Gürkan, HakanGüz, ÜmitYarman, Bekir Sıddık Binboğa2019-08-312019-08-052019-08-312019-08-052010Gürkan, H., Güz, Ü. & Yarman, B. S. B. (2010). A novel hybrid electrocardiogram signal compression algorithm with low bit-rate. Paper presented at the Lecture Notes in Electrical Engineering, 62, 95-98. doi:10.1007/978-90-481-9794-1_191876-1100https://hdl.handle.net/11729/1961https://dx.doi.org/10.1007/978-90-481-9794-1_19In this paper, a novel hybrid Electrocardiogram (ECG) signal compression algorithm based on the generation process of the Variable-Length Classified Signature and Envelope Vector Sets (VL-CSEVS) is proposed. Assessment results reveal that the proposed algorithm achieves high compression ratios with low level reconstruction error while preserving diagnostic information in the reconstructed ECG signal. The proposed algorithm also slightly outperforms others for the same test dataset.eninfo:eu-repo/semantics/closedAccessAlgorithmsBit ratesClassified and envelope vector setsData setsData compressionDiagnostic informationECG segmentationECG signalsElectrocardiogramElectrocardiogram signalElectrocardiographyElectrochromic devicesEnergy based ECG segmentationGeneration processHigh compression ratioInformation scienceLow levelReconstruction errorSignal compressionStatistical testsConference Object6295982-s2.0-7865157345910.1007/978-90-481-9794-1_19Q4