首页> 外国专利> EPILEPTIC SEIZURE SIGN DETECTION DEVICE, EPILEPTIC SEIZURE SIGN DETECTION MODEL GENERATION DEVICE, EPILEPTIC SEIZURE SIGN DETECTION METHOD, EPILEPTIC SEIZURE SIGN DETECTION MODEL GENERATION METHOD, EPILEPTIC SEIZURE SIGN DETECTION PROGRAM AND EPILEPTIC SEIZURE SIGN DETECTION MODEL GENERATING PROGRAM

EPILEPTIC SEIZURE SIGN DETECTION DEVICE, EPILEPTIC SEIZURE SIGN DETECTION MODEL GENERATION DEVICE, EPILEPTIC SEIZURE SIGN DETECTION METHOD, EPILEPTIC SEIZURE SIGN DETECTION MODEL GENERATION METHOD, EPILEPTIC SEIZURE SIGN DETECTION PROGRAM AND EPILEPTIC SEIZURE SIGN DETECTION MODEL GENERATING PROGRAM

机译:癫痫病体征检测仪,癫痫病体征检测模型生成装置,癫痫病体征检测方法,癫痫病体征检测模型生成方法,癫痫病体征检测模型程序和癫痫发作

摘要

PROBLEM TO BE SOLVED: To provide an epileptic seizure sign detection device which can easily detect the sign of epileptic seizure.;SOLUTION: An information processing apparatus 14 includes an arithmetic processing unit. RRI data generated from an electrocardiogram signal of an examinee P is acquired, and multiple HRV index data showing the HRV index value on each of several kinds of HRV indexes concerning a heart rate is generated. The arithmetic processing unit identifies the presence or absence of an epileptic seizure sign, by using a predetermined seizure sign detection model for calculating T2 statistics and Q statistics from the HRV index value on each of the several kinds of HRV indexes, and based on the T2 statistics and Q statistics calculated from the multiple HRV index data. The seizure sign detection model is generated by performing a principal component analysis concerning the multiple HRV index data showing the HRV index value on each of several kinds of HRV indexes concerning the heart rate, the data generated based on the RRI data generated from the electrocardiogram signal in the interictal.;COPYRIGHT: (C)2015,JPO&INPIT
机译:解决的问题:提供一种能够容易地检测癫痫发作的体征的癫痫发作标志检测装置。解决方案:信息处理设备14包括算术处理单元。获取从被检者P的心电图信号生成的RRI数据,并且生成表示与心率有关的几种HRV指标中的每一个的HRV指标值的多个HRV指标数据。算术处理单元通过使用预定的癫痫发作检测模型来识别癫痫发作标志的存在与否,该预定的癫痫发作检测模型用于根据几种HRV指标中的每一种从HRV指标值计算T2统计量和Q统计量统计和Q统计从多个HRV索引数据计算得出。癫痫发作检测模型是通过对多个HRV指标数据进行主成分分析而生成的,该数据显示了与心率有关的多种HRV指标中的HRV指标值,该数据基于从心电图信号生成的RRI数据版权:(C)2015,JPO&INPIT

著录项

  • 公开/公告号JP2015112423A

    专利类型

  • 公开/公告日2015-06-22

    原文格式PDF

  • 申请/专利权人 KYOTO UNIV;

    申请/专利号JP20130258494

  • 发明设计人 FUJIWARA KOICHI;KANO MANABU;

    申请日2013-12-13

  • 分类号A61B5/0402;A61B5/0452;A61B5/0456;

  • 国家 JP

  • 入库时间 2022-08-21 15:34:44

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