Assessment of the level of unwanted loads in the RRG-100 pneumatic trainer using simulation modeling in MATLAB

Authors

DOI:

https://doi.org/10.31649/1681-7893-2026-51-1-227-234

Keywords:

Pneumatic trainer RRG 100, unwanted loads, MATLAB, simulation modeling, hand rehabilitation, soft robotics, pneumatic actuator, incoherence

Abstract

The paper presents an approach to assessing the level of undesirable loads in the RRG-100 pneumatic simulator using simulation modeling in MATLAB by solving a direct kinematics problem. An interactive interface has been developed that allows entering user anthropometric data; simulating bending angles in the joints. The finger geometries and the trajectory of the tip of the phalanx have been constructed using low-level graphics functions. It has been determined that the misalignment of the anatomical and mechanical axes of the device leads to the occurrence of undesirable loads. The proposed approach provides a basis for further development of individual adjustment systems for pneumatic simulators of the RRG-100 type. It is planned to create an experimental circuit using resistive bending sensors mounted on the phalanges of the finger, which will allow experimental measurement of bending angles and assessment of the adequacy of the developed model.

Author Biographies

O.M. Datsok, Kharkiv National University of Radio Electronics

PhD, доцент кафедри біомедичної інженерії

O.P. Trofymova, National Technical University "Dnipro Polytechnic"

Старший викладач кафедри транспортних систем та енергомеханічних комплексів

References

Q. Tang et al., "Research trends and hotspots of post-stroke upper limb dysfunction: a bibliometric and visualization analysis," Front. Neurol., vol. 15, p. 1449729, Oct. 2024, doi: 10.3389/fneur.2024.1449729.

H. K. Yap, J. H. Lim, F. Nasrallah, F. Low, J. Goh, and R. Yeow, "MRC-glove: fMRI compatible soft robotic glove for hand rehabilitation," in Proc. IEEE, 2015, doi: 10.1109/ICORR.2015.7281289.

P. Polygerinos, Z. Wang, and K. C. Galloway, "Soft robotic glove for combined assistance and at-home rehabilitation," Rob. Auton. Syst., vol. 73, pp. 135–143, 2015.

C. Y. Chu and R. M. Patterson, "Soft robotic devices for hand rehabilitation and assistance: a narrative review," J. NeuroEng. Rehabil., vol. 15, no. 1, pp. 1–14, 2018.

P. Corke, Robotics, Vision and Control: Fundamental Algorithms In MATLAB, 2nd ed. Springer, 2017.

"RRG-100 Hand Function Rehabilitation Robot Gloves." [Online]. Available: https://manuals.plus/commsin/rrg-100-hand-function-rehabilitation-robot-gloves-manual. Accessed: May 20, 2026.

O. M. Datsok and O. P. Trofymova, “Features of the use of a pneumatic trainer for hand mobility recovery,” in Proc. 81st Student Sci. Tech. Conf. “Student Science Week – 2026”, Dnipro, Ukraine: NTU “Dnipro Polytechnic,” Apr. 20–24, 2026.

X. Wang, C. Cho, P. Zhang, S. Ge, and J. Chen, "Medical Imaging-Based Kinematic Modeling for Biomimetic Finger Joints and Hand Exoskeleton Validation," Biomimetics, vol. 10, no. 10, p. 652, Oct. 2025, doi: 10.3390/biomimetics10100652.

A. Schiele and F. C. Van Der Helm, "Kinematic design to improve ergonomics in human machine interaction," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 14, no. 4, pp. 456–469, 2006.

V. Avilés-Carrillo, R. G. Molinari, G. A. G. De Villa, and L. A. Elias, “A Biomechanical Hand Model to Quantify Finger Joint Kinematics Using a 3D Motion Capture System,” bioRxiv, 2026. [Online]. Available: https://www.biorxiv.org/content/10.64898/2026.02.09.704796v1.

