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Abstract
In modern trauma and orthopaedic practice, the role of post-operative rehabilitation as a distinct clinical phase is steadily increasing. However, early mobilisation of the ankle joint – a proven method for preventing contractures and joint fibrosis – remains difficult to achieve: an analysis of commercially available CPM devices has shown that the average weight of these devices exceeds 12 kg, and the vast majority of designs are intended exclusively for use in a ‘seated’ position, which precludes their use in the acute postoperative period when strict bed rest is required.
The aim of the study is to develop and validate the architecture of a compact, passive-action mechanotherapy device free from the aforementioned limitations.
Materials and methods. The work was carried out using a systematic approach integrating biomechanical analysis of ankle joint movements, the synthesis of multi-link kinematic schemes using methods from the theory of mechanisms and machines, finite element analysis of load-bearing components, and topological optimisation of the design. The load-bearing components were manufactured using the fused deposition modelling (FDM) method from a carbon-fibre-reinforced PETG composite (PETG-CF).
Results. A prototype device for passive mechanotherapy of the ankle joint has been designed and manufactured. The proposed multi-link kinematic scheme with a variable instantaneous centre of rotation reproduces foot movements within a plantar flexion range of 0-40° and dorsiflexion range of 0-20°, with a trajectory error of no more than 2.5°. The use of additive manufacturing and topological optimisation has reduced the total weight of the device to 5 kg with dimensions of 400 × 350 × 450 mm. The modular design allows rehabilitation sessions to be conducted in both a «sitting» and «lying» position.
Conclusion. The developed device fills the functional gap between bulky stationary CPM machines and wearable exoskeletons for active walking, enabling early passive mobilisation directly at the patient’s bedside. A multi-level overload protection system and the ability to programme individual protocols create the conditions for clinical testing of the device in both inpatient and outpatient rehabilitation settings.
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The authors declare that they have no apparent or potential conflicts of interest related to the publication of this article.
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1. Skirmont EI, Golubeva YB, Zimina EL, Lade AS, Pitkin MR. Some Aspects of Orthopedic Rehabilitation for Children with Cerebral Palsy. Physical and Rehabilitation Medicine. 2023; 5(2): 72. Russian (Скирмонт Е.И., Голубева Ю.Б., Зимина Е.Л., Ладэ А.С., Питкин М.Р. Некоторые аспекты ортопедической реабилитации детей с церебральным параличом //Физическая и реабилитационная медицина. 2023. Т. 5, №. 2. С. 72.) doi: 10.26211/2658-4522-2023-5-2-72-86
2. Rashid M, Harish SP, Mathew J, Kalidas A, Raja K. Comprehensive rehabilitation outcome measurement scale (CROMS): development and preliminary validation of an interdisciplinary measure for rehabilitation outcomes. Health Qual Life Outcomes. 2022; 20(1): 160.) doi: 10.1186/s12955-022-02048-z
3. 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(1): 52. doi: 10.1186/s12984-021-00845-z
4. Qiu S, Pei Z, Wang C, Tang Z. Systematic review on wearable lower extremity robotic exoskeletons for assisted locomotion. J Bionic Engineering. 2023; 20(2): 436-469. doi: 10.1007/s42235-022-00289-8
5. Dupont PE, Nelson BJ, Goldfarb M, Hannaford B, Menciassi A, O'Malley MK, et al. A decade retrospective of medical robotics research from 2010 to 2020. Sci Robot. 2021; 6(60): eabi8017. doi: 10.1126/scirobotics.abi8017
6. Pinto-Fernandez D, Torricelli D, Sanchez-Villamanan MDC, Aller F, Mombaur K, Conti R, et al. Performance Evaluation of Lower Limb Exoskeletons: A Systematic Review. IEEE Trans Neural Syst Rehabil Eng. 2020; 28(7): 1573-1583. doi: 10.1109/TNSRE.2020.2989481
7. Witte KA, Fiers P, Sheets-Singer AL, Collins SH. Improving the energy economy of human running with powered and unpowered ankle exoskeleton assistance. Sci Robot. 2020; 5(40): eaay9108. doi: 10.1126/scirobotics.aay9108
8. Alvarez-Perez MG, Garcia-Murillo MA, Cervantes-Sánchez JJ. Robot-assisted ankle rehabilitation: a review. Disabil Rehabil Assist Technol. 2020; 15(4): 394-408. doi: 10.1080/17483107.2019.1578424
9. Wu R, Luo M, Fan J, Ma J, Zhang N, Li J, et al. A compact motorized end-effector for ankle rehabilitation training. Front Robot AI. 2024; 11: 1453097. doi: 10.3389/frobt.2024.1453097
10. Dong M, Fan W, Li J, Zhou X, Rong X, Kong Y. A new ankle robotic system enabling whole-stage compliance rehabilitation training. IEEE/ASME transactions on mechatronics. 2020; 26(3): 1490-1500. doi: 10.1109/TMECH.2020.3022165
11. Knyazev AA, Fedorov AV, Yatsun AS. Algorithm for Controlling the Movement of the Actuator of the Device for Active-Passive Mechanotherapy of the Ankle Join. Proceedings of the Southwest State University. 2022; 26(4): 75-87. Russian (Князев А.А., Федоров А.В., Яцун А.С. Алгоритм управления движением исполнительного механизма прибора для активно-пассивной механотерапии голеностопного сустава //Известия Юго-Западного государственного университета. 2022. Т. 26, №. 4. С. 75-87.) doi: 10.21869/2223-1560-2022-26-4-75-87