A5035866142- Prosthetics and Rehabilitation Robotics
- Muscle activation and electromyography studies
- Stroke Rehabilitation and Recovery
- Manufacturing Process and Optimization
- EEG and Brain-Computer Interfaces
- Advanced Sensor and Energy Harvesting Materials
- Soft Robotics and Applications
- Dielectric materials and actuators
- Product Development and Customization
- Neuroscience and Neural Engineering
- Flexible and Reconfigurable Manufacturing Systems
- Cerebral Palsy and Movement Disorders
- Scheduling and Optimization Algorithms
- Botulinum Toxin and Related Neurological Disorders
- Robot Manipulation and Learning
- Ferroelectric and Piezoelectric Materials
- Motor Control and Adaptation
- Spinal Cord Injury Research
- Advanced Manufacturing and Logistics Optimization
- Iterative Learning Control Systems
- Robotic Mechanisms and Dynamics
- Additive Manufacturing and 3D Printing Technologies
- Diabetic Foot Ulcer Assessment and Management
- Quality Function Deployment in Product Design
- Industrial Vision Systems and Defect Detection
University of Leeds
2017-2025
Chinese University of Hong Kong, Shenzhen
2025
Binzhou Medical University
2020-2024
Binzhou University
2020-2024
Shanghai University
2024
University of Manchester
2022-2024
Third Affiliated Hospital of Sun Yat-sen University
2024
Sun Yat-sen University
2024
China-Japan Friendship Hospital
2013-2024
Peking University
2023
Metals have been used for orthopedic implants a long time due to their excellent mechanical properties. With the rapid development of additive manufacturing (AM) technology, studying customized with complex microstructures patients has become trend various bone defect repair. A superior implant should good biocompatibility and properties matching bone. To meet performance requirements implants, this paper introduces biomedical metallic materials currently applied from design manufacture,...
Musculoskeletal models have been widely used for detailed biomechanical analysis to characterise various functional impairments given their ability estimate movement variables (i.e., muscle forces and joint moments) which cannot be readily measured in vivo. Physics-based computational neuromusculoskeletal can interpret the dynamic interaction between neural drive muscles, dynamics, body kinematics kinetics. Still, such set of solutions suffers from slowness, especially complex models,...
Intervention of robotic devices in the field physical gait therapy can help providing repetitive, systematic, and economically viable training sessions. Interactive or assist-as-needed (AAN) encourages patient voluntary participation process which may aid rapid motor function recovery. In this paper, a lightweight orthosis with two actuated four passive degrees freedom (DOFs) is proposed. The DOFs were powered by pneumatic muscle actuators. An AAN paradigm based on adaptive impedance control...
This paper presents the development of a novel adaptive wearable ankle robot for treatments sprain through physical rehabilitation. The has bioinspired design, devised after careful study improvement opportunities in existing robots. Robot design is adaptable to subjects varying physiological abilities and age groups. Ankle employs lightweight but powerful pneumatic muscle actuators (PMA) which mimics skeletal muscles actuation. To address nonlinear characteristics PMA, fuzzy-based...
Robot-assisted rehabilitation offers benefits, such as repetitive, intensive, and task-specific training, compared to traditional manual manipulation performed by physiotherapists. In this paper, a robust iterative feedback tuning (IFT) technique for repetitive training control of compliant parallel ankle robot is presented. The employs four intrinsically pneumatic muscle actuators that mimic skeletal muscles ankle's motion training. A multiple degrees-of-freedom normalized IFT proposed...
Pneumatic artificial muscles (PAMs) have been widely used in actuation of medical devices due to their intrinsic compliance and high power-to-weight ratio features. However, the nonlinearity time-varying nature PAMs make it challenging maintain high-performance tracking control. In this article, a high-order pseudopartial derivative-based model-free adaptive iterative learning controller (HOPPD-MFAILC) is proposed achieve fast convergence speed. The dynamics PAM converted into dynamic...
This paper proposes a new adaptive patient-cooperative control strategy for improving the effectiveness and safety of robot-assisted ankle rehabilitation. has been developed implemented on compliant rehabilitation robot (CARR). The CARR is actuated by four Festo Fluidic muscles located to calf in parallel, three rotational degrees freedom. scheme consists position controller joint space high-level admittance task space. adaptively modifies predefined trajectory based real-time measurement,...
Assistive devices aim to mitigate the effects of physical disability by aiding users move their limbs or rehabilitating through therapy. These are commonly embodied robotic exoskeletal systems that still in development and use electromyographic (EMG) signal determine user intent. Not much focus has been placed on developing a neuromuscular interface (NI) solely relies EMG signal, does not require modifications end user's state enhance (such as adding weights). This paper presents flexible,...