ABSTRACT
With the popularization of biomechanical simulation technology, aiming at the rehabilitation of ankle joint injury, we imported simplified model of proposed 2-UPS/RR (two identical unconstraint kinematic branches with a universal-prismatic-spherical (UPS) structure and two rotating pair (R)) ankle rehabilitation robot into AnyBody Modeling System. Therefore, a human-machine model was established using the HILL-type muscle model and muscle recruitment criteria. This paper investigated the effects of rehabilitation trajectories on biomechanical response during rehabilitation. Additionally, three main lower limb muscles (soleus, peroneal brevis, and extensor digitorum longus) were examined under different rehabilitation trajectories (plantar dorsiflexion, varus or valgus, and compound movement) in the present study. Based on the biomechanical response of lower limbs, the results showed that different muscles had different sensitivities to the change of rehabilitation trajectories. The correlation coefficient between joint force and plantar dorsiflexion angle reached 0.99 (P < 0.01), indicating that the change of joint force was mainly dominated by plantar dorsiflexion/plantar flexion, but also affected by varus or valgus. Safe rehabilitation training can be achieved by controlling the designed 2-UPS/RR rehabilitation robot. The behavior of muscle force and joint force under different rehabilitation trajectories can meet the needs of rehabilitation and treatment of joint diseases, and provide more reasonable suggestions for early rehabilitation.
Subject(s)
Ankle , Robotics , Humans , Ankle Joint/physiology , Electromyography , Muscle, Skeletal/physiology , Biomechanical PhenomenaABSTRACT
Objective A 2-PSU/ RR parallel ankle rehabilitation robot was designed, and the biomechanical properties of human muscles were also analyzed, so as to study rehabilitation strategy of the ankle rehabilitation robot. Methods The actual workspace of the robot was obtained by numerical discrete search method, and the effect of structural parameter changes on the height of robot moving platform was explored. Then the human biomechanical responses such as muscle force and muscle mobility were obtained by human biomechanical simulation software AnyBody, so as to investigate the effect of moving platform height changes on muscle behavior. Results The robot could meet the demand of ankle plantarflexion/ dorsiflexion and inversion/ eversion motion. Appropriately increasing the initial inclination angle and decreasing the length of the fixed-length bar enabled the ankle rehabilitation robot to have a lower overall height. The height of the moving platform was decreased by 10 mm in turn, and the muscle force and muscle activity of the human body involved in the movement were decreased to a certain extent. Conclusions This study provides a new design solution for ankle rehabilitation, offers theoretical guidance for motion analysis of the ankle rehabilitation robot, and accelerates rehabilitation of the patients’ ankles by modifying the mechanism parameters.
ABSTRACT
BACKGROUND: Many sports and physical activities can result in lower limb injures. Pedaling is an effective exercise for lower extremity rehabilitation, but incorrect technique may cause further damage. To some extent, previous experiments have been susceptible to bias in the sample recruited for the study. Alternatively, methods used to simulation activities can enable parametric studies without the influence of noise. In addition, models can facilitate the study of all muscles in the absence of the effects of fatigue. This study investigated the effects of crank length on muscle behavior during pedaling. METHODS: Six muscles (soleus, tibialis anterior, vastus medialis, vastus lateralis, gastrocnemius, and rectus femoris), divided into three groups (ankle muscle group, knee muscle group, and biarticular muscle group), were examined under three cycling crank lengths (100 mm, 125 mm, and 150 mm) in the present study. In addition, the relationship between crank length and muscle biological force was analyzed with the AnyBody Modeling System™, a human simulation modeling software based on the Hill-type model. Findings. Based on inverse kinematic analysis, the results indicate that muscle activity and muscle force decrease in varying degrees with increases in crank length. The maximum and minimum muscular forces were attained in the tibialis anterior and vastus lateralis, respectively. Interpretation. Studying the relationship between muscle and joint behavior with crank length can help rehabilitation and treating joint disorders. This study provides the pedal length distribution areas for patients in the early stages of rehabilitation.
ABSTRACT
Sports injuries or traffic accidents make the individuals bedridden for a long duration, easily causing the disuse of lower limb muscles. Exercise rehabilitation is an effective method to improve muscle activity; however, currently, exercise therapy mainly relies on the experience of rehabilitation physicians for determining the rehabilitation parameters. In this paper, we establish a human-machine coupling system model for disuse atrophy of lower limb muscles. We analyze the influence of sitting position on pedaling rehabilitation. The relationship between the sitting position and muscle effect of lower limb muscle is calculated. We optimized the parameters to analyze muscle force and activity distribution in the muscle group during different sitting positions, and the rehabilitation risk area and the invalid area were identified from the distribution map, which helps quantify the maximal exercise of muscles without causing secondary muscle damage. The mapping relationship between sitting position and muscle force was established in this study. Further, muscle activity mapping is performed for overall assessment. Muscle activity assessment considered the training intensity of small muscles and avoids secondary injury of small muscle. The corresponding designated sitting posture improved the intensity of muscle training and shortened the rehabilitation cycle. Systematic distribution areas for different rehabilitation effects in pedal exercises are presented and provide the sitting position distribution areas for patients in the early, middle, and late stages. The proposed model provides theoretical guidance for rehabilitation physicians.
Subject(s)
Exercise Therapy , Muscles/physiology , Sitting Position , Biomechanical Phenomena , Computer Simulation , Humans , Muscle StrengthABSTRACT
Objective Based on ergonomics and biomechanics simulation technology, the biological evaluations of human muscles and the rehabilitation strategies of foot rehabilitation robot with adjustable swing were carried out and studied. Methods The human-robot coupling model of human body and foot rehabilitation robot with adjustable swing were established by using AnyBody software. Through kinematics simulation of the coupling model, the comparison between the simulation result and the theoretical calculation result confirmed reliability of the coupling model. The parameter study of AnyBody software was used to perform the biomechanical simulation of the verified coupling model. By regarding velocity and swing of the foot rehabilitation robot as variables, the muscle activity and muscle force under different combinations of variables were analyzed. ResultsDuring rehabilitation exercise, stretching performance of the foot related-muscles was effectively trained. The influence of different velocity and swing amplitude on muscles was different, and safety range of the velocity and swing adjustment was obtained. Conclusions The combined analysis of muscle activity and muscle force under different velocity and swing was achieved. The results have certain guiding significance on clinical application of foot rehabilitation robot and formulation of rehabilitation strategies in passive rehabilitation mode.
ABSTRACT
Objective To study the influence of different trajectories of 3-PH/R ankle rehabilitation robot on joints and muscles. Methods The 3-PH/R ankle rehabilitation robot was simplified and imported into biomechanical modeling software by analyzing the kinematics principles. Using the actual motion trajectory of ankle rehabilitation robot as model driving, the joint and muscle forces were compared under three different trajectories, namely, dorsiflexion/plantarflexion, inversion/eversion and nutation. The correlation analysis on three motion trajectories was conducted. Results Nutation could satisfy the function of both plantar dorsiflexion/plantarflexion, and inversion/eversion, and made the ankle muscles fully exercised. The maximum difference in joint force under three different rehabilitation trajectories was 0.3 N. Different muscles had different sensitivity to trajectories. Conclusions The continuous dynamic analysis of muscle force and joint force under three kinds of rehabilitation trajectories was implemented. The results have certain theoretical significance and clinical reference value for the clinical application of ankle rehabilitation robot and the formulation of rehabilitation trajectory.
