Submitted:
12 August 2024
Posted:
13 August 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Related Work
3. Materials and Methods
3.1. Anatomy of the Ankle Joint
3.2. The Proposed Device

3.3. Performance Characteristics Simulation



4. Results
4.1. Assembly of an Ankle Exoskeleton Prototype
4.2. Solution for Control Design Unit
- −
- Inputs to MCU (Microcontroller Unit): Received from various sources including a PC, Force-Sensitive Resistors (FSR), an EMG Sensor, and an IMU Sensor;
- −
- MCU Outputs: Processes inputs to control additional devices for enhanced functionality and a DC motor driver, which regulates a DC motor;
- −
- Ankle Joint Manipulation: The DC motor manipulates the ankle joint, enabling movement and support by the exoskeleton.
4.3. Experimental Study and Functional Tetting of the Prototype
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- Colak, S.; Orha, A.T.; Yener, M.D.; Colak, T.; Bamac, B.; Colak, E. Musculoskeletal system related complaint: Is there any effect of sports ergonomics and lack of core stabilization exercises, Science & Sports, Volume 36, Issue 6, 2021, Pages 481.e1-481.e7, ISSN 0765-1597. [CrossRef]
- World Health Organization (WHO), Rehabilitation: Key facts, https://www.who.int/news-room/fact-sheets/detail/rehabilitation (Published 22 April 2024).
- World Health Organization (WHO), Musculoskeletal health: Key facts, https://www.who.int/news-room/fact-sheets/detail/musculoskeletal-conditions (Published 14 July 2022).
- De Bock, S.; Ghillebert, J.; Govaerts, R.; Tassignon, B.; Rodriguez-Guerrero, C.; Crea, S.; Veneman, J.; Geeroms, J.; Meeusen, R.; De Pauw, K. Benchmarking occupational exoskeletons: An evidence mapping systematic review, Applied Ergonomics, Volume 98, 2022, 103582, ISSN 0003-6870. [CrossRef]
- World Health Organization (WHO), Rehabilitation 2030 initiative. https://www.who.int/initiatives/rehabilitation-2030.
- Chen, C.; Lv, J.; Xu, Z. A Multi-Indicator evaluation method for Human-Machine effectiveness of lower limb wearable exoskeleton, Biomedical Signal Processing and Control, Volume 91, 2024, 105976, ISSN 1746-8094. [CrossRef]
- S.K. Hasan, Anoop K. Dhingra, Biomechanical design and control of an eight DOF human lower extremity rehabilitation exoskeleton robot, Results in Control and Optimization, Volume 7, 2022, 100107, ISSN 2666-7207. [CrossRef]
- Ye Huo, M. Niaz Khan, Zh. Feng Shao, Yu Pan, Development of a novel cable-driven parallel robot for full-cycle ankle rehabilitation, Mechatronics, Volume 101, 2024, 103210, ISSN 0957-4158. [CrossRef]
- Bhat, A.; Rao, V.S.; Jayalakshmi, N.S. Review of the Evolution of Magnetorheological Fluid-Based Rehabilitative Devices: From the Perspective of Modeling, Sensors and Control Strategies," in IEEE Access, vol. 11, pp. 88759–88777, 2023. [CrossRef]
- T. Zhang, Ye Tian, Y. Yin, W. Sun, L. Tang, R. Tang, Y. Tian, Sh. Gong, S. Tian, Efficacy of an Omaha system-based remote ergonomic intervention program on self-reported work-related musculoskeletal disorders (WMSDs) — A randomized controlled study, Heliyon, Volume 10, Issue 2, 2024, e24514, ISSN 2405-8440. [CrossRef]
- D. Hu, C. D. Hu, C. Xiong, T. Wang, T. Zhou, J. Liang and Y. Li, Modulating Energy Among Foot-Ankle Complex With an Unpowered Exoskeleton Improves Human Walking Economy, in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 30, pp. 1961–1970, 2022. [CrossRef]
