Lossless Compression of Ecg Signals
نویسندگان
چکیده
In this paper we study the compression techniques for electrocardiogram (ECG) signals based on Block Sorting Techniques. We introduce a new and faster block transformation than the Burrows and Wheeler Transformation (BWT), and later compare them for ECG data compression. We show that our algorithm yields better compression gain than the Burrows and Wheeler’s algorithm (BWA), Gzip and the Shorten waveform coder for lossless ECG data compression.
منابع مشابه
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تاریخ انتشار 2004