A multilead electrocardiography (ECG) data compression method is presented, which applies a linear transform to the standard ECG lead signals and compressed using various coding methods, including multirate signal processing and transform domain coding techniques.
Abstract:
A multilead electrocardiography (ECG) data compression method is presented. First, a linear transform is applied to the standard ECG lead signals, which are highly correlated with each other. In this way a set of uncorrelated transform domain signals is obtained. Then, the resulting transform domain signals are compressed using various coding methods, including multirate signal processing and transform domain coding techniques. >
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TL;DR: It is demonstrated that for the low sample rate and coarse quantization required for ambulatory recording, without sufficient temporal resolution in beat location, beat subtraction does not significantly improve compression, and may even worsen compression performance.
Q1. What contributions have the authors mentioned in the paper "Multichannel ecg data compression by multirate signal processing and transform domain coding techniques" ?
Abs/Tact-In this paper, a multilead ECG data compression method is presented, First, a linear transform is applied to the standard ECG lead signals which are highly correlated with each other.
Q2. What is the purpose of the preprocessor?
The preprocessor discards the redundant channels, III, AVR, AVL and AVF, and rearranges the order of the ECG channels in order to bring correlated channels close to each other.
Q3. What is the purpose of the multichannel compression method?
After preprocessing the input signals, the resulting discrete-time sequences are linearly transformed into another set of sequences.
Q4. What is the purpose of the reordering of the ECG signals?
During a cardiac cycle it is natural to expect high correlation among precordial leads so the channels VI • . . " V6 are selected as the first 6 signals, i.e., Xi-J = Vi, i = 1,2,···,6.
Q5. What is the purpose of the reordering of the ECG channels?
In this block, the ECG channels are linearly transformed to another domain, and 8 new transform domain signals Yi, i = 0,1,···.7, which are significantly less correlated (ideally uncorrelated) than the ECG signal set, Xi, i = 0, 1,···,7, are obtained.
Q6. What is the optimum transform for the preprocessor?
Let xk(m), k = 0, 1,···, N -1 (N is equal to eight in their case), be the reordered ECG signal samples at discrete time instant m, the transform domain samples at time instant m are given as follows:(I)where y� [yo(m), . . · 'YN-l(mW,X� [xo(m), .. ·, xN-dm)p', and A is the N x N transform matrix.