Unit of Medical Technology and Intelligent Information Systems, Department of Material Science and Engineering, University of Ioannina, 45110 Ioannina, Greece;
Unit of Medical Technology and Intelligent Information Systems, Department of Material Science and Engineering, University of Ioannina, 45110 Ioannina, Greece;
Unit of Medical Technology and Intelligent Information Systems, Department of Material Science and Engineering, University of Ioannina, 45110 Ioannina, Greece;
Unit of Medical Technology and Intelligent Information Systems, Department of Material Science and Engineering, University of Ioannina, 45110 Ioannina, Greece;
Unit of Medical Technology and Intelligent Information Systems, Department of Material Science and Engineering, University of Ioannina, 45110 Ioannina, Greece;
Department of Neurology, Medical School, University of Ioannina, 45110 Ioannina, Greece;
Levodopa-induced dyskinesia detection; Levodopa-induced dyskinesia severity classification; automated diagnosis;
机译:通过神经网络检测和评估帕金森氏病患者左旋多巴诱发的运动障碍的严重性。
机译:左旋多巴诱发的运动障碍的自动化方法:基于陀螺仪和加速度计信号的评估
机译:左旋多巴诱导的障碍的自动评估:评估基于视频的功能的响应性
机译:Levodopa诱导的止吐剂检测和严重程度分类的自动化方法
机译:感应电机中转子不平衡故障的检测和严重性分类。
机译:用MRI图像融合高阶谱和纹理提取方法自动化冲程严重性分类
机译:糖尿病视网膜病变检测方法及严重程度分类方法综述