S. Cobos, M. Ferre, M. A. Uran, and J. Ortego, “Human hand kinematics modeling,” in Proc. IEEE Int. Symp. on Industrial Electronics (ISIE 2008), 2008, pp. 2261–2266. doi: 10.1109/ISIE.2008.4677275.

O. V. Herasymenko and Y. V. Antonova-Rafi, “Biomechanical modeling and kinematic analysis of a hand exoskeleton,” Biomedical Engineering, no. 2, pp. 45–52, 2020.

M. J. Al-Khafaji et al., “Kinematic modeling of a human finger using Denavit-Hartenberg (D-H) parameters,” Journal of Mechanical Engineering Research and Developments, vol. 43, no. 5, pp. 312–323, 2020.

J. Corbett, “Development and clinical bench testing of a MATLAB-based, user-friendly, deployable software application for automatic batch processing of fully instrumented three-dimensional human movement biomechanics data,” Ph.D. dissertation, Univ. Strathclyde, 2015.

A. B. Neto et al., “Predictive modeling systems with graphical user interface using MATLAB,” Energies, vol. 13, no. 1, p. 15, 2025.

V. B. Strutynskyi and A. V. Lavryk, “Modeling of kinematics of biomechanical systems considering joint axis displacement,” Scientific Notes, no. 65, pp. 112–119, 2019.

P. I. Kulakov and O. M. Tkachenko, “Development of graphical user interfaces in MATLAB for applied modeling tasks,” Bulletin of Vinnytsia Polytechnic Institute, no. 4, pp. 89–95, 2019.

V. P. Yatsenko and S. O. Hrytsenko, “Automation of analysis of human biomechanical movement parameters using MATLAB,” Ukrainian Journal of Medical Engineering and Technology, vol. 3, no. 11, pp. 34–40, 2021.

S. Kakar, “Development of a MATLAB GUI for biomechanical data analysis and visualization,” International Journal of Computer Applications, vol. 177, no. 32, pp. 14–19, 2020.

MathWorks, "App Building in MATLAB." [Online]. Available: https://www.mathworks.com/help/matlab/app-building.html. Accessed: Mar. 16, 2026.

O. M. Datsok and O. P. Trofymova, “Assessment of unwanted loads during operation of the RRG-100 pneumatic trainer using MATLAB,” in Proc. XXXIV Int. Sci. Pract. Conf. “Information Technologies: Science, Engineering, Technology, Education, Health (MicroCAD-2026)”, Kharkiv, Ukraine: NTU “KhPI,” May 13–16, 2026, p. 1705.

S. Högg, M. Holzgraefe, I. Wingendorf, J. Mehrholz, C. Herrmann, and M. Obermann, "Upper limb strength training in subacute stroke patients: study protocol of a randomised controlled trial," Trials, vol. 20, no. 1, p. 168, Mar. 2019, doi: 10.1186/s13063-019-3261-3.

K. G. Selivanova, “Evaluation of the degree of hand motor impairments during physical rehabilitation,” in Proc. VIII Int. Sci. Tech. Conf. “Polygraphic, Multimedia and Web Technologies”, Kharkiv, Ukraine, May 16–20, 2023, pp. 114–115.

K. G. Selivanova, O. G. Avrunin, S. Zlepko, Y. Y. Guminskyi, O. A. Poplavskyy, K. Gromaszek, A. Bizhanova, and G. Kalimbetov, “The tracking system of a three-dimensional position of hand movement for tremor detection,” in Proc. SPIE 11581, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2020, Oct. 14, 2020, Art. no. 115810I. doi: 10.1117/12.2580330.

Downloads

Abstract views: 11

Published

2026-06-18

How to Cite

[1]
O. Datsok and O. Trofymova, “Assessment of the level of unwanted loads in the RRG-100 pneumatic trainer using simulation modeling in MATLAB”, Опт-ел. інф-енерг. техн., vol. 51, no. 1, pp. 227–234, Jun. 2026.

Issue

Section

Biomedical Optical And Electronic Systems And Devices

Metrics

Downloads

Download data is not yet available.

Most read articles by the same author(s)