Gaussian processes; health care; medical signal processing; patient diagnosis; signal classification; statistical testing; support vector machines; Bi-modal Gaussian model; cluster elimination; exercise; healthcare; paired t-test model; patient diagnosis; recursive cluster elimination; signal classification; support vector machine; wrist pulse signal recording; Accuracy; Arteries; Brain modeling; Computational modeling; Heart; Medical services; Wrist; Gaussian model; Support vector machine; Wrist pulse signal;
机译:使用改进的高斯模型和模糊C均值分类来诊断手腕脉冲信号。
机译:通过线性啁啾超超高斯激光脉冲产生的连贯反斯托克斯拉曼散射信号的简单模型
机译:使用多高斯光束在浸入测试中对来自平底孔的超声脉冲回波信号建模
机译:评估情绪与疾病关联的前瞻性研究:手腕脉冲信号
机译:随机高斯和非高斯信号建模。
机译:用于脉波宽度信息的3D腕式脉搏信号采集系统
机译:使用改进的高斯模型和模糊C均值分类的手腕脉搏信号诊断
机译:使用IR信号,活动和非线性伪像消除的腕部脉冲检测。