Resumen

BALLESTEROS, Dora M; MORENO, Diana Marcela  y  GAONA, Andrés E. FPGA compression of ECG signals by using modified convolution scheme of the Discrete Wavelet Transform. Ingeniare. Rev. chil. ing. [online]. 2012, vol.20, n.1, pp. 8-16. ISSN 0718-3305.  doi: 10.4067/S0718-33052012000100002.

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.

Palabras clave : ECG signal; Discrete Wavelet Transform; compression ratio; efficient convolution scheme; quality score.