Adaptive vector quantisation for electrocardiogram signal compression using overlapped and linearly shifted codevectors

2000 ◽  
Vol 38 (5) ◽  
pp. 547-552 ◽  
Author(s):  
S. -G. Miaou ◽  
J. -H. Larn
Keyword(s):  
Signal Compression ◽  
Vector Quantisation ◽  
Electrocardiogram Signal

NEW SPIHT-BASED ALGORITHM FOR ELECTROCARDIOGRAM SIGNAL COMPRESSION

2019 ◽  
Vol 19 (03) ◽  
pp. 1950005
Author(s):  
ABDELNOUR BOUKAACHE ◽  
NOUREDDINE DOGHMANE ◽  
DJALIL BOUDJEHEM
Keyword(s):  
Original Method ◽  
Numerical Results ◽  
Set Partitioning ◽  
Ecg Signal ◽  
Signal Compression ◽  
Type Formula ◽  
Hierarchical Trees ◽  
Electrocardiogram Signal ◽  
Spiht Algorithm ◽  
Electrocardiogram Ecg

In this paper, we propose an electrocardiogram (ECG) signal compression algorithm that is based on wavelet and a new modified set partitioning in hierarchical trees (SPIHT) algorithm. The proposed algorithm contains a preprocessing of the approximation subband before the coding step by mean removing. Three other modifications are also introduced to the SPIHT algorithm. The first one is a new initialization of the two lists of insignificant points (LIP) and insignificant sets (LIS), while the second is concerning the position of inserting new entries of type [Formula: see text] at the LIS, and in the last one, the redundancy in checking type [Formula: see text] entries in the original method was found and avoided. The new proposed coding algorithm is applied to ECG signal compression and the obtained numerical results on the MIT-BIH database show the efficient performances of the proposed SPIHT algorithm over the original method and other existing methods.

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