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通过二进制编码传送心电图目前应用已很普遍,所得结果远比用旧的调频方法要好。然而由于对心电图的采样率一般为每秒200～250次,因此数据量大,造成实时传送的困难。因此要求对心电图的数据作压缩。目前提出的压缩算法大致可分三类:1.对数据作直接处理(如TP法,AZTEC法、CORTES法、6编码法,带门限的6编码法等);2.变换法(如富氏分解、沃氏分解、cosine分解
The current application of ECG transmission through binary coding has been very common, the result is far better than the old FM method. However, due to the sampling rate of the ECG is generally 200 to 250 times per second, so the amount of data, resulting in real-time transmission difficulties. Therefore, the compression of ECG data is required. Currently proposed compression algorithm can be divided into three categories: 1. Data for direct processing (such as the TP method, AZTEC method, CORTES method, 6 coding method, with a threshold of 6 coding, etc.); 2 transform method Decomposition, Walkers decomposition, cosine decomposition