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System and method for identifying ictal states in a patient

机译:用于识别患者发作状态的系统和方法

摘要

A system and method for identifying ictal states in a patient, the system including a plurality of sensors for sensing different non-electroencephalographic signals from the patient, and a processing unit. The processing unit has a processor and memory with instructions for classifying data from the plurality of sensors to determine probability of the patient being ictal, when the probability is high asking the patient if the patient is in an ictal state, reporting to a caregivers if the patient is ictal, and updating the classifier based upon sensor data, probability, and the response. The method includes sensing, using a plurality of non-electroencephalographic sensors, determining, using a classifier trained using a training dataset, probability of the patient being in an ictal state, and if probability is high, asking the patient if the patient is in ictal state, logging the occurrence of an ictal state, and updating the classifier.
机译:一种用于识别患者的发作状态的系统和方法,该系统包括用于感测来自患者的不同的非脑电图信号的多个传感器,以及处理单元。该处理单元具有处理器和存储器,该处理器和存储器具有用于对来自多个传感器的数据进行分类以确定患者被发作的概率的指令,当该概率高时询问患者是否处于发作状态,并向看护者报告是否发生发作。患者是至关重要的,并根据传感器数据,概率和响应来更新分类器。该方法包括:使用多个非脑电图传感器进行感测;使用通过训练数据集训练的分类器,确定患者处于发作状态的概率;如果概率很高,则询问患者是否处于发作状态。状态,记录异常状态的发生并更新分类器。

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