中文说明： 在这篇文章中，两种算法介绍了适用于实时的生物医学信号压缩。这些被、 幅度阈值压缩和 SQ 分割压缩。结果表明这些方法与众所周知的方法，如有损离散余弦变换 （DCT） 和无损的转捩点 （TP） 的比较。压缩方法产出，重构了利用三次样条逼近和比较。压缩比 （CR） 的值，%意味着选择方差 （珠三角） 及面积标准为方法的比较。这里显示的方法 这里 （门槛，SQ 段） 提供相当低 CR 值比离散余弦变换法和 CR 值稍高比茶多酚的方法。然而，这两种拟议的方法的珠三角值是低于参考方法离散余弦变换和磷的珠三角值
English Description：
In this article, two algorithms are described that are suited for real-time biomedical signal compression. These being, Amplitude Threshold compression and SQ segment compression. Comparison of these methods with well known methods such as lossy Discrete Cosine Transform (DCT) and lossless Turning Point (TP) is shown. The compression method outputs were reconstructed using a cubic spline approximation and compared. The values of compression ratio (CR), percent mean square difference (PRD) and area criteria were chosen for method comparison. Here it is shown that the method presented Here (Threshold, SQ segment) provide considerably lower CR values than the DCT method and slightly higher CR values than the TP method. However, the PRD value for both proposed methods is lower than the PRD values of reference methods DCT and TP.