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In this paper, we propose an efficient electrocardiogram (ECG) compression algorithm with the advantages of high-accuracy and high-compressing-ratio. The ECG signal sources are employed by the MIT-BIH arrhythmia database with a sampling rate of 360 Hz, and then we transform these ECG signals from time domain into frequency domain by using 64-point the type IV of Discrete Cosine Transform (DCT-IV),...
This paper presents a new efficient DCT-IV-based ECG compression algorithm with a higher Quality Score (QS) and a better Compressing Ratio (CR). The ECG signals sourced from MIT-BIT arrhythmia database with a sampling rate of 360 Hz are employed to be the test patterns for the evaluating the proposed compression algorithm. The simulation results show that the averages of CR, Percent RMS Difference...
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