ICT in healthy ageing
Healthcare systems need to continuously incorporate new features to cater for the increasing needs of medical applications, particularly in challenging domains as Healthy Ageing. Darwin has the objective to develop architectures, methods and tools for optimizing the evolvability of the Philips MRI scanner. This will result in a faster time to market for product iterations whilst maximizing technology reuse.
A consortium of industrial and academic partners has been set up to carry out the Darwin project with the Embedded Systems Institute (ESI) having the Project Management responsibility. The partners are Philips Healthcare - MR division (Carrying Industrial Partner), Philips Research, Delft University of Technology(TUD), Eindhoven University of Technology (TUE), University of Groningen (RUG), University of Twente (UT), and the Vrije Universiteit Amsterdam (VU). For the majority of their project time, the researchers are co-located at the ESI facilities in Eindhoven and during key experimental phases of the project at the Philips Healthcare facilities in Best. The project is partly funded by the Dutch Government (Bsik program).
prof. dr. ir. P. (Paris) Avgeriou, prof. dr. ir. M. (Marco) Aiello
The importance of E-Government for the highly evolved and technology-based societies of today is apparent. The aim of SAS-LEG is to provide methods for designing e-government systems that allow for adaptability and customization to different municipalities across the Netherlands. The project is using a case from the Healthcare domain: the WMO law (Wet Maatschappelijke Ondersteuning) and particular scenarios as providing wheel chairs to citizens. Senior citizens are frequently in need of health-related government services and the government (local or national) needs to become more effective in serving them. In this project we concentrate on discovering new ways and structuring new sets of tenets to abide by for developing software systems that will be compatible with the open world assumption and thus able to perform even in the most competitive real-life environments to serve the society.
Development of a library of building blocks for functional simulation (task within
the High Performance Computing pillar of the Human Brain Project)
prof. dr. N. (Nicolai) Petkov
The work will start with developing appropriate data structures that correspond to the anatomical structure of the brain. Computational models of various types of neuron in the different parts of the visual system (such as the retina, LGN, V1/V2, V4, MT/V5, MSTI, IT) will be implemented in computer
programs for the simulation of the function of that part of the brain. In the course of this work, we will improve existing methods which often are too simplistic and may not be sufficient for thorough understanding of the brain. For instance, the Gabor function model of the receptive field
properties of simple cells is now so widely accepted and applied that alternative approaches that may have advantages in modelling non-linearity and feed-back are not considered. Modelling feed-back and interaction between different cortical areas in their temporal development will be an important aspect of the envisaged work. The data structures and models to be developed will comply with anatomical facts, such as the disproportional representation of the centre and the periphery of the visual field. Furthermore, the layer structure of the cortex will be taken into account.
The simulation blocks that will be created will allow to simulate the function of individual neurons, groups of neurons, cortical columns or areas, as well as of interconnections between them. This multi-scale resolution approach will be followed also in the temporal domain, enabling the simulation of individual spikes, spike bursts of single neurons and groups of neurons, as well as the average activity over relevant periods of time.
An important aspect to be explored, modelled and simulated is the meaning of collective activation of many neurons, possibly distributed across different areas and active at different times. For instance, current models of, say V1, V2 and V4, neurons would act as feature detectors but do not give an
answer to the question how the collective activation of such neurons gives rise to the perception of a specific object, how it is memorized and how these memories are used later to recognize objects. This aspect might