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Overview schematic of the workflow from data collection (Motion Capture), musculoskeletal model personalization (Model Scaling), estimation of joint kinematics from each condition (Inverse Simulations), calibration of the insole model stiffness values (Insole Calibration), and the combination of forward simulation outputs (i.e, from shod without insole condition) with the calibrated insole model to estimate individual patient responses (Predictive Model).

Journal: Frontiers in Bioengineering and Biotechnology

Article Title: In-silico techniques to inform and improve the personalized prescription of shoe insoles

doi: 10.3389/fbioe.2024.1351403

Figure Lengend Snippet: Overview schematic of the workflow from data collection (Motion Capture), musculoskeletal model personalization (Model Scaling), estimation of joint kinematics from each condition (Inverse Simulations), calibration of the insole model stiffness values (Insole Calibration), and the combination of forward simulation outputs (i.e, from shod without insole condition) with the calibrated insole model to estimate individual patient responses (Predictive Model).

Article Snippet: In contrast to previous work, this workflow was developed using a rigid body musculoskeletal model in OpenSim.

Techniques:

(A) Typical representation of a 3 degrees of freedom foot-ankle in many generic musculoskeletal models where each colour represents a different foot segment. (B) The previously developed complex foot-ankle musculoskeletal model with (C) 8 degree of freedom .

Journal: Frontiers in Bioengineering and Biotechnology

Article Title: In-silico techniques to inform and improve the personalized prescription of shoe insoles

doi: 10.3389/fbioe.2024.1351403

Figure Lengend Snippet: (A) Typical representation of a 3 degrees of freedom foot-ankle in many generic musculoskeletal models where each colour represents a different foot segment. (B) The previously developed complex foot-ankle musculoskeletal model with (C) 8 degree of freedom .

Article Snippet: In contrast to previous work, this workflow was developed using a rigid body musculoskeletal model in OpenSim.

Techniques:

(A) Lateral and (B) medial view of the extended foot-ankle musculoskeletal model where motion capture markers (pink dots), muscles (red lines), and ligaments (green lines) are visualized. (C) Contact surfaces under the foot which model the interaction between the foot and the ground.

Journal: Frontiers in Bioengineering and Biotechnology

Article Title: In-silico techniques to inform and improve the personalized prescription of shoe insoles

doi: 10.3389/fbioe.2024.1351403

Figure Lengend Snippet: (A) Lateral and (B) medial view of the extended foot-ankle musculoskeletal model where motion capture markers (pink dots), muscles (red lines), and ligaments (green lines) are visualized. (C) Contact surfaces under the foot which model the interaction between the foot and the ground.

Article Snippet: In contrast to previous work, this workflow was developed using a rigid body musculoskeletal model in OpenSim.

Techniques: Muscles