- Wen-Jun Tu, Bao-Hua Chao, Lin Ma, Feng Yan, Lei Cao, Hancheng Qiu, Xun-Ming Ji, Long-De Wang, Case-fatality, disability and recurrence rates after first-ever stroke: A study from bigdata observatory platform for stroke of China, Brain Research Bulletin, Volume 175, 2021, Pages 130-135, ISSN 0361-9230. [CrossRef]
- Lloyd, A.; Bannigan, K.; Sugavanam, T.; Freeman, J. Experiences of stroke survivors, their families and unpaid carers in goal setting within stroke rehabilitation: a systematic review of qualitative evidence. JBI Database System Rev Implement Rep. 2018, 16, 1418–1453. [Google Scholar] [CrossRef] [PubMed]
- Moosa, A.; Osama, D.; Alnidawi, F.; Algillidary, S.; Hussein, A.; Das, P. Risk Factors, Incidence, and Outcome of Stroke: A Retrospective Cross-Sectional Hospital-Based Study Comparing Young Adults and Elderly. Cureus. 2023, 15, e40614. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Otálora, S.; Ballen-Moreno, F.; Arciniegas-Mayag, L.; Cifuentes, C.A.; Múnera, M. Biomechanical Effects of Adding an Ankle Soft Actuation in a Unilateral Exoskeleton. Biosensors 2022, 12, 873. [Google Scholar] [CrossRef] [PubMed]
- Jiang, J.; Chen, P.; Peng, J.; Qiao, X.; Zhu, F.; Zhong, J. Design and Optimization of Lower Limb Rehabilitation Exoskeleton with a Multiaxial Knee Joint. Biomimetics 2023, 8, 156. [Google Scholar] [CrossRef]
- Weber, L.; Voldsgaard, N.H.; Holm, N.J.; Schou, L.H.; Biering-Sørensen, F.; Møller, T. Exploring the contextual transition from spinal cord injury rehabilitation to the home environment: a qualitative study. Spinal Cord. 2021, 59, 336–346. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Biering-Sørensen, F.; Noonan, V.K. Standardization of Data for Clinical Use and Research in Spinal Cord Injury. Brain Sci. 2016, 6, 29. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- World Health Organization (WHO), Spinal cord injury: Key facts, https://www.who.int/ru/news-room/fact-sheets/detail/spinal-cord-injury, (Published 16 April 2024).
- Yana He, Yuxuan Xu, Minghang Hai, Yang Feng, Penghao Liu, Zan Chen, Wanru Duan, Exoskeleton-Assisted Rehabilitation and Neuroplasticity in Spinal Cord Injury, World Neurosurgery, Volume 185, 2024, Pages 45-54, ISSN 1878-8750. [CrossRef]
- Chaoyang Zhang, Ning Li, Xiali Xue, Xia Lu, Danjie Li, Qiaomei Hong, Effects of lower limb exoskeleton gait orthosis compared to mechanical gait orthosis on rehabilitation of patients with spinal cord injury: A systematic review and future perspectives, Gait & Posture, Volume 102, 2023, Pages 64-71, ISSN 0966-6362. [CrossRef]
- Liviu Cristian Chiș, Monica Copotoiu, Liviu Moldovan, Different Types of Exoskeletons can Improve the Life of Spinal Cord Injury’s Patients – a Meta-Analysis, Procedia Manufacturing, Volume 46, 2020, Pages 844-849, ISSN 2351-9789. [CrossRef]
- C. -F. Chen et al., "Development and Hybrid Control of an Electrically Actuated Lower Limb Exoskeleton for Motion Assistance," in IEEE Access, vol. 7, pp. 169107–169122, 2019. [CrossRef]
- J. -H. Woo et al., "Machine Learning Based Recognition of Elements in Lower-Limb Movement Sequence for Proactive Control of Exoskeletons to Assist Lifting," in IEEE Access, vol. 11, pp. 127107–127118, 2023. [CrossRef]
- M. Lazzaroni et al., "Improving the Efficacy of an Active Back-Support Exoskeleton for Manual Material Handling Using the Accelerometer Signal," in IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 7716–7721, July 2022. [CrossRef]
