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

Claim 0:
1. A method for training an algorithm for predicting a knee adduction moment (KAM), the method comprising:
placing a portable force measurement device under a foot of each of n number of subjects and a motion capturing device over a limb of each of the subjects;
while each of the subjects walks on forceplates:
capturing, by the motion capturing device, kinematic data;
generating, by the forceplates, first ground reaction force (GRF) measurement data with a first resolution;
generating, by the portable force measurement device, second GRF measurement data with a second resolution lower than the first resolution; and
generating reference KAM data based on the kinematic data and the first GRF measurement data; and

repeatedly training 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 based on second GRF measurement 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 the 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.