摘要： 针对血液分析仪对血细胞各个参数检测线性偏差较大的问题,提出一种血细胞特性曲线分段拟合算法。根据血液分析仪检测值与理论值的对应关系,针对不同段的数据,进行分段线性拟合,再根据2 条线性曲线段衔接处的3 个数据点,采用最小二乘法多项式拟合算法进行过度曲线拟合,实现不同线性段间的平滑过渡,从而避免不同曲线交叉点的跳跃现象。实验结果表明,该方法简单、实用,拟合后的血细胞线性偏差优于血液分析仪行业标准的要求,满足临床应用的需要。
关键词:
血细胞检测,
分段曲线拟合,
最小二乘法,
血液分析仪,
线性偏差,
数据采集
Abstract: According to the linear deviation problem of blood cells parameters detection for the hematology analyzer,a
piecewise curve fitting method of blood cells is put forward in the paper. Based on the one-to-one relationship between the original value for all kinds of blood cells which are detected by the hematology analyzer and the theoretical value,for piecewise linear fitting according to the data of different period. In order to avoid the jump phenomena of different curve intersection,using three data points of the two linear curve segment intersection to fitting polynomial by Least Square Method(LSM),to realize the smooth transition between different linear segment. Experimental results show that the algorithm is simple,practical and the fitting curve linear deviation is better than the requirements of hematology analyzer industry standard. In addition,it can fully meet the needs of the clinical application.
Key words:
blood corpuscle examination,
piecewise curve fitting,
Least Square Method(LSM),
hematology analyzer,
linear deviation;data acquisition
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