Learn More
Grid services offer a number of advantages in the field of medical imaging. Many image processing algorithms are computationally intensive and require high specification hardware or take a long time to run. The prospect of being able to use dedicated clusters of high end workstations on a remote network, or indeed several networks, with only a few clicks of(More)
Medical image processing involves a large amount of data that can be difficult to store and manage. This project uses an automated process to extract clinical and technical information from image file headers which is used to construct a database of medical images. A web based search and retrieval interface is used to present the data to the user with(More)
The human hand uses a combination of feedforward and feedback mechanisms to accomplish high degree of freedom in grasp control efficiently. In this study, we used a synergy-based control model to determine the effect of sensory feedback on kinematic synergies in the grasping hand. Ten subjects performed two types of grasps: one that included feedback (real)(More)
Grid services promise the power of the supercomputer to the average desktop user. However, as with all forms of distributed computing, they rely on the sending and receiving of messages between components for the system to work. The rapid rise in attacks by malicious users has meant that firewalls have become a way of life for any machine permanently(More)
Kinematic and neuromuscular synergies have been found in numerous aspects of human motion. This study aims to determine how effectively kinematic synergies in bilateral upper arm movements can be used to replicate complex activities of daily living (ADL) tasks using a sparse optimization algorithm. Ten right-handed subjects executed 18 rapid and 11(More)
Kinematic synergies in human hand movements have shown promising applications in dexterous control of robotic and prosthetic hands. We and others have previously derived kinematic synergies from human hand grasping movements using a widely used linear dimensionality reduction method, Principal Component Analysis (PCA). As the human biomechanical system is(More)
Traditionally, repetitive practice of a task is used to learn a new skill, exhibiting as immediately improved performance. Research suggests, however, that a more experience-based rather than exposure-based training protocol may allow for better transference of the skill to related tasks. In synergy-based motor control theory, fundamental motor skills, such(More)
The complex prevalence of Parkinson's disease (PD) symptoms has pushed research towards assessment tools that can assist in their quantification. There remains a need for a system capable of measuring symptoms during various tasks at multiple motor levels (kinematics and electromyography). In this paper, we present the development and initial validation of(More)