Key result
Wavelet and wavelet packet-based compression algorithms preserved clinically useful information in ECG signals at 8:1 compression, and in most cases at 16:1 compression.
Why the study?
Does wavelet and wavelet packet compression preserve clinically useful information in Holter ECG data?
Does wavelet and wavelet packet compression preserve clinically useful information in Holter ECG data?
Wavelet-based compression algorithms can achieve 8:1 to 16:1 compression of Holter ECG data while preserving clinically useful information.
Hypothesis-generating for wavelet ECG compression; larger validation trials needed before clinical adoption.
Wavelets and wavelet packets have recently emerged as powerful tools for signal compression. Wavelet and wavelet packet-based compression algorithms based on embedded zerotree wavelet (EZW) coding are developed for electrocardiogram (ECG) signals, and eight different wavelets are evaluated for their ability to compress Holter ECG data. Pilot data from a blind evaluation of compressed ECG's by cardiologists suggest that the clinically useful information present in original ECG signals is preserved by 8:1 compression, and in most cases 16:1 compressed ECG's are clinically useful.
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Michael Hilton (1997) studied Electrocardiogram (ECG) signals. Wavelet and wavelet packet-based compression algorithms vs. Original ECG signals was evaluated on Preservation of clinically useful information. Wavelet and wavelet packet-based compression algorithms preserved clinically useful information in ECG signals at 8:1 compression, and in most cases at 16:1 compression.
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