Berti E, Chiaraluce F, Evans N E, McKee J J
General Impianti, Moie di Maiolati, AN, Italy.
IEEE Trans Biomed Eng. 2000 Nov;47(11):1543-7. doi: 10.1109/10.880108.
This work presents an electrocardiogram ECG data reduction method based on Walsh spectrum double logarithmic quantization. The technique is theoretically justified for a simulated ECG and its practical efficiency confirmed using MIT/BIH arrhythmia database signals. By classifying a "good" compression as one with MSE < or = 0.005 for 1:1 spectral reduction, a normal/abnormal ECG mix returned an 87% success rate for waveforms stored with 8- to 11-bit resolution.
这项工作提出了一种基于沃尔什谱双对数量化的心电图（ECG）数据缩减方法。该技术在理论上对模拟心电图是合理的，并且使用麻省理工学院/贝斯以色列女执事医疗中心（MIT/BIH）心律失常数据库信号证实了其实际效率。对于1:1频谱缩减，将“良好”压缩定义为均方误差（MSE）≤0.005，对于以8至11位分辨率存储的波形，正常/异常心电图混合样本的成功率为87%。
