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    • 36. 发明授权
    • Automatic analyzer
    • 自动分析仪
    • US09383376B2
    • 2016-07-05
    • US13133655
    • 2009-11-11
    • Kumiko KamiharaTomonori Mimura
    • Kumiko KamiharaTomonori Mimura
    • G06F17/18G01N35/00
    • G01N35/00693G01N35/00603G06F17/18
    • Abnormality causes are automatically identified during daily quality control, based on the focused consideration of complex uncertainty factors and, especially, of the causes of device-side abnormalities, the latter of which are often difficult to identify. The analyzer performance that affects measurement results can be estimated from analysis parameters and calibration results. Thus, uncertainty estimates are automatically calculated for each analysis item during quality control, and the estimates are compared with uncertainties obtained during actual QC sample measurement, thereby monitoring and evaluating the analyzer performance. Also, measurements are performed on QC samples of multiple concentrations that contain substances known to subject to particular influences such as those of the optical system, sample dispenser, and reagent dispenser, so that the causes of abnormalities can be identified. Uncertainty estimates calculated from the parameters set for the analysis items are compared with uncertainties obtained from the QC sample measurements.
    • 基于对复杂不确定性因素的重点考虑,特别是器件方异常的原因,后者通常难以识别,在日常质量控制过程中自动识别异常原因。 影响测量结果的分析仪性能可以通过分析参数和校准结果进行估算。 因此,在质量控制期间,为每个分析项目自动计算不确定性估计,并将估计与实际QC样品测量期间获得的不确定性进行比较,从而监测和评估分析仪性能。 此外,对含有已知会受到光学系统,样品分配器和试剂分配器的特定影响的物质的多种浓度的QC样品进行测量,从而可以识别出异常的原因。 将从分析项目设置的参数中计算出的不确定度估计与从QC样本测量获得的不确定性进行比较。
    • 37. 发明授权
    • Automatic analyzer and analysis method
    • 自动分析仪和分析方法
    • US09310388B2
    • 2016-04-12
    • US13318535
    • 2010-04-12
    • Kumiko KamiharaSatoshi MitsuyamaTomonori MimuraChihiro Manri
    • Kumiko KamiharaSatoshi MitsuyamaTomonori MimuraChihiro Manri
    • G01C19/00G01N35/00G01N21/27
    • G01N35/00603G01N21/272
    • In known automatic analyzers for detecting an abnormality by approximating reaction process data using a function, accuracy of detecting a reaction abnormality is degraded because of poor approximation accuracy depending on test items. Data processing means stores the absorbance and time of day at which the absorbance is measured as time-series data. Letting x denote absorbance, t denote time, and * denote a symbol representing multiplication, we have a function x=a0+a1*exp(−k1*t)+a2*exp(−k2*t). Values of parameters a0, a1, a2, ai, k1, and k2 are calculated so that a difference between the absorbance at the measured time calculated using the above expression and the time-series data is minimal, and presence of an abnormality is determined based on the parameter values.
    • 在用于通过使用功能近似反应过程数据来检测异常的已知的自动分析器中,由于根据测试项目的近似精度不足,检测反应异常的精度降低。 数据处理装置将吸光度和吸光度时间的时间存储为时间序列数据。 令x表示吸光度,t表示时间,*表示表示乘法的符号,我们有函数x = a0 + a1 * exp(-k1 * t)+ a2 * exp(-k2 * t)。 计算参数a0,a1,a2,ai,k1和k2的值,使得使用上述表达式计算的测量时间的吸光度与时间序列数据之间的差异最小,并且基于 对参数值。
    • 40. 发明授权
    • Automatic analzyer
    • 自动分析仪
    • US08150645B2
    • 2012-04-03
    • US12362818
    • 2009-01-30
    • Kumiko KamiharaTomonori MimuraShinichi Fukuzono
    • Kumiko KamiharaTomonori MimuraShinichi Fukuzono
    • G06F17/18
    • G01N35/00663Y10T436/101666
    • Measurement of the uncertainty used for quality control typically involves a plurality of factors. When the uncertainty exceeds a clinical permissible value, time is required for a medical technologist to investigate and to determine the factor causing the uncertainty. It is thus beneficial to automatically investigate factors in complicated uncertainty, particularly from the view point of reagents and samples which are subject to quality change and that are prone to affect the measurement quality. Quality control samples having a plurality of concentration levels are measured to calculate the average, coefficient of variation, standard deviation, and other numerical values. When quality control samples having n (n≧2) different concentration levels are measured, variation patterns determine the factor causing the uncertainty, the factor being specific to each of 3n different combinations of variation patterns.
    • 用于质量控制的不确定度的测量通常涉及多个因素。 当不确定性超过临床允许值时,医疗技术人员需要时间调查并确定导致不确定性的因素。 因此,自动调查复杂不确定因素的因素是有益的,特别是从质量变化的试剂和样品的角度出发,容易影响测量质量。 测量具有多个浓度水平的质量控制样品以计算平均值,变异系数,标准偏差和其它数值。 当测量具有n(n≥2)不同浓度水平的质量控制样品时,变化模式确定导致不确定性的因素,该因子特异于3n个不同组合的变化模式。