Abstract
An ECG sampled at a rate of 360 samples s^{1} or more produces a large amount of redundant data that are difficult to store and transmit; we therefore need a process to represent the signals with clinically acceptable fidelity and with as small a number of code bits as possible. In this paper, a realtime ECG datacompression algorithm, AZTDIS, is presented. AZTDIS is an efficient algorithm which locates significant samples and at the same time encodes linear segments between them by using linear interpolation. The significant samples selected include, but are not limited to, the samples that have significant displacement from the encoded signal such that the allowed maximal error is limited to a constant ε{lunate}, which is specified by the user. The way that AZTDIS computes the displacement of a sample from the encoded signal guarantees that the high activity regions are more accurately coded. The results from AZTDIS are compared with those from the wellknown datacompression algorithm, AZTEC, which is also a realtime algorithm. It is found that under the same bit rate, a considerable improvement of rootmeansquare error (RMS_{err}) can be achieved by employing the proposed AZTDIS algorithm. An average value of RMS_{err} of 9.715 can be achieved even at an average bit rate of 0.543 bits per sample by employing AZTDIS. By tuning the allowed maximal error of AZTDIS such that it has similar bit rate to AZTEC, the average value of RMS_{err} achieved by AZTDIS is 5.554 while the average value of RMS_{err} achieved by AZTEC under the same bit rate is 19.368.
Original language  English 

Pages (fromto)  510515 
Number of pages  6 
Journal  Journal of Biomedical Engineering 
Volume  15 
Issue number  6 
DOIs 

Publication status  Published  1993 Jan 1 
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All Science Journal Classification (ASJC) codes
 Biophysics