A5034700384- Shoulder Injury and Treatment
- Muscle activation and electromyography studies
- Shoulder and Clavicle Injuries
- Stroke Rehabilitation and Recovery
- Nerve Injury and Rehabilitation
- Motor Control and Adaptation
- EEG and Brain-Computer Interfaces
- Spinal Cord Injury Research
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Musculoskeletal pain and rehabilitation
- Neuroscience and Neural Engineering
- Prosthetics and Rehabilitation Robotics
- Mechanics and Biomechanics Studies
- Soft Robotics and Applications
- Sports injuries and prevention
- Cardiovascular and exercise physiology
- Orthopedic Surgery and Rehabilitation
- Balance, Gait, and Falls Prevention
- Respiratory Support and Mechanisms
- Trauma Management and Diagnosis
- Sports Performance and Training
- Advanced Image Fusion Techniques
- Photoacoustic and Ultrasonic Imaging
- Cerebral Palsy and Movement Disorders
- Occupational Health and Performance
University of Aberdeen
2020-2025
Keele University
2013-2020
University of Groningen
2018
Case Western Reserve University
2005-2011
Aberystwyth University
2010-2011
Delft University of Technology
2003-2005
Cleveland FES Center
2005
University of Strathclyde
1999-2004
The Delft Shoulder and Elbow Model (DSEM), a musculoskeletal model of the shoulder elbow has been extensively developed since its introduction in 1994. Extensions cover both structures anatomical data focusing on addition an part muscle architecture parameters. was also extended with new inverse-dynamics optimization cost function combined inverse-forward-dynamics models. This study is update developments over last decade including qualitative validation different simulation architectures...
Transhumeral amputation has a significant effect on person's independence and quality of life. Myoelectric prostheses have the potential to restore upper limb function, however their use is currently limited due lack intuitive natural control multiple degrees freedom. The goal this study was evaluate novel transhumeral prosthesis controller that uses combination kinematic electromyographic (EMG) signals recorded from proximal humerus. Specifically, we trained time-delayed artificial neural...
Functional electrical stimulation (FES), the coordinated activation of multiple muscles, has been used to restore arm and hand function in people with paralysis. User interfaces for such systems typically derive commands from mechanically unrelated parts body retained volitional control, are unnatural unable simultaneously command various joints arm. Neural interface systems, based on spiking intracortical signals recorded area motor cortex, have shown ability control computer cursors,...
A functional electrical stimulation controller is presented that uses a combination of feedforward and feedback for arm control in high-level injury. The generates the muscle activations nominally required desired movements, corrects errors caused by fatigue external disturbances. an artificial neural network (ANN) which approximates inverse dynamics arm. loop includes PID series with second ANN representing nonlinear properties biomechanical interactions muscles joints. was designed tested...
Electrical stimulation is a promising technology for the restoration of arm function in paralyzed individuals. Control under electrical stimulation, however, challenging problem that requires advanced controllers and command interfaces user. A real-time model describing complex dynamics would allow user-in-the-loop type experiments where interface controller could be assessed. Real-time models previously described have not included ability to independently controlled scapula clavicle,...
Neuroprostheses can be used to restore movement of the upper limb in individuals with high-level spinal cord injury. Development and evaluation command control schemes for such devices typically require real-time, "patient-in-the-loop" experimentation. A 3-D, musculoskeletal model has been developed use a simulation environment allow testing carried out noninvasively. The provides real-time feedback human arm dynamics that displayed user virtual reality environment. 3-DOF glenohumeral joint...
Individuals with hand amputation suffer substantial loss of independence. Performance sophisticated prostheses is limited by the ability to control them. To achieve natural and simultaneous all wrist motions, we propose use real-time biomechanical simulation map between residual EMG motions intact hand. Here describe a musculoskeletal model using only extrinsic muscles determine whether performance possible. Simulation 1.3 times faster than real time, but locally unstable. Methods are...
Prosthetic devices for hand difference have advanced considerably in recent years, to the point where mechanical dexterity of a state-of-the-art prosthetic approaches that natural hand. Control options users, however, not kept pace, meaning new are used their full potential. Promising developments control technology reported literature met with limited commercial and clinical success. We previously described biomechanical model could be prosthesis control. The goal this study was evaluate...
Lightweight, safe and affordable wearable devices are needed for effective robot-assisted rehabilitation, to reduce compound pressures on hospitals social care. Despite recent developments in soft robots, many of these restrict motion, difficult wear lack quantitative assessment the moment transfer wearer. The decoupled design our device upper limb rehabilitation successfully delivers full range motion user 132 (SD = 13) degrees, can be attached wearer less than a minute, needs only single...
This study evaluates the accuracy of single-camera markerless motion capture (SCMoCap) using Microsoft's Azure Kinect, enhanced with inverse kinematics (IK) via OpenSim, for upper limb movement analysis. Twelve healthy adults performed ten upper-limb tasks, simultaneously recorded by OptiTrack (marker-based) and Kinect (markerless) from frontal sagittal views. Joint angles were calculated two methods: (1) direct based on body coordinate frames (2) OpenSim’s IK tool anatomical keypoints....