Compression Of Electrocardiogram Signals

The compression of ECG has been an prime research interest for scientists over the past several decades. In the thesis through processing ECG using DCT, DWT and DWPT, we found it is not enough only by choosing certain transform method to compress ECG very well. The processing of the coefficients after transform is more important. We put forward an adapted wavelet packet transform method-- adapted wavelet packet transform based on R-D rule which selects the best wavelet packet base according to R-D rule, in which best quantization method and Huffman coding are used. This method produces the best compression version such that the error upon reconstruction is within an upper bound fixed a given value and obtains satisfactory compression results. It also makes a foundation for real-time processing on the DSP in the future.