Motion delay quantization grading evaluation method and device based on time convolution network

The invention provides a motion delay quantization grading evaluation method and device based on a time convolution network, which are applied to the field of medical care informatics, and the method comprises the steps: obtaining the kinematics data of a target object; based on the kinematics data and a trained motion delay quantitative evaluation model, obtaining a motion delay level of the target object; wherein the motion delay quantitative evaluation model is obtained by training a time convolution network according to a sample kinematics data set with a motion delay level label. Therefore, quantitative evaluation is objectively carried out on the motion delay degree of the target object, and the accuracy of an evaluation result is improved. 本发明提供一种基于时间卷积网络的运动迟缓量化分级评估方法及装置，应用于医疗保健信息学领域，该方法包括：获取目标对象的运动学数据；基于所述运动学数据以及训练好的运动迟缓量化评估模型，得到所述目标对象的运动迟缓等级；其中，所述运动迟缓量化评估模型是根据带有运动迟缓等级标签的样本运动学数据集对时间卷积网络训练得到的。从而客观地对目标对象的运动迟缓程度作出定量评估，并提高了评估结果的准确性。