Sybar, a human motion analysis system for rehabilition medicine

The Sybar project is a designer's Ph.D project that deals with the development of a motion-analysis system for rehabilitation medicine, at the VU Hospital in Amsterdam. Human motion can be analyzed by biomechanical measurement systems. There are a number of different methods to generate several types of data on human motion. Biomechanical analysis of patients with motion disorders can potentially give valuable information to physicians. However, existing biomechanical measurement systems that have been introduced in a clinical setting have had only limited success, because they have been designed for other purposes. The goal of the Sybar project is to build a biomechanical analysis system specific for the clinical setting. We take the clinically accepted way of human observation as a starting point. Instead of providing large amounts of measurement data separately, the existing image of the patient is enhanced with additional information. We believe that by showing a video of a patient in combination with graphics measurement results, it becomes much easier to directly relate the data to the actions of the subject under investigation. Sybar is developed using object oriented methods. In particular, the Object Modeling Technique (OMT) is used. From a softwareengineering point of view, interesting aspects are: • a clear system specification can not be determined without some form of rapid prototyping. • the environment of the system is complex, and dynamic. • the requirements for digital video and image processing are on the edge of what is technically feasible

Sufficient conditions for BIBO robust stabilization : given by the gap metric

A relation between coprlme fractions and the gap metric is presented. Using this result we provide some sufficient conditions for BIBO robust stabilization for a very wide class of systems. These conditions allow the plant and compensator to be disturbed simultaneously. Keywords: Robust stabllization; Gap metric; Coprime fraction

Digital linear control theory applied to automatic stepsize control in electrical circuit simulation

Adaptive stepsize control is used to control the local errors of the numerical solution. For optimization purposes smoother stepsize controllers are wanted, such that the errors and stepsizes also behave smoothly. We consider approaches from digital linear control theory applied to multistep BDF-methods

Exact controllability of multiplex networks

Date of Acceptance: 11/09/2014Peer reviewedPublisher PD