- U. Heo, J. U. Heo, J. Feng, S. J. Kim and J. Kim, "sEMG-Triggered Fast Assistance Strategy for a Pneumatic Back Support Exoskeleton," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 30, pp. 2175–2185, 2022. [CrossRef]
- S. Kim, D. S. Kim, D. Srinivasan, M. A. Nussbaum and A. Leonessa, "Human Gait During Level Walking With an Occupational Whole-Body Powered Exoskeleton: Not Yet a Walk in the Park," in IEEE Access, vol. 9, pp. 47901–47911, 2021. [CrossRef]
- Delahunt, E.; Remus, A. Risk Factors for Lateral Ankle Sprains and Chronic Ankle Instability. J Athl Train 2019, 54, 611–616. [Google Scholar] [CrossRef]
- Wang, X.; Qiu, J.; Fong, D.T.P. The applications of wearable devices in the rehabilitation of ankle injuries: A systematic review and meta-analysis, Medicine in Novel Technology and Devices, Volume 17, 2023, 100210, ISSN 2590-0935. [CrossRef]
- Narayan, J.; Auepanwiriyakul, C.; Jhunjhunwala, S.; Abbas, M.; Dwivedy, S.K. Hierarchical Classification of Subject-Cooperative Control Strategies for Lower Limb Exoskeletons in Gait Rehabilitation: A Systematic Review. Machines 2023, 11, 764. [Google Scholar] [CrossRef]
- Weber, L.; Voldsgaard, N.H.; Holm, N.J.; Schou, L.H.; Biering-Sørensen, F.; Møller, T. Exploring the contextual transition from spinal cord injury rehabilitation to the home environment: a qualitative study. Spinal Cord. 2021, 59, 336–346. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Qiu, S.; Pei, Z.; Wang, C.; et al. Systematic Review on Wearable Lower Extremity Robotic Exoskeletons for Assisted Locomotion. J Bionic Eng 2023, 20, 436–469. [Google Scholar] [CrossRef]
- Ebers, M.R.; Rosenberg, M.C.; Kutz, J.N.; Steele, K.M. A machine learning approach to quantify individual gait responses to ankle exoskeletons. Journal of Biomechanics 2023, 157, 111695. [Google Scholar] [CrossRef] [PubMed]
- Hussain, F.; Goecke, R.; Mohammadian, M. Exoskeleton robots for lower limb assistance: A review of materials, actuation, and manufacturing methods. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine. 2021, 235, 1375–1385. [Google Scholar] [CrossRef] [PubMed]
- Rojek, I.; Dorożyński, J.; Mikołajewski, D.; Kotlarz, P. Overview of 3D Printed Exoskeleton Materials and Opportunities for Their AI-Based Optimization. Appl. Sci. 2023, 13, 8384. [Google Scholar] [CrossRef]
- W. -Z. Li, G. -Z. Cao and A. -B. Zhu, "Review on Control Strategies for Lower Limb Rehabilitation Exoskeletons," in IEEE Access, vol. 9, pp. 123040–123060, 2021. [CrossRef]
- M. Dong et al., "A New Ankle Robotic System Enabling Whole-Stage Compliance Rehabilitation Training," in IEEE/ASME Transactions on Mechatronics, vol. 26, no. 3, pp. 1490–1500, June 2021. [CrossRef]
- Qu, S.; Li, R.; Yao, W.; Ma, C.; Guo, Z. Structure Design, Kinematics Analysis, and Effect Evaluation of a Novel Ankle Rehabilitation Robot. Appl. Sci. 2023, 13, 6109. [Google Scholar] [CrossRef]
- Murariu, M.; Paint, Y.; Murariu, O.; Laoutid, F.; Dubois, P. Tailoring and Long-Term Preservation of the Properties of PLA Composites with "Green" Plasticizers. Polymers 2022, 14, 4836. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- M. Dong, J. M. Dong, J. Li, X. Rong, W. Fan, Y. Kong and Y. Zhou, "Compliant physical interaction to enhance rehabilitation training of a parallel ankle robotic system," 2020 Chinese Automation Congress (CAC), Shanghai, China, 2020, pp. 2191–2196. [CrossRef]
