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    • 1. 发明申请
    • Magnetocardiograph
    • 心电图仪
    • US20050192502A1
    • 2005-09-01
    • US11042202
    • 2005-01-26
    • Atsushi IshiyamaYumie OnoMasahiro Murakami
    • Atsushi IshiyamaYumie OnoMasahiro Murakami
    • A61B5/05A61B5/04A61N5/04
    • A61B5/04007A61B5/726A61B5/7264A61B5/743
    • In magnetocardiography, an assisting technique for a doctor diagnosing a heart disease will be provided. In the magnetocardiography, magnetism to be generated from a subject's heart is measured by a magnetic sensor, and from this measured data, a position of center of gravity of excitement wave front in a cardiac muscle excitement propagation process and a transition vector (wave front vector) is calculated by an analyzing computer. With this wave front vector as a feature parameter, the Mahalanobis' distance is calculated from a data base obtained by diagnosing in the past, a possibility (probability) of the subject having a heart disease is presumed on the basis of the Bayes' theorem for displaying. Also, by superimposing on a heart picture, the wave front vector position is displayed, and a cluster classification position in the wave front vector is displayed. Also, by the similar retrieval, another subject extremely similar to the subject in the feature parameter will be retrieved from the data base for screen displaying.
    • 在磁心图中,将提供诊断心脏病的医生的辅助技术。 在磁心法中,通过磁传感器测量从受试者的心脏产生的磁性,并且根据该测量数据,在心肌兴奋传播过程中的兴奋波前的重心位置和过渡矢量(波前矢量 )由分析计算机计算。 以该波前矢量作为特征参数,通过从过去的诊断获得的数据库计算马哈拉诺比斯距离,根据贝叶斯定理假设具有心脏病的受试者的可能性(概率) 显示。 此外,通过叠加在心脏图像上,显示波前矢量位置,并且显示波前矢量中的群集分类位置。 此外,通过类似的检索,将从用于屏幕显示的数据库中检索与特征参数中的主题非常相似的另一个对象。
    • 2. 发明授权
    • Magnetocardiograph
    • 心电图仪
    • US07395107B2
    • 2008-07-01
    • US11042202
    • 2005-01-26
    • Atsushi IshiyamaYumie OnoMasahiro Murakami
    • Atsushi IshiyamaYumie OnoMasahiro Murakami
    • A61B5/05
    • A61B5/04007A61B5/726A61B5/7264A61B5/743
    • In magnetocardiography, an assisting technique for a doctor diagnosing a heart disease will be provided. In the magnetocardiography, magnetism to be generated from a subject's heart is measured by a magnetic sensor, and from this measured data, a position of center of gravity of excitement wave front in a cardiac muscle excitement propagation process and a transition vector (wave front vector) is calculated by an analyzing computer. With this wave front vector as a feature parameter, the Mahalanobis' distance is calculated from a data base obtained by diagnosing in the past, a possibility (probability) of the subject having a heart disease is presumed on the basis of the Bayes' theorem for displaying. Also, by superimposing on a heart picture, the wave front vector position is displayed, and a cluster classification position in the wave front vector is displayed. Also, by the similar retrieval, another subject extremely similar to the subject in the feature parameter will be retrieved from the data base for screen displaying.
    • 在磁心图中,将提供诊断心脏病的医生的辅助技术。 在磁心法中,通过磁传感器测量从受试者的心脏产生的磁性,并且根据该测量数据,在心肌兴奋传播过程中的兴奋波前的重心位置和过渡矢量(波前矢量 )由分析计算机计算。 以该波前矢量作为特征参数,通过从过去的诊断获得的数据库计算马哈拉诺比斯距离,根据贝叶斯定理假设具有心脏病的受试者的可能性(概率) 显示。 此外,通过叠加在心脏图像上,显示波前矢量位置,并且显示波前矢量中的群集分类位置。 此外,通过类似的检索,将从用于屏幕显示的数据库中检索与特征参数中的主题非常相似的另一个对象。