Gait modification and optimization using neural network–genetic algorithm approach: Application to knee rehabilitation

作者：

Highlights：

• Neural network and genetic algorithm were employed to design gait modification.

• A gait pattern was designed which decreased knee contact pressure up to 25%.

• The proposed methodology was cost-effective and easy to recreate for any subject.

摘要

•Neural network and genetic algorithm were employed to design gait modification.•A gait pattern was designed which decreased knee contact pressure up to 25%.•The proposed methodology was cost-effective and easy to recreate for any subject.

论文关键词：Gait modification,Tibiofemoral knee joint,Time delay neural network,Genetic algorithm,Contact pressure

论文评审过程：Available online 22 June 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.06.034