Patent ID: 11963791
Assignee: UNIVERSITY OF MARYLAND, COLLEGE PARK
Field: Medical technology (Instruments)
Classification: CPC A  G | IPC A  G

Claim 9:
10. A training system for training an algorithm for predicting a knee adduction moment (KAM), the training system comprising:
a motion capture device configured to be worn over a limb of each of n number of subjects and to capture kinematic data of the subjects;
forceplates configured to be stepped on by the subjects and to generate first ground reaction force (GRF) measurement data with a first resolution;
a portable force measurement device configured to be worn under a foot of each subject to generate second GRF measurement data with a second resolution lower than the first resolution;
a memory storing an algorithm; and
a processor configured to:
generate reference KAM data based on the kinematic data and the first GRF measurement data; and
repeatedly train the algorithm by incrementing i by one from 1 to n while performing the following steps:
generating a model, which predicts KAM data of the subjects;
validating the predicted KAM data of the subjects other than the i-th subject based on the reference KAM data of the subjects other than the i-th subject;
adjusting internal parameters of the model by minimizing an error between the predicted KAM data of the subjects other than the i-th subject and reference KAM data of the subjects other than the i-th subject; and
producing an accuracy score for the model based on an error between the predicted KAM data of the i-th subject and the reference KAM data of the i-th subject.