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A Novel Cycle-pool Based Compression Method for 1-dimensional Semi-periodical Biomedical SignalsAbstractThe method presented in this paper is, conceptually, an extension of dictionary-based text coding to the semi-periodical signal domain. A pool of cycles is used as the dictionary in this case. If a pool cycle matches a signal cycle within a given error criteria, it replaces it in the reconstructed signal. If a satisfactory match cannot be achieved, the signal cycle is placed as is in the compressor's output.In order to be able to replace a signal cycle with one that occurred in the past we introduce a transformation method that enables us to preserve a number of pre-selected measurable features in the reconstructed signal. In addition to the above, the method presented, exhibits some unique characteristics: unusual waveforms in the input signal ( like in arrhythmia ) are preserved exactly, and the reconstructed signal always 'looks' like the original, i.e. no staircase effect is present. The method is suitable for both lossless and lossy compression. |