Abstract: Disclosed herein are a system for determining ligament tension and a method for utilizing the same in a knee balancing procedure. The system according may include a first sensor to measure a first load at a first condyle of a femur, a second sensor to measure a second load at a second condyle of the femur, an inertial measurement unit to measure angular change of a tibial mechanical axis of a tibia during a rotation of the tibia in a coronal plane, and a display in communication with the first sensor, the second sensor and the inertial measurement unit for displaying a ligament stress-strain curve. The method may include the steps of rotating a tibia toward a first condyle, measuring first load values and first deflection angles of the tibia, and determining a stress-strain curve of a first ligament from the first load values and first deflection angles.

Abstract: The present invention relates to a computer-implemented method for labelling a training set, preferably for training a neural network, with respect to a 3D physical object by means of a GUI, the method comprising the steps of: obtaining a training set relating to a plurality of training objects, each of the training objects comprising a 3D surface similar to the 3D surface of said object, the training set comprising at least two images for each training object; generating, for each training object, a respective 3D voxel representation based on the respective at least two images; receiving, via said GUI, manual annotations with respect to a plurality of segment classes from a user of said GUI for labelling each of the training objects; and preferably training, based on said manual annotations (91, 92, 93), at least one NN, for obtaining said at least one trained NN.

Abstract: A method of calibrating a pair of body mounted sensors, the method comprising the steps of: (a) in a baseline position of a joint to be measured, determining a first offset between a measured joint angle and an angle between pair of sensors, one mounted on each side of the joint to be measured, so as to calibrate the sensors; (b) after at least one of the sensors has been removed and reapplied, placing the joint back into the baseline position such that the sensors are in a second configuration relative to each other; and (c) determining a second offset between the measured knee angle and an angle between the pair of sensors in the second configuration in order to recalibrate the sensors such that, in each of the first and second configurations, the same joint angle for the baseline position is reported.

Abstract: The present invention relates to a method for generating a robot command for handling a three-dimensional, 3D, physical object present within a reference volume and comprising a 3D surface, comprising: obtaining at least two images of said physical object from a plurality of cameras positioned at different respective angles with respect to said object; generating, with respect to the 3D surface of said object, a voxel representation segmented based on said at least two images; and computing the robot command for said handling of said object based on said segmented voxel representation.