The aim of the study is to define a set of quantitative parameters related to articular biomechanics, which will be evaluated during some specific motor tasks. The goal is the prevention of primary and secondary anterior cruciate ligament injury in athletes. Specifically, the validation of a new comparative methodology of biomechanics analysis will be performed, based on inertial sensors and musculoskeletal models. This way, brief but exhaustive description of functional characteristics of athletes could be created and easily used in ambulatory environment.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Enrollment
34
The kinematics of lower limbs, trunk and upper limbs will be calculated both with inertial sensors (XSENS) and motion capture marker-based system (BTS ). Inertial sensors and markers will be placed on the subjects clothes and on the skin (totally non-invasive) to identify body segments. Then subjects will perform their motor tasks normally. Lately, through the data post-processing, the kinematics evaluated with both the systems will be used to describe how well the task is performed in terms of ACL prevention, through derived biomechanical parameters.
Istituto Ortopedico Rizzoli
Bologna, BO, Italy
Lower limbs angles (extracted by inertial sensors/motion capture marker-based analysis): Hip, Knee, Ankle joint angles (all in degrees °)
These quantitative parameters are the output of the inertial sensor and marker-based motion capture dedicated softwares, and will be then post processed and analyzed to find the range of motion, the maximum and the minimum angles for each joint. Every outcome angle is expressed in degrees (°) * Hip angles (flexion/extension, ab/adduction and intra/extra rotation) in degrees (°); * Knee angles (flexion/extension, varus/valgus and intra/extra rotation) in degrees (°); * Ankle angles (flexion/extension, ab/adduction and intra/extra rotation) in degrees (°).
Time frame: 10 months
Upper limbs angles (extracted by inertial sensors/motion capture marker-based analysis): Elbow, Wrist and Shoulder joint angles (all in degrees °)
These quantitative parameters are the output of the inertial sensor and marker-based motion capture dedicated softwares, and will be then post processed and analyzed to find the range of motion, the maximum and the minimum angles for each joint, and the interaction with lower limbs joint angles. Every outcome angle is expressed in degrees (°) * Elbow angles (flexion/extension, intra/extra rotation) in degrees (°); * Wrist angles (flexion/extension) in degrees (°); * Shoulder angles (flexion/extension, ab/adduction) in degrees (°).
Time frame: 10 months
Trunk angles (extracted by inertial sensors/motion capture marker-based analysis): Trunk sway and Trunk tilt (all in degrees °)
These quantitative parameters are the output of the inertial sensor and marker-based motion capture dedicated softwares, and will be then post processed and analyzed to find the range of motion, the maximum and the minimum angles for each joint, and the interaction with lower limbs joint angles. Every outcome angle is expressed in degrees (°) * Trunk sway in degrees (°) ; * Trunk tilt in degrees (°) .
Time frame: 10 months
Trunk velocity (in m/s) extracted by inertial sensors/motion capture marker-based analysis
Trunk velocity in all 3 directions (x,y,z). Expressed in m/s
Time frame: 10 months
Trunk acceleration (in m/s^2) extracted by inertial sensors/motion capture marker-based analysis
Trunk Acceleration in all 3 directions (x,y,z). Expressed in m/s\^2
Time frame: 10 months
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