This research paper presents an
Electrocardiography (ECG) compression based on
optimized quantization of Fast Fourier Transform
(FFT) coefficients. The ECG to be compressed is
partitioned in blocks of fixed size, and each FFT
block is quantized using a quantization vector that
are specifically defined for each signal. The
Percent Root-Mean-Square Difference (PRD) was
adopted as a measure of the distortion introduced
by the compressor. We also present traces of test
signals before and after the
compression/decompression process. The results
show that the proposed method achieves good
compression ratios (CR). The objective is realized
by constructing and designing an algorithm &
software for compression which would enable
optimal storage of ECG signals in the database for
future references.