The Hong Kong Polytechnic University

Akash Malhotra

Ho Man Chan

Tsz Hei Cheung

Chun Kwan Ching

Chao Wang

Man Fung Lam

Xiaoyu Wei

Hanwen Zhang

Kevin Ki Wai Ho

Sizhong Wang

Zoe Yau Shan Chan

Shuotong Wang

The present disclosure describes a system, method and software applications for predicting the KAM of a subject for 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.

Predictive knee joint loading system

Growing community of inventors

Hong Kong, China

Akash Malhotra