Biomechanical Devices
Mohammad Khavary; Mahdi Bamdad
Volume 15, Issue 1 , May 2021, , Pages 13-27
Abstract
Nowadays, one of the most effective tools for restoring patients' mobility and muscles strength is the use of stationary cycling exercises and pedaling. In this study, two methods for the treatment of lower limbs are made possible by the design, control implementation, and construction of an intelligent ...
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Nowadays, one of the most effective tools for restoring patients' mobility and muscles strength is the use of stationary cycling exercises and pedaling. In this study, two methods for the treatment of lower limbs are made possible by the design, control implementation, and construction of an intelligent exercise bike. According to the damage level, the patient will fall into the active-assisted training or passive training group. In a passive training program, patients do not have enough ability to pedal on the bike, so the motor will provide the power to reach a predefined pedaling speed. In this program, feet of patients will pedal at a constant speed above the speed patient is able to achieve compulsorily. In an active-assisted training program, the patient is already improved enough to have a higher ability to pedal at the same constant speed and the motor will provide less power according to the pedaling power of the patient. Hence, the provided power by the motor is set based on the provided force by the patient. In this study, it is aimed to design the control theory for these two treatment methods and this bike. Furthermore, speed control was done by force and speed feedback. Experimental and theoretical results showed that the implementation and equipping of stationary bike with the mentioned method has led the research to the goals of speed control for rehabilitation use. Eventually, the experimental results show an average accuracy of 98.71% for the passive method in the test sample reported in this study and 98.24% for the six tests after reaching a steady state speed. Also, these results are 96.33% for the active-assisted mode and for the test reported in this study; and 95.59% for four tests to reach the desired pedaling speed.