- Li, J.; Zuo, S.; Zhang, L.; Dong, M.; Zhang, Z.; Tao, C.; Ji, R. (April 13, 2020). Mechanical Design and Performance Analysis of a Novel Parallel Robot for Ankle Rehabilitation. ASME. J. Mechanisms Robotics. 2020, 12, 051007. [Google Scholar] [CrossRef]
- Dong, M.; Zhou, Y.; Li, J.; Rong, X.; Fan, W.; Zhou, X.; Kong, Y. State of the art in parallel ankle rehabilitation robot: a systematic review. J Neuroeng Rehabil. 2021, 18, 52. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Abarca, V.E.; Elias, D.A. A Review of Parallel Robots: Rehabilitation, Assistance, and Humanoid Applications for Neck, Shoulder, Wrist, Hip, and Ankle Joints. Robotics 2023, 12, 131. [Google Scholar] [CrossRef]
- Anand Prakash, A. Anatomy of Ankle Syndesmotic Ligaments: A Systematic Review of Cadaveric Studies. Foot Ankle Spec. 2020, 13, 341–350. [Google Scholar] [CrossRef] [PubMed]
- Bergman, C.; Morin, M.; Lawson, K. Anatomy, Classification, and Management of Ankle Fractures Involving the Posterior Malleolar Fragment: A Literature Review. Foot Ankle Orthop. 2019, 4, 2473011419887724. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Faragó, P.; Grama, L.; Farago, M.-A.; Hintea, S. A Novel Wearable Foot and Ankle Monitoring System for the Assessment of Gait Biomechanics. Appl. Sci. 2021, 11, 268. [Google Scholar] [CrossRef]
- Gupta, R.; Grove, K.; Wei, A.; Lee, J.; Akkouch, A. Ankle and Foot Arthroplasty and Prosthesis: A Review on the Current and Upcoming State of Designs and Manufacturing. Micromachines 2023, 14, 2081. [Google Scholar] [CrossRef] [PubMed]
- Nursultan, Z.; Marco, C.; Balbayev, G. A Portable Robotic System for Ankle Joint Rehabilitation. Electronics 2023, 12, 4271. [Google Scholar] [CrossRef]
- Russo, M.; Ceccarelli, M. Analysis of a Wearable Robotic System for Ankle Rehabilitation. Machines 2020, 8, 48. [Google Scholar] [CrossRef]
- Gonçalves, R.S.; Rodrigues, L.A.O.; Humbert, R.; Carbone, G. A User-Friendly Nonmotorized Device for Ankle Rehabilitation. Robotics 2023, 12, 32. [Google Scholar] [CrossRef]
- Doroftei, I.; Cazacu, C.-M.; Alaci, S. Design and Experimental Testing of an Ankle Rehabilitation Robot. Actuators 2023, 12, 238. [Google Scholar] [CrossRef]
- Meng, Q.; Liu, G.; Xu, X.; Meng, Q.; Yu, H. Design and Analysis of a Supine Ankle Rehabilitation Robot for Early Stroke Recovery. Machines 2023, 11, 787. [Google Scholar] [CrossRef]
- Actuonix, Miniature Linear Actuators L16, user manual, 2024. URL: https://www.actuonix.com/linear-servos-for-rc, visited on 17/07/2024.


























| Motion direction | ROM (degree) |
|---|---|
| Dorsiflexion | 20.3 – 29.8 |
| Plantarflexion | 37.6 – 45.8 |
| Inversion | 14.5 – 22.0 |
| Eversion | 10.0 – 17.0 |
| Abduction | 15.4 – 25.9 |
| Adduction | 22.0 – 36.0 |
| Size | SP (mm) | FP (mm) | S1 (mm) | S2 (mm) | S3 (mm) | S4 (mm) |
|---|---|---|---|---|---|---|
| 200 | 265 | 243 | 226 | 181 | 93 |
| Component | Commercial name | Voltage | Mass | Max force/torque | Speed |
|---|---|---|---|---|---|
| Arduino board | Mega 2560 23 | 7–12 V | 37 g | — | — |
| Linear actuator | L16-100-63-12-P 19 | 12 V | 74 g | 100 N | 20 mm/s |
| Servomotor | MG996R 20 | 4.8–7.2 V | 55 g | 150 N-cm | 461.5 deg/s |
| IMU | BMI16025 | 3–5 V | 2 g | — | — |
| Force sensor | Sparkfun Resistive sensor | — | 50 g | — | — |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).