Abstract
The development of an electronic system for force measurement in a hand exoskeleton robot is presented, where the placement of these force sensors is performed in confined spaces with the objective of taking measurements in the proximal and distal phalanges of the user to carry out controls focused on motor rehabilitation of the hand and also to provide support and strength enhancement to users. The results obtained indicate that measurements of force exerted by the user can be obtained up to 0.9 kg in flexion movements and up to 1 kg in extension movements.
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References
Aggogeri, F., Mikolajczyk, T., O’Kane, J.: Robotics for rehabilitation of hand movement in stroke survivors. Adv. Mech. Eng. 11, 1687814019841921 (2019). https://doi.org/10.1177/1687814019841921
Pu, S., Pei, Y., Chang, J.: Decoupling finger joint motion in an exoskeletal hand: a design for robot-assisted rehabilitation. IEEE Trans. Ind. Electron. 67, 686–697 (2020)
Lee, Y.: Design of exoskeleton robotic hand/arm system for upper limbs rehabilitation considering mobility and portability. In: 2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp. 540–544 (2014)
Lee, J., Park, W., Kim, S., Bae, J.: Design of a wearable hand rehabilitation system for quantitative evaluation of the stroke hand. In: 2016 16th International Conference On Control, Automation And Systems (ICCAS), pp. 419–422 (2016)
Nycz, C., Bützer, T., Lambercy, O., Arata, J., Fischer, G., Gassert, R.: Design and characterization of a lightweight and fully portable remote actuation system for use with a hand exoskeleton. IEEE Rob. Autom. Lett. 1, 976–983 (2016)
Guo, S., Zhao, X., Wei, W., Guo, J., Zhao, F., Hu, Y.: Feasibility study of a novel rehabilitation training system for upper limb based on emotional control. In: 2015 IEEE International Conference On Mechatronics And Automation (ICMA), pp. 1507–1512 (2015)
Zhang, S., Guo, S., Gao, B., Hirata, H., Ishihara, H.: Design of a novel telerehabilitation system with a force-sensing mechanism. Sensors 15, 11511–11527 (2015). https://www.mdpi.com/1424-8220/15/5/11511
Jo, I., Bae, J.: A force-controllable compact actuator module for a wearable hand exoskeleton. IFAC Proc. Vol. 47, 4453–4458 (2014)
Zhou, Y., Zhang, P., **ao, K., Luo, J., Yang, J.: Research on a new structure of hand exoskeleton for rehabilitation usage. In: 2017 4th International Conference On Information Science And Control Engineering (ICISCE), pp. 1126–1130 (2017)
Kazerooni, H.: Exoskeletons for human power augmentation. In: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3459–3464 (2005)
Cortese, M., Cempini, M., De Almeida Ribeiro, P., Soekadar, S., Carrozza, M., Vitiello, N.: A mechatronic system for robot-mediated hand telerehabilitation. IEEE/ASME Trans. Mechatron. 20, 1753–1764 (2015)
Riener, R., et al.: A view on VR-enhanced rehabilitation robotics. In: 2006 International Workshop on Virtual Rehabilitation, pp. 149–154 (2006)
Patar, M., Komeda, T., Low, C., Mahmud, J.: System integration and control of finger orthosis for post stroke rehabilitation. Procedia Technol. 15, 755–764 (2014). https://www.sciencedirect.com/science/article/pii/S2212017314001637
Guo, S., Zhang, W., Guo, J., Gao, J. Hu, Y.: Design and kinematic simulation of a novel exoskeleton rehabilitation hand robot. In: 2016 IEEE International Conference on Mechatronics and Automation, pp. 1125–1130 (2016). https://doi.org/10.1109/ICMA.2016.7558720
Gabriel, D., Kamen, G., Frost, G.: Neural adaptations to resistive exercise. Sports Med. 36, 133–149 (2006). https://doi.org/10.2165/00007256-200636020-00004
Dong, S., Lu, K., Sun, J., Rudolph, K.: Rehabilitation device with variable resistance and intelligent control. Med. Eng. Phys. 27, 249–255 (2005). https://www.sciencedirect.com/science/article/pii/S1350453304001754
Wolf, S., et al.: Effect of constraint-induced movement therapy on upper extremity function 3 to 9 months after stroke: the EXCITE randomized clinical trial. JAMA 296, 2095–2104 (2006)
Bayona, N., Bitensky, J., Salter, K., Teasell, R.: The role of task-specific training in rehabilitation therapies. Topics Stroke Rehabil. 12, 58–65 (2005)
Jones, C., Wang, F., Morrison, R., Sarkar, N., Kamper, D.: Design and development of the cable actuated finger exoskeleton for hand rehabilitation following stroke. IEEE/ASME Trans. Mechatron. 19, 131–140 (2014)
Wang, J., Li, J., Zhang, Y. Wang, S.: Design of an exoskeleton for index finger rehabilitation. In: Proceedings of the 31st Annual International Conference of the IEEE EMBS (2009)
Sandoval-Gonzalez, O., et al.: Design and development of a hand exoskeleton robot for active and passive rehabilitation. Int. J. Adv. Rob. Syst. 13, 66 (2016)
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German-Alonso, D. et al. (2023). Electronic System to Determine Proximal and Medial Phalanges Strength in a Hand Exoskeleton Robot. In: Trujillo-Romero, C.J., et al. XLV Mexican Conference on Biomedical Engineering. CNIB 2022. IFMBE Proceedings, vol 86. Springer, Cham. https://doi.org/10.1007/978-3-031-18256-3_82
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