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Zhang J, Ma Z, Wei J, Yang S, Liu C, Guo S. A Novel Evaluation Index and Optimization Method for Ankle Rehabilitation Robots Based on Ankle-Foot Motion. J Biomech Eng 2023; 145:1155014. [PMID: 36537826 DOI: 10.1115/1.4056479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 12/09/2022] [Indexed: 02/02/2023]
Abstract
The ability of ankle rehabilitation robots to accurately mimicking the actual human ankle motion is an important judgment basis for robot-assisted rehabilitation training. This paper proposes an evaluation index and mechanism parameter optimization method based on ankle-foot motion trajectory by exploring the human ankle-foot motion principle. First, the ankle UR equivalent model and a 3-degree-of-freedom (DOF) parallel ankle rehabilitation robot are described. Second, the ankle-foot motion data are measured by the body surface marker method, which proved the coupling of ankle-foot motion. Then, a new evaluation index, the ankle-foot motion comfort zone, is proposed, which is essentially the superimposed ankle-foot motion trajectory measured about 3-5 mm wide. Third, a mechanism parameter optimization method, is proposed in terms of the ankle-foot motion comfort zone as the evaluation index, which is applied to the 3-DOF parallel ankle rehabilitation robot, and the optimization results proved the feasibility of the method. Finally, the optimized rehabilitation robot is fitted with different ankle motions, and a prototype model is designed for kinematics simulation, which verifies the adaptability of the optimization method. This study provides a theoretical basis for the configuration design of ankle rehabilitation robots and provides a new direction for the optimization of the mechanism parameters.
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Affiliation(s)
- Jianjun Zhang
- School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China; Intelligent Rehabilitation Device and Detection Technology Engineering Research Center of the Ministry of Education, Tianjin 300130, China; Hebei Province Key Laboratory of Robot Perception and Human-Machine Fusion, Tianjin 300130, China
| | - Zhihao Ma
- School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China; Intelligent Rehabilitation Device and Detection Technology Engineering Research Center of the Ministry of Education, Tianjin 300130, China; Hebei Province Key Laboratory of Robot Perception and Human-Machine Fusion, Tianjin 300130, China
| | - Jun Wei
- School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China; Intelligent Rehabilitation Device and Detection Technology Engineering Research Center of the Ministry of Education, Tianjin 300130, China; Hebei Province Key Laboratory of Robot Perception and Human-Machine Fusion, Tianjin 300130, China
| | - Shuai Yang
- School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
| | - Chenglei Liu
- School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
| | - Shijie Guo
- School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China; Intelligent Rehabilitation Device and Detection Technology Engineering Research Center of the Ministry of Education, Tianjin 300130, China; Hebei Province Key Laboratory of Robot Perception and Human-Machine Fusion, Tianjin 300130, China
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Zou Y, Zhang A, Zhang Q, Zhang B, Wu X, Qin T. Design and Experimental Research of 3-RRS Parallel Ankle Rehabilitation Robot. MICROMACHINES 2022; 13:mi13060950. [PMID: 35744564 PMCID: PMC9228808 DOI: 10.3390/mi13060950] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 06/01/2022] [Accepted: 06/10/2022] [Indexed: 12/24/2022]
Abstract
The ankle is a crucial joint that supports the human body weight. An ankle sprain will adversely affect the patient’s daily life, so it is of great significance to ensure its strength. To help patients with ankle dysfunction to carry out effective rehabilitation training, the bone structure and motion mechanism of the ankle were analyzed in this paper. Referring to the configuration of the lower-mobility parallel mechanism, a 3-RRS (R and S denote revolute and spherical joint respectively) parallel ankle rehabilitation robot (PARR) was proposed. The robot can realize both single and compound ankle rehabilitation training. The structure of the robot was introduced, and the kinematics model was established. The freedom of movement of the robot was analyzed using the screw theory, and the robot kinematics were analyzed using spherical analytics theory. A circular composite rehabilitation trajectory was planned, and the accuracy of the kinematics model was verified by virtual prototype simulation. The Multibody simulation results show that the trajectory of the target point is basically the same as the expected trajectory. The maximum trajectory error is about 2.5 mm in the simulation process, which is within the controllable range. The experimental results of the virtual prototype simulation show that the maximum angular deflection error of the three motors is 2° when running a circular trajectory, which meets the experimental requirements. Finally, a control strategy for passive rehabilitation training was designed, and the effectiveness of this control strategy was verified by a prototype experiment.
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Affiliation(s)
- Yupeng Zou
- College of Mechanical and Electronic Engineering, China University of Petroleum (East China), Qingdao 266580, China; (Y.Z.); (A.Z.); (Q.Z.); (B.Z.); (X.W.)
- Xiangyang Key Laboratory of Rehabilitation Medicine and Rehabilitation Engineering Technology, Hubei University of Arts and Science, Xiangyang 441053, China
| | - Andong Zhang
- College of Mechanical and Electronic Engineering, China University of Petroleum (East China), Qingdao 266580, China; (Y.Z.); (A.Z.); (Q.Z.); (B.Z.); (X.W.)
| | - Qiang Zhang
- College of Mechanical and Electronic Engineering, China University of Petroleum (East China), Qingdao 266580, China; (Y.Z.); (A.Z.); (Q.Z.); (B.Z.); (X.W.)
| | - Baolong Zhang
- College of Mechanical and Electronic Engineering, China University of Petroleum (East China), Qingdao 266580, China; (Y.Z.); (A.Z.); (Q.Z.); (B.Z.); (X.W.)
| | - Xiangshu Wu
- College of Mechanical and Electronic Engineering, China University of Petroleum (East China), Qingdao 266580, China; (Y.Z.); (A.Z.); (Q.Z.); (B.Z.); (X.W.)
| | - Tao Qin
- Xiangyang Key Laboratory of Rehabilitation Medicine and Rehabilitation Engineering Technology, Hubei University of Arts and Science, Xiangyang 441053, China
- School of Mechanical Engineering, Hubei University of Arts and Science, Xiangyang 441053, China
- Correspondence: ; Tel.: +86-186-7107-6897
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A 4-DOF Workspace Lower Limb Rehabilitation Robot: Mechanism Design, Human Joint Analysis and Trajectory Planning. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10134542] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Most of currently rehabilitation robots cannot achieve the adduction/abduction (A/A) training of the hip joint and lack the consideration of the patient handling. This paper presents a four degrees of freedom (DOF) spatial workspace lower limb rehabilitation robot, and it could provide flexion/extension (F/E) training to three lower limb joints and A/A training to the hip joint. The training method is conducting the patient’s foot to complete the rehabilitation movement, and the patient could directly take training on the wheelchair and avoid frequent patient handling between the wheelchair and the rehabilitation device. Because patients own different joint range of motions (ROM), an analysis method for obtaining human joint motions is proposed to guarantee the patient’s joint safety in this training method. The analysis method is based on a five-bar linkage kinematic model, which includes the human lower limb. The human-robot hybrid kinematic model is analyzed according to the Denavit-Hartenberg (D-H) method, and a variable human-robot workspace based on the user is proposed. Two kinds of trajectory planning methods are introduced. The trajectory planning method and the human joint analysis method are validated through the trajectory tracking experiment of the prototype.
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Research on an Ankle Joint Auxiliary Rehabilitation Robot with a Rigid-Flexible Hybrid Drive Based on a 2-S'PS' Mechanism. Appl Bionics Biomech 2019; 2019:7071064. [PMID: 31396290 PMCID: PMC6664738 DOI: 10.1155/2019/7071064] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 02/27/2019] [Indexed: 11/24/2022] Open
Abstract
An ankle joint auxiliary rehabilitation robot has been developed, which consists of an upper platform, a lower platform, a dorsiflexion/plantar flexion drive system, a varus/valgus drive system, and some connecting parts. The upper platform connects to the lower platform through a ball pin pair and two driving branch chains based on the S′PS′ mechanism. Although the robot has two degrees of freedom (DOF), the upper platform can realize three kinds of motion. To achieve ankle joint auxiliary rehabilitation, the ankle joint of patients on the upper platform makes a bionic motion. The robot uses a centre ball pin pair as the main support to simulate the motion of the ankle joint; the upper platform and the centre ball pin pair construct a mirror image of a patient's foot and ankle joint, which satisfies the human body physiological characteristics; the driving systems adopt a rigid-flexible hybrid structure; and the dorsiflexion/plantar flexion motion and the varus/valgus motion are decoupled. These structural features can avoid secondary damage to the patient. The rehabilitation process is considered, and energy consumption of the robot is studied. An experimental prototype demonstrates that the robot can simulate the motion of the human foot.
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