We aimed to describe the temporal profile of cardiac risk after stroke and develop a predictive model of serious cardiac adverse events (SCAEs) using baseline variables.
我们的目的就是对卒中后心脏风险的暂时情况进行描述并且对严重心脏有害事件应用基线参数开发一种预测模型。
To deal with the similarity of spike temporal profile and frequency feature, a method was proposed to represent spike feature using wavelet analysis technique.
考虑到来自不同神经元的动作电位在时域或频域特征上的相似性，引入小波分析在时频域上对动作电位进行特征描述。
Moreover, the main dynamic factor that influences temporal processes of profile is wave power. Typhoon and big wave actions are direct driving powers for the quick variety of the profile.
此外，影响海滩剖面短期变化的主要动力因素是波浪，台风大浪则是剖面迅速变化的直接驱动力。
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