Selection of Kinematic and Temporal Input Parameters to Define a Novel Upper Body Index Indicator for the Evaluation of Upper Limb Pathology

Purpose: This work aimed to develop a novel indicator of upper limb manipulative movements. A principal component analysis (PCA) algorithm was applied kinematic measurements movements the limbs performed during an everyday activity. Methods: Kinematics while drinking from mug were investigated using commercially available Xsens MVN BIOMECH inertial sensor-based motion capture system. The study group consisted 20 male patients who had previously suffered ischaemic stroke, whilst reference 16 males with no disorders their motor organs. Based on data obtained, set 30 temporal and parameters defined. From this, selected for determination indicator, Upper Body Index (UBI), which served purpose assessing limbs. Selection considered percentage distribution beyond standard, differences in mean values between group, parameter variability. Results: Analysis kinematics allowed identification selection used development new index. included 2 14 parameters, minimum maximum angles joints, ranges connected movement spine recorded. These assess shoulder elbow all possible planes, as well movement. UBI follows: case group: 13.67 ± 2.40 dominant limb, 13.71 3.36 non-dominant limb; stroke patient 130.86 75.07 155.58 170.76 limb. Conclusions: developed made it discover deviations standard performance Therefore, index may be applicable any sequence carried out by