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Zha Q, Xu Z, Yang H, Zhang G, Cai X, Zhang W, Liu Y, Shen X, Li Y. Development of a robot-assisted reduction and rehabilitation system for distal radius fractures. Front Bioeng Biotechnol 2024; 11:1342229. [PMID: 38268941 PMCID: PMC10805860 DOI: 10.3389/fbioe.2023.1342229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 12/26/2023] [Indexed: 01/26/2024] Open
Abstract
Background: Closed reduction is the preferred treatment for distal radius fractures. However, it requires a multiple experienced medical staff and manually maintaining stable traction is difficult. Additionally, doctors cannot assess the reduction status of a fracture in real-time through radiographic images, which may lead to improper reduction. Furthermore, post-fracture complications such as joint adhesion, stiffness, and impaired mobility pose a challenge for the doctors. So it is necessary to optimize the treatment process of the distal radius fracture through technological means. Methods: A robot-assisted closed reduction and rehabilitation system, which could assist doctors throughout the entire process of reduction, fixation, and rehabilitation of distal radius fractures, was developed. A mechanical system, composed of two grippers and a cooperative robotic arm, was used to grasp and tract the affected limb. A doctor controlled the robot through a joystick console and Windows application program. A biplane radiographic device was integrated into the system, which is not only convenient for doctors to view radiographic images of the fracture at any time but also for them to select the rotation axis of the wrist on the images before reduction and rehabilitation. Important information including the anteroposterior and lateral radiographic data and force and position parameters during the reduction and rehabilitation process were displayed on a graphic user interface. Results: Experimental results showed that the proposed robotic system can meet the technical requirements for the reduction and rehabilitation of distal radius fractures, all the rotation angles could be achieved, a maximum force of more than 50 N could be achieved in all traction directions, and the error in selecting the wrist joint rotation axis line using radiographic images was less than 5 mm. Conclusion: The developed robot-assisted system was shown to be suitable for closed reduction and rehabilitation of distal radius fractures, contributing a potential improvement in the quality of the procedures.
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Affiliation(s)
- Qing Zha
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, China
| | - Zeou Xu
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, China
| | - Hongbo Yang
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, China
| | - Guodong Zhang
- Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, China
| | - Xuefeng Cai
- Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, China
| | - Wanlin Zhang
- Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, China
| | - Yujiang Liu
- Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, China
| | - Xiaofeng Shen
- Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, China
| | - Yuwei Li
- Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, China
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Fan X, Zhu Q, Tu P, Joskowicz L, Chen X. A review of advances in image-guided orthopedic surgery. Phys Med Biol 2023; 68. [PMID: 36595258 DOI: 10.1088/1361-6560/acaae9] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 12/12/2022] [Indexed: 12/15/2022]
Abstract
Orthopedic surgery remains technically demanding due to the complex anatomical structures and cumbersome surgical procedures. The introduction of image-guided orthopedic surgery (IGOS) has significantly decreased the surgical risk and improved the operation results. This review focuses on the application of recent advances in artificial intelligence (AI), deep learning (DL), augmented reality (AR) and robotics in image-guided spine surgery, joint arthroplasty, fracture reduction and bone tumor resection. For the pre-operative stage, key technologies of AI and DL based medical image segmentation, 3D visualization and surgical planning procedures are systematically reviewed. For the intra-operative stage, the development of novel image registration, surgical tool calibration and real-time navigation are reviewed. Furthermore, the combination of the surgical navigation system with AR and robotic technology is also discussed. Finally, the current issues and prospects of the IGOS system are discussed, with the goal of establishing a reference and providing guidance for surgeons, engineers, and researchers involved in the research and development of this area.
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Affiliation(s)
- Xingqi Fan
- Institute of Biomedical Manufacturing and Life Quality Engineering, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Qiyang Zhu
- Institute of Biomedical Manufacturing and Life Quality Engineering, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Puxun Tu
- Institute of Biomedical Manufacturing and Life Quality Engineering, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Leo Joskowicz
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Xiaojun Chen
- Institute of Biomedical Manufacturing and Life Quality Engineering, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China.,Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, People's Republic of China
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Tan Y, Fu Z, Duan L, Cui R, Wu M, Chen J, Guo Y, Li J, Guo X, Sun H. Hill-based musculoskeletal model for a fracture reduction robot. Int J Med Robot 2021; 17:e2252. [PMID: 33689227 DOI: 10.1002/rcs.2252] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 02/28/2021] [Accepted: 02/28/2021] [Indexed: 11/11/2022]
Abstract
BACKGROUND The introduction of fracture reduction robot can solve the problem of large reduction forces during fracture reduction surgeries and the need to collect multiple medical images. However, because its safety has not been certified, there are few academic achievements on this type of robot. To calculate the safety factor during its operation, a musculoskeletal model needs to be established to study the constraints of muscles on the robot. The existing academic achievements of musculoskeletal modelling are mainly for application such as rehabilitation treatment and collision in car accidents. METHODS A musculoskeletal model applied to the fracture reduction robot is proposed in this paper. First, by comparing the characteristics of mainstream muscle models and combining the biological characteristics of the anesthetised muscles, the Hill model was selected as the muscle model for this study. Second, based on the motion composition of six spatial degrees of freedom, five basic fractural malposition situations are proposed. Then, a 170-cm tall male musculoskeletal model was built in Opensim. Based on this model, the muscle force curves of the above malposition situations are calculated. Finally, a similar musculoskeletal model was established in Adams, and the accuracy of its muscle force data was tested. The study is approved by the ethics committee of the Rehabilitation Hospital, National Research Center for Rehabilitation Technical Aids, Beijing, China. RESULTS The muscle force curve of Opensim and Adams model under situations of five basic malposition are compared. Most of the correlation coefficients are in the range of 0.98-0.99. The overall correlation coefficient is greater than 0.95. CONCLUSIONS The simulation results prove that this model can be used for the safety assessment of the fracture reduction robots. This model will be served as an environmental constraint to study the control of fracture reduction robot.
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Affiliation(s)
- Yinglun Tan
- School of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin, China.,Engineering Research Center of the Ministry of Education for Intelligent Rehabilitation Devices and Testing Technology, Hebei University of Technology, Tianjin, China
| | - Zhuoxin Fu
- School of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin, China.,Engineering Research Center of the Ministry of Education for Intelligent Rehabilitation Devices and Testing Technology, Hebei University of Technology, Tianjin, China
| | - Lunhui Duan
- School of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin, China.,Engineering Research Center of the Ministry of Education for Intelligent Rehabilitation Devices and Testing Technology, Hebei University of Technology, Tianjin, China
| | - Rui Cui
- School of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin, China.,Engineering Research Center of the Ministry of Education for Intelligent Rehabilitation Devices and Testing Technology, Hebei University of Technology, Tianjin, China
| | - Mengkun Wu
- School of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin, China.,Engineering Research Center of the Ministry of Education for Intelligent Rehabilitation Devices and Testing Technology, Hebei University of Technology, Tianjin, China
| | - Jianwen Chen
- National Research Center for Rehabilitation Technical Aids, Rehabilitation Hospital, Beijing, China
| | - Yue Guo
- National Research Center for Rehabilitation Technical Aids, Rehabilitation Hospital, Beijing, China
| | - Jian Li
- National Research Center for Rehabilitation Technical Aids, Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability and Key Laboratory of Neuro-Functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs, Beijing, China
| | - Xin Guo
- School of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin, China.,Engineering Research Center of the Ministry of Education for Intelligent Rehabilitation Devices and Testing Technology, Hebei University of Technology, Tianjin, China
| | - Hao Sun
- School of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin, China.,Engineering Research Center of the Ministry of Education for Intelligent Rehabilitation Devices and Testing Technology, Hebei University of Technology, Tianjin, China
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Abdi E, Kulic D, Croft E. Haptics in Teleoperated Medical Interventions: Force Measurement, Haptic Interfaces and Their Influence on User's Performance. IEEE Trans Biomed Eng 2020; 67:3438-3451. [PMID: 32305890 DOI: 10.1109/tbme.2020.2987603] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
OBJECTIVES Haptics in teleoperated medical interventions enables measurement and transfer of force information to the operator during robot-environment interaction. This paper provides an overview of the current research in this domain and guidelines for future investigations. METHODS We review current technologies in force measurement and haptic devices as well as their experimental evaluation and influence on user's performance. RESULTS Force sensing is moving away from the conventional proximal measurement methods to distal sensing and contact-less methods. Wearable devices that deliver haptic feedback on different body parts are increasingly playing an important role. Performance and accuracy improvement are the widely reported benefits of haptic feedback, while there is a debate on its effect on task completion time and exerted force. CONCLUSION With the surge of new ideas, there is a need for better and more systematic validation of the new sensing and feedback technology, through better user studies and novel methods like validated benchmarks and new taxonomies. SIGNIFICANCE This review investigates haptics from sensing to interfaces within the context of user's performance and the validation procedures to highlight salient advances. It provides guidelines to future developments and highlights the shortcomings in the field.
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Bai L, Yang J, Chen X, Sun Y, Li X. Medical Robotics in Bone Fracture Reduction Surgery: A Review. SENSORS (BASEL, SWITZERLAND) 2019; 19:E3593. [PMID: 31426577 PMCID: PMC6720500 DOI: 10.3390/s19163593] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 08/12/2019] [Accepted: 08/12/2019] [Indexed: 11/17/2022]
Abstract
Since the advantages of precise operation and effective reduction of radiation, robots have become one of the best choices for solving the defects of traditional fracture reduction surgery. This paper focuses on the application of robots in fracture reduction surgery, design of the mechanism, navigation technology, robotic control, interaction technology, and the bone-robot connection technology. Through literature review, the problems in current fracture reduction robot and its future development are discussed.
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Affiliation(s)
- Long Bai
- State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China.
| | - Jianxing Yang
- State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China
| | - Xiaohong Chen
- State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China
| | - Yuanxi Sun
- State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China
| | - Xingyu Li
- State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China
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Zhao JX, Li C, Ren H, Hao M, Zhang LC, Tang PF. Evolution and Current Applications of Robot-Assisted Fracture Reduction: A Comprehensive Review. Ann Biomed Eng 2019; 48:203-224. [DOI: 10.1007/s10439-019-02332-y] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 07/20/2019] [Indexed: 11/28/2022]
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Wang Q, Jiao W, Yu R, Johnson MT, Zhang Y. Modeling of Human Welders’ Operations in Virtual Reality Human–Robot Interaction. IEEE Robot Autom Lett 2019. [DOI: 10.1109/lra.2019.2921928] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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