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Volume 14, Issue 2 (Iranian Journal of Ergonomics 2026)
Iran J Ergon 2026, 14(2): 111-120 |
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Taheri S, Atashgar K, Zamani M. Designing and Modeling Shoes for Patients with Drop Foot Using Statistical and Ergonomic Analysis. , Iran J Ergon. 2026; 14 (2) :111-120
URL: http://journal.iehfs.ir/article-1-1143-en.html
URL: http://journal.iehfs.ir/article-1-1143-en.html
1- Industrial Department, Industrial and Management Research Center, Malek Ashtar University, Tehran, Iran
2- Mechanic Department, Mechanic and Material Research Center, Malek Ashtar University, Tehran, Iran
3- Mechanic Department, Mechanic and Material Research Center, Malek Ashtar University, Tehran, Iran ,a_mrzamani@mut.ac.ir
2- Mechanic Department, Mechanic and Material Research Center, Malek Ashtar University, Tehran, Iran
3- Mechanic Department, Mechanic and Material Research Center, Malek Ashtar University, Tehran, Iran ,
Abstract: (2762 Views)
Objectives: Foot drop is caused by neurological disorders and traumatic injuries and can impair gait pattern and increase energy expenditure during walking. The use of appropriate rehabilitation devices plays an important role in improving patients' motor performance. This study aimed to provide the design basis for a rehabilitation shoe intended to improve selected biomechanical parameters, including toe angle, muscle torque, and step length in patients with foot drop. The findings of this study are considered preliminary design evidence, and further studies with larger sample sizes are required before moving toward product development and manufacturing.
Methods: This study was a case-based biomechanical simulation investigation. The evaluated variables included toe angle, tibialis anterior muscle torque, and step length. These variables were extracted using musculoskeletal modeling in OpenSim software and finite element analysis in ABAQUS. The obtained data were compared across four simulation conditions: the designed shoe, the reference ankle-foot orthosis, the patient condition, and the healthy control. Data analysis was performed descriptively by evaluating and comparing biomechanical trend changes.
Results: The use of the designed shoe improved toe angle during the swing phase by approximately 80% compared with the patient condition. In addition, tibialis anterior muscle torque increased by approximately 85%, and step length also improved relative to the patient's condition. These findings indicate a relative improvement in gait-related biomechanical parameters in the proposed model.
Conclusion: The proposed design improved three key biomechanical parameters, including step length, tibialis anterior muscle torque, and toe angle. Furthermore, the case-based simulation and descriptive statistical findings suggested that the proposed model has the potential to effectively control the coordinated movement of the ankle and forefoot in individuals with foot drop.
Methods: This study was a case-based biomechanical simulation investigation. The evaluated variables included toe angle, tibialis anterior muscle torque, and step length. These variables were extracted using musculoskeletal modeling in OpenSim software and finite element analysis in ABAQUS. The obtained data were compared across four simulation conditions: the designed shoe, the reference ankle-foot orthosis, the patient condition, and the healthy control. Data analysis was performed descriptively by evaluating and comparing biomechanical trend changes.
Results: The use of the designed shoe improved toe angle during the swing phase by approximately 80% compared with the patient condition. In addition, tibialis anterior muscle torque increased by approximately 85%, and step length also improved relative to the patient's condition. These findings indicate a relative improvement in gait-related biomechanical parameters in the proposed model.
Conclusion: The proposed design improved three key biomechanical parameters, including step length, tibialis anterior muscle torque, and toe angle. Furthermore, the case-based simulation and descriptive statistical findings suggested that the proposed model has the potential to effectively control the coordinated movement of the ankle and forefoot in individuals with foot drop.
Type of Study: Research |
Subject:
Ergonomics in Design
Received: 2026/04/19 | Accepted: 2026/06/22 | ePublished: 2026/06/22
Received: 2026/04/19 | Accepted: 2026/06/22 | ePublished: 2026/06/22
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
