Design and evaluation of the gait rehabilitation robot LOPES

The goal of the work presented in this thesis was to realize a robotic device that is able provide suitable gait training to stroke patients.\ud It is believed that motor training in general, but specifically for stroke patients should be intensive and task-specific in order to reach optimal outcome. Meanwhile, the training of severe stroke patients has proven to be physically very demanding to therapists. For this reason it is believed that robotic aids can be useful alternative for physical therapists to provide gait training. In this research we supposed a training setting in which a therapist is in control of the training, while the robot carries out the physical labor in guiding, assisting and correcting the patient

REMARKS BY SECRETARY OF AGRICULTURE

Agricultural and Food Policy,

REMARKS BY SECRETARY OF AGRICULTURE

Agricultural and Food Policy,

Mission of Mary Cooperative: Community Engagement Project

Mission of Mary Cooperative consists of 6 urban farming plots in the Dayton area. It runs a community supported agriculture program that provides access to fresh produce to people living in the food desert of Dayton. The organization focuses on fostering experiential learning, engaging the community in processes of agriculture and food production, and installing gardens in backyards to allow people to grow their own food.https://ecommons.udayton.edu/roesch_symposium_content/1026/thumbnail.jp

Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependency

Increased coupling between critical infrastructure networks, such as power and communication systems, will have important implications for the reliability and security of these systems. To understand the effects of power-communication coupling, several have studied interdependent network models and reported that increased coupling can increase system vulnerability. However, these results come from models that have substantially different mechanisms of cascading, relative to those found in actual power and communication networks. This paper reports on two sets of experiments that compare the network vulnerability implications resulting from simple topological models and models that more accurately capture the dynamics of cascading in power systems. First, we compare a simple model of topological contagion to a model of cascading in power systems and find that the power grid shows a much higher level of vulnerability, relative to the contagion model. Second, we compare a model of topological cascades in coupled networks to three different physics-based models of power grids coupled to communication networks. Again, the more accurate models suggest very different conclusions. In all but the most extreme case, the physics-based power grid models indicate that increased power-communication coupling decreases vulnerability. This is opposite from what one would conclude from the coupled topological model, in which zero coupling is optimal. Finally, an extreme case in which communication failures immediately cause grid failures, suggests that if systems are poorly designed, increased coupling can be harmful. Together these results suggest design strategies for reducing the risk of cascades in interdependent infrastructure systems

Centroidal Momentum Analysis for Defining a Stability Index for Human-Exoskeleton Interactive Walking : Perturbation Detection in Human Gait

Recently, exoskeletons have been in the spotlight as many studies demonstrated the effectiveness of the exoskeletons as a means that enables to not only resolve long-standing issues such as increase of societal burden for the care of ageing populations but also augments productivity in several fields, such as rehabilitation and industrial fields. In particular, lower limb exoskeletons have attracted the medical field, especially related to the ageing society due to its impact on augmentation and recovery of walking capability which is one of the core determinants of independent daily living. For practical use of the lower limb exoskeletons in real environments, however, there are still several issues to be resolved. One of them is how to manage balance of human walking supported by the exoskeleton, in other words, how to monitor walking stability of a system combined with human and exoskeleton and maintain (or recover) the system balance when the user meets unpredicted disturbances, and thus to avoid falls. The former is a rationale of the study and this paper deals with a ‘stability index’, referred to as a kind of measure to monitor the actual (in)stability state during walking. The proposed stability index is based on the Centroidal Momentum (CM) that consists of linear and angular momenta at the Center of Mass (CoM). CM is a fundamental parameter used to describe physical motion of a system in classical mechanics, and it has been studied widely in biomechanics and bipedal robot fields over the last decade as it, specifically angular momentum-based analysis, offers important clues on how humans maintain balance during walking as well as facilitates postural balance control of humanoid robots in standing. As an extension of this context, in our previous work, we analyzed CM behavior during human walking under perturbations, specifically lateral perturbations applied to the pelvis. As a continuation of the study, in this paper, we examine whether CM could be used as the stability index to detect the perturbations as well as an initial loss of balance. In other words, a perturbation detection method on the basis of calculation of CM while waking is presented. In the method, variation of CM patterns between unperturbed and perturbed walking plays a crucial role in detecting perturbations. The method has been evaluated with experimental data of human walking and results show that the method is capable of detecting moderate and strong perturbations determined by combination of diverse durations and magnitudes of disturbance force. Average detection time obtained was about 334 msec. This study was carried out in the context of the EU FP7 project BALANCE that aims at supporting the function of maintaining postural balance directly through a leg exoskeleton. For this purpose CM-based stability index to be developed and related findings will be extended to the exoskeleton cooperating with a human and assessed on performance inEuropean Commission FP

Design and Evaluation of the LOPES Exoskeleton Robot for Interactive Gait Rehabilitation

This paper introduces a newly developed gait rehabilitation device. The device, called LOPES, combines a freely translatable and 2-D-actuated pelvis segment with a leg exoskeleton containing three actuated rotational joints: two at the hip and one at the knee. The joints are impedance controlled to allow bidirectional mechanical interaction between the robot and the training subject. Evaluation measurements show that the device allows both a "pa- tient-in-charge" and "robot-in-charge" mode, in which the robot is controlled either to follow or to guide a patient, respectively. Electromyography (EMG) measurements (one subject) on eight important leg muscles, show that free walking in the device strongly resembles free treadmill walking; an indication that the device can offer task-specific gait training. The possibilities and limitations to using the device as gait measurement tool are also shown at the moment position measurements are not accurate enough for inverse-dynamical gait analysis

Developing systems for high-throughput screening of infectious diseases using zebrafish

Infectious diseases are everywhere around us, and we need to keep improving our knowledge about our defence mechanisms and the evasion strategies of the pathogens. The work in this thesis describes multiple techniques that can contribute to fast screening methods in order to come up with new strategies against infectious diseases. The use of automated micro-injectors in combination with large flow cytometers and automated microscopy has shown added value (chapters 2, 3 & 4) for research questions about (opportunistic) pathogens. The collaboration between scientists of different research areas has proved to be very successful in the development of an easy to use analysis platform for the analysis of RNAseq data (chapter 5). This has led to very detailed description of host molecular expression patterns following infection by these pathogens. This could be used to gain more insight in how biomaterials behave in a host environment in the presence or absence of infection (chapter 6). All together this has led this to a variety of research methods that can be used for studies of infections caused by many bacteria such as S. epidermidis and M. marinum described in this thesis, but, also by other microbes, such as fungi. zebrafish, Staphylococcus-epidermidis, Mycobacterium-marinum, high-throughput,screening, method-development, transcriptome-analysis, molecular-cell-biology, immunology, host-pathogen-interaction; disease-modelsThis research forms part of the Project P5.03 IBIZA of the research program of the BioMedical Materials institute, co-funded by the Dutch Ministry of Economic AffairsAnimal science