:18Z
dc.date.available	2019-04-24T21:28:18Z
dc.identifier	https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0718-33052012000100002
dc.identifier.uri	http://revistaschilenas.uchile.cl/handle/2250/58769
dc.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.
dc.format	text/html
dc.language	en
dc.publisher	Universidad de Tarapacá.
dc.relation	10.4067/S0718-33052012000100002
dc.rights	info:eu-repo/semantics/openAccess
dc.source	Ingeniare. Revista chilena de ingeniería v.20 n.1 2012
dc.subject	ECG signal
dc.subject	Discrete Wavelet Transform
dc.subject	compression ratio
dc.subject	efficient convolution scheme
dc.subject	quality score
dc.title	FPGA compression of ECG signals by using modified convolution scheme of the Discrete Wavelet Transform