Key result
A new direct data compression technique using non-redundant templates achieved a compression factor of 8 at 500 Hz or 16 at 1000 Hz while retaining 100% of the original signal morphology.
A novel ECG data compression technique achieves high compression ratios (up to 16x) while retaining 100% of morphological information.
May enable efficient ECG data handling; leaves open clinical validation before routine use.
This paper presents a new direct data compression technique which has been developed to perform the compression by down-sampling the ECG signal in steps by using a non-redundant template. The removed data samples in the process of down-sampling are stored in a data array as non-redundant template. The complete information about the samples amplitude and duration is retained in the compressed samples. The signal is compressed by a factor of 8 for the signal sampled at 500 Hz or 16 for the signal sampled at 1000 Hz. It has been noted that 100 percent information of the morphology of the original signal is retained in the reconstructed signal. The method is consistent and reliable and can be used for both online and offline ECG data compression.
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Saxena et al. (2000) studied ECG data compression. ECG data compression using non-redundant templates was evaluated on Data compression factor and morphology retention. A new direct data compression technique using non-redundant templates achieved a compression factor of 8 at 500 Hz or 16 at 1000 Hz while retaining 100% of the original signal morphology.
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