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EPILEPTIC SEIZURE DETECTION WITH EEG PREPROCESSING

机译:用脑电图预处理癫痫癫痫发作检测

摘要

Methods and systems for detecting seizures include generating two-dimensional frames that each include a first set of elements that store measurements from sensors and a second set of elements that store values calculated from said measurements. The two-dimensional frames are classified using a machine learning model. It is determined that a subject experienced a seizure during a measurement interval based on an output of the machine learning model. A corrective action is performed responsive to the determination that the subject experienced a seizure.
机译:用于检测癫痫发作的方法和系统包括生成二维帧,每个帧包括存储来自传感器的测量的第一组元件和存储从所述测量计算的值的第二组元件。二维框架使用机器学习模型进行分类。确定受试者在基于机器学习模型的输出期间在测量间隔期间经历了癫痫发作。响应于主体经历癫痫发作的确定来执行纠正措施。

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