The results of the test data indicate that the prediction system is reliable and the root of mean square error is about 15%.
对测试数据的预测结果表明，该预测系统能够可靠工作，预测结果的均方根误差在15%左右。
A novel electrocardiogram compression algorithm based on minimum root-mean-square error prediction utilizing the correlation of adjacent QRS wave is proposed.
本文提出了一种利用相邻QRS波的相关性进行最小均方差预测的心电图压缩算法。
The correlation coefficients (r) and root mean square error of prediction (RMSEP) were used as the model evaluation indices.
以预测集的预测相关系数(r)，预测标准偏差(RMSEP)作为模型评价指标。
The results of the test data indicate that the prediction system is reliable and the root of mean square error (RMSE) is about 15%.
对测试数据的预测结果表明，该预测系统能够可靠工作，预测结果的均方根 误差在 15%左右。
The results of the test data indicate that the prediction system is reliable and the root of mean square error (RMSE) is about 15%.
对测试数据的预测结果表明，该预测系统能够可靠工作，预测结果的均方根 误差在 15%左右。
应用推荐