System, method, and software application to predict KAM for plurality of gait cycles of subject

Abstract

The present disclosure describes a system, method and software applications for predicting the KAM of a plurality of gait cycles of a subject. At least one sensor attachable adjacent to the ankle of at least one leg of the subject provides accelerometer and gyroscopic data for the plurality of gait cycles. A processing means receives subject parameters and accelerometer and gyroscopic data from the at least one sensor for evaluation by a neural network of predicted KAM values for the plurality of gait cycles of the subject. The neural network is configured via determining KAM values for each of the plurality of subjects from measurements during a plurality of gait cycles and other parameters. 本公开描述了一种预测对象的多个步态周期的KAM的系统、方法和软件应用程序。可附着到该对象至少一条腿的脚踝附近的至少一个传感器提供该多个步态周期的加速度计数据和陀螺仪数据。处理装置接收对象参数和来自该至少一个传感器的加速度计数据和陀螺仪数据，以用于通过神经网络来评估该对象的该多个步态周期的经预测KAM值。通过来自多个步态周期期间的测量值和其他参数来确定多个对象中的每个对象的KAM值以配置该神经网络。