“…The BWT61CL type attitude sensor with an accuracy of 0.05 angle produced by Shenzhen Weite Intelligent Company is selected to collect the joint angle, and the sensor is connected to the computer and the initial parameter setting is carried out through Bluetooth. In the experiment, the sensor was placed near the joint position to measure the corresponding angle [35]. Figure 10. Joint angle experimental system.…”
Section: Joint Angle Experiments and Results Analysismentioning
In view of the fact that the current research on active and passive rehabilitation training of lower limbs is mainly based on the analysis of exoskeleton prototype and the lack of analysis of the actual movement law of limbs, the human-machine coupling dynamic characteristics for active rehabilitation training of lower limbs are studied. In this paper, the forward and inverse kinematics are solved on the basis of innovatively integrating the lower limb and rehabilitation prototype into a human-machine integration system and equivalent to a five-bar mechanism. According to the constraint relationship of hip joint, knee joint and ankle joint, the Lagrange dynamic equation and simulation model of five-bar mechanism under the constraint of human physiological joint motion are constructed, and the simulation problem of closed-loop five-bar mechanism is solved. The joint angle experimental system was built to carry out rehabilitation training experiments to analyze the relationship between lower limb error and height, weight and BMI, and then, a personalized training planning method suitable for people with different lower limb sizes was proposed. The reliability of the method is proved by experiments. Therefore, we can obtain the law of limb movement on the basis of traditional rehabilitation training, appropriately reduce the training speed or reduce the man-machine position distance and reduce the training speed or increase the man-machine distance to reduce the error to obtain the range of motion angle closer to the theory of hip joint and knee joint respectively, so as to achieve better rehabilitation.
“…The BWT61CL type attitude sensor with an accuracy of 0.05 angle produced by Shenzhen Weite Intelligent Company is selected to collect the joint angle, and the sensor is connected to the computer and the initial parameter setting is carried out through Bluetooth. In the experiment, the sensor was placed near the joint position to measure the corresponding angle [35]. Figure 10. Joint angle experimental system.…”
Section: Joint Angle Experiments and Results Analysismentioning
In view of the fact that the current research on active and passive rehabilitation training of lower limbs is mainly based on the analysis of exoskeleton prototype and the lack of analysis of the actual movement law of limbs, the human-machine coupling dynamic characteristics for active rehabilitation training of lower limbs are studied. In this paper, the forward and inverse kinematics are solved on the basis of innovatively integrating the lower limb and rehabilitation prototype into a human-machine integration system and equivalent to a five-bar mechanism. According to the constraint relationship of hip joint, knee joint and ankle joint, the Lagrange dynamic equation and simulation model of five-bar mechanism under the constraint of human physiological joint motion are constructed, and the simulation problem of closed-loop five-bar mechanism is solved. The joint angle experimental system was built to carry out rehabilitation training experiments to analyze the relationship between lower limb error and height, weight and BMI, and then, a personalized training planning method suitable for people with different lower limb sizes was proposed. The reliability of the method is proved by experiments. Therefore, we can obtain the law of limb movement on the basis of traditional rehabilitation training, appropriately reduce the training speed or reduce the man-machine position distance and reduce the training speed or increase the man-machine distance to reduce the error to obtain the range of motion angle closer to the theory of hip joint and knee joint respectively, so as to achieve better rehabilitation.
Background: Sit-to-stand (STS) is an integral daily life activity. Handrail height significantly affects STS. However, the multifactorial influences of horizontal handrail height and width on STS have not been investigated. Purpose: The purpose of this study was to evaluate the influence of different heights and widths of horizontal handrails on the motion time, joint angles, and joint moments during STS to determine the optimal handrail height and width during STS. Methods:The study was conducted on 16 healthy young adults. Six experimental conditions were tested: high handrail large width; high handrail small width; medium handrail large width; middle handrail small width; low handrail large width; low handrail small width. The movement time, joint angle, and joint moment were analyzed and compared. Results: Different handrail heights had a significant influence on the percent of motion time in the first phase. Only handrail height significantly influenced the maximum trunk tilt angle. There was an interaction between handrail height and width for the peak hip joint moment. Conclusions: These findings indicated that people who have difficulty leaning forward will expend less effort and backward falls can be prevented when using the high handrail. The large width can be particularly helpful for patients with poor hip strength. Therefore, patients with impaired lower extremity strength can employ a high handrail with a large width to reduce the burden of performing STS transfers.
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