I want to known the importance of beat-to-beat correlation in 2D ECG Signal Compression (When construct the 1D signal to 2D image). If segments are not correlated to each other, what is the effect on compression as well as signal reconstruction?
If the segments are not corelated than the problem in analysis is occur when you get back the original waveform and this will also change the heat beat due to the variable segment.
If You don't take into account inter-channel correlation (do not adjest different lead signals before compressing them by 2D methods), then You can't fully benefit from this correlation and loose either in compression ratio (for a fixed level of introduced distortions) or in introduced distortions for fixed compression ratio. If You need more data, please write to [email protected], I will try to find one my old paper "Lossy compression of multichannel ECG based on 2-D DCT and pre-processing "
V. Lukin, M. Zriakhov, A. A. Zelensky, K. Egiazarian, A. Varri
We propose and analyze a novel efficient technique for lossy compression of multichannel ECG records that provides a reasonable trade-off between distortions introduced and compression ratio provided. This technique exploits inter-channel correlation of signals in cardio-complex leads by means of using a 2-D DCT and special operations of data pre-processing that improve compression performance. Real practical examples proving the proposed coder efficiency are presented.