Dynamometer prototype to assess muscle strength in wheelchair users. First part: literature review and simulation of the dynamic model

Authors

DOI:

https://doi.org/10.5902/2179460X92207

Keywords:

Dynamometer, Manual wheelchair, Propulsion cycle, Movement of wheelchair users in real environments

Abstract

This paper presents a detailed literature review on the main aspects of a low-cost experimental dynamometer model designed to assess the muscular strength of wheelchair users. In this context, the literature review covers the propulsion cycle of the manual wheelchair, typically segmented into contact and recovery phases, with biomechanical studies investigating the forces applied, joint movements and propulsive efficiency in various techniques and conditions. Additionally, the review explores the movement of wheelchair users in real environments, emphasizing the diversity of terrains and the demands on muscular strength in daily activities, which underscores the importance of a dynamometer that reflects the practical use of the wheelchair. Finally, the application of MATLAB$/Simulink in the simulation of dynamometer models and biomechanical systems is discussed, highlighting its potential to model, analyze and optimize the design of the proposed dynamometer before its physical implementation. In summary, this review establishes the theoretical basis for the development of an accessible dynamometer, integrating knowledge about propulsion, real movements and computational simulation tools, aiming at a more pertinent assessment of the muscular strength of wheelchair users and, consequently, contributing to their physical assessment, rehabilitation and quality of life.

Downloads

Download data is not yet available.

Author Biographies

Simone Ferigolo Venturini, Universidade Federal de Santa Maria ,Universidade Federal de Santa Maria

MSc in Mechanical Engineering, PhD student in the postgraduate program in
production engineering PPGEP-UFSM, Santa Maria, RS.

André Caldeira, Universidade Federal de Santa Maria

PhD in Electrical Engineering, Professor of the Electrical Engineering course, Federal
University of Santa Maria - Cachoeira do Sul

Charles Rech, Universidade Federal de Santa Maria

PhD in Mechanical Engineering, Professor of the Mechanical Engineering course,
Federal University of Santa Maria - Cachoeira do Sul.

Cristiano Frandalozo Maidana, Universidade Federal de Santa Maria

PhD in Mechanical Engineering, Professor of the Mechanical Engineering course,
Federal University of Santa Maria - Cachoeira do Sul.

Carmen Brum Rosa, Universidade Federal de Santa Maria

PhD in Electrical Engineering, Professor in the Posgraduate Program in Production
Engineering (PPGEP), Federal University of Santa Maria - Santa Maria

References

Ashwindran, S., Azizuddin, A., & Oumer, A. (2023). A low-cost digital torquemeter coordinated by arduino board. International Journal of Integrated Engineering, 15(1):118–130.

Baumgart, J. K., Brurok, B., & Sandbakk, Ø. (2020). Comparison of peak oxygen uptake between upper-body exercise modes: a systematic literature review and meta-analysis. Frontiers in Physiology, 11:412.

Boninger, M. L., Souza, A. L., Cooper, R. A., Fitzgerald, S. G., Koontz, A. M., & Fay, B. T. (2002). Propulsion patterns and pushrim biomechanics in manual wheelchair propulsion. Archives of physical medicine and rehabilitation, 83(5):718–723.

Brouha, L. & Krobath, H. (1967). Continuous recording of cardiac and respiratory functions in normal and handicapped people. Human factors, 9(6):567–571.

de Barros Lombardi Jr, A. & Dedini, F. G. (2009). Biomechanical model for the determination of forces on upper-extremity members during standard wheelchair propulsion. Mathematical and computer modelling, 49(7-8):1288–1294.

De Klerk, R., Vegter, R. J. K., Goosey-Tolfrey, V. L., Mason, B. S., Lenton, J. P., Veeger, D. H., & Van Der Woude, L. H. (2019). Measuring handrim wheelchair propulsion in the lab: a critical analysis of stationary ergometers. IEEE reviews in biomedical engineering, 13:199-211.

Gagnon, D. H., Jouval, C., & Ch´enier, F. (2016). Estimating pushrim temporal and kinetic measures using an instrumented treadmill during wheelchair propulsion: A concurrent validity study. Journal of biomechanics, 49(9):1976–1982.

Glaser, R. M., Sawka, M. N., Laubach, L. L., & Suryaprasad, A. G. (1979). Metabolic and cardiopulmonary responses to wheelchair and bicycle ergometry. Journal of Applied Physiology, 46(6):1066–1070.

Goosey-Tolfrey, V. L. & Moss, A. D. (2005). Wheelchair velocity of tennis players during propulsion with and without the use of racquets. Adapted physical activity quarterly, 22(3):291–301.

Horvat, M. A., Golding, L. A., Beutel-Horvat, T., & McConnell, T. J. (1984). A treadmill modification for wheelchairs. Research Quarterly for Exercise and Sport, 55(3):297–301.

Kwarciak, A. M., Yarossi, M., Ramanujam, A., Dyson-Hudson, T. A., & Sisto, S. A. (2009). Evaluation of wheelchair tire rolling resistance using dynamometer-based coast- down tests. Journal of Rehabilitation Research & Development, 46(7).

Maheriya, S. & Parikh, P. (2016). A review: Modelling of brushed dc motor and various type of control methods. Journal for Research, 1.

Martin, X., Tordi, N., Bougenot, M., & Rouillon, J. (2002). Analyse critique des mat´eriels et des m´ethodes d’´evaluation de l’aptitude physique chez le bless´e m´edullaire en fauteuil roulant. Science & Sports, 17(5):209–219.

Masse, L. C. & Lamontagne, M. (1992). Biomechanical analysis of wheelchair propulsion for various seating positions. Journal of Rehabilitation Research & Development, 29(3).

Mathworks (2025). Estimate parameters from measured data. https://la.mathworks.com/help/sldo/gs/estimate-parameters-from-measured-data-using-the-gui.html. Acessado em: 22 de maio de 2025.

Oliveira, S., Bione, A. A., Oliveira, L., Costa, A., Guimar˜aes, F., & Costa, M. (2017). The compact wheelchair roller dynamometer. Sports Medicine International Open, 1:E119–E127.

Rahman, N. & Yahya, N. (2021). A mathematical model of a brushed dc motor system. Data Analytics and Applied Mathematics (DAAM), pages 60–68.

Rao, S. S., Bontrager, E. L., Gronley, J., Newsam, C. J., & Perry, J. (1996). Three-dimensional kinematics of wheelchair propulsion. IEEE Transactions on Rehabilitation Engineering, 4(3):152–160.

Rodrigues da Silva, M., Marques, F., Tavares da Silva, M., & Flores, P. (2023). A comprehensive review on biomechanical modeling applied to device-assisted locomotion. Archives of Computational Methods in Engineering, 30(3):1897–1960.

Shimada, S. D., Robertson, R. N., Bonninger, M. L., & Cooper, R. A. (1998). Kinematic characterization of wheelchair propulsion. Journal of rehabilitation research and development, 35(2):210–218.

Silva, D. C., Paschoarelli, L. C., & Medola, F. O. (2019). Evaluation of two wheelchair hand rim models: contact pressure distribution in straight line and curve trajectories. Ergonomics, 62(12):1563–1571.

Vanlandewijck, Y., Theisen, D., & Daly, D. (2001). Wheelchair propulsion biomechanics: implications for wheelchair sports. Sports medicine, 31:339–367.

Wieczorek, B., Kukla, M., Warguła, Ł., G´orecki, J., & Berdychowski, M. (2019). Design and engineering of a test stand for testing human-wheelchair anthropotechnical systems. Research on the Biomechanics of Manual Wheelchair Drive for Innovative Manual and Hybrid Drives, pages 41–51.

Wieczorek, B. & Sydor, M. (2024). Laboratory assessment of manual wheelchair propulsion. Applied Sciences, 14(22):10737.

Wieczorek, B. & Warguła, Ł. (2019). Problems of dynamometer construction for wheelchairs and simulation of push motion. In MATEC Web of Conferences, volume 254, page 01006. EDP Sciences.

Published

2025-11-19

Issue

Section

III Feira de Ciências, Tecnologia e Inovação da UFSM-CS

Most read articles by the same author(s)

1 2 > >>