Lossless compression of ECG signals

In this paper the authors study the compression techniques for electrocardiogram (ECG) signals based on Block Sorting Techniques. They introduce a new and faster block transformation than the Burrows and Wheeler Transformation (BWT), and later compare them for ECG data compression. They show that their algorithm yields better compression gain than the Burrows and Wheeler's algorithm (BWA), Gzip and the Shorten waveform coder for lossless ECG data compression.