• On the improved correlative prediction scheme for aliased electrocardiogram (ECG) data compression

      Gao, Xin; Univ Arizona, Dept Elect & Comp Engn (IEEE, 2012-11-12)
      An improved scheme for aliased electrocardiogram (ECG) data compression has been constructed, where the predictor exploits the correlative characteristics of adjacent QRS waveforms. The twin-R correlation prediction and lifting wavelet transform (LWT) for periodical ECG waves exhibits feasibility and high efficiency to achieve lower distortion rates with realizable compression ratio (CR); grey predictions via GM(1, 1) model have been adopted to evaluate the parametric performance for ECG data compression. Simulation results illuminate the validity of our approach.