ECG compression algorithm based on empirical mode decomposition

作者：Yang, Dan; Qin, Meng Zhi; Xu, Bin

来源：International Journal of Signal Processing, Image Processing and Pattern Recognition, 2015, 8(2): 165-174.

DOI：10.14257/ijsip.2015.8.2.17

• Biomedical signal
• Compression algorithms
• ECG compression
• Empirical Mode Decomposition
• MIT-BIH
• Post processing
• Root Mean Square
• Root mean square differences

A compression algorithm based on Empirical Mode Decomposition (EMD) is described in order to investigate the performance of EMD in biomedical signals, and especially in the case of electrocardiogram (ECG). The proposed algorithm is computationally simple to treat non-stationary and nonlinear data without pre- or post-processing. In order to evaluate the performance of the proposed compression algorithm, MIT-BIH arrhythmia database is applied, and the compress ratio (CR), percent root mean square difference (PRD), percent root mean square difference normalized (PRDN), root mean square (RMS), signal to noise ratio (SNR), and quality score (QS) values are obtained. When compared, good fidelity parameters are yielded with high CR as compared to wavelet transform (WT).

• 出版日期2015
• 单位东北大学; Northeastern university; 合肥工业大学