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ECG compression with block encoding

This paper presents an electrocardiogram (ECG) frame (beat) compression scheme using block encoding and windowed-variance techniques, where the ECG frame has already been classified. Compression of the complicated ECG frame is converted into a linear time registration problem of segments in this scheme. The segment in the frame is detected and partitioned by the windowed-variance technique. It is computationally inexpensive. A high compression ratio of nearly 50:1 is achieved and not related to the reconstruction error. The normalized percent root-mean-square difference is about 2.53% for a 10-minute ECG recording.