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OpenSim Ltd
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OpenSim Ltd
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OpenSim Ltd
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OpenSim Ltd
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OpenSim Ltd
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OpenSim Ltd
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Image Search Results
Journal: Wearable Technologies
Article Title: A wearable gait lab powered by sensor-driven digital twins for quantitative biomechanical analysis post-stroke
doi: 10.1017/wtc.2024.14
Figure Lengend Snippet: Schematics of the IMU-based pipeline to extract joint angles and ankle torques from accelerations and quaternions as well as person-specific anthropometric measures. Using the OpenSim software, the mass and height are used to scale the default musculoskeletal model (a) to the specific participant measures. The optimal fiber length and the tendon slack length of the scaled model are then optimized (b). The IMU are placed on the model (c) and then used to perform inverse kinematics (d) and obtain joint angles. IMU accelerations are used to detect gait phases (e) and estimate the total 3D GRF (f). The 3D GRF is split into right and left GRFs using the STA (g) and the detected gait phases. The inverse kinematics input is used to track the heel, toes, and CoM of the calcaneus position ( x , y , z ). Those together with the detected gat phases are used to estimate the CoP (i). Estimated CoP and right and left GRFs are input to the inverse dynamics tool (j) to finally compute the ankle dorsi-plantar flexion torque.
Article Snippet: Using the
Techniques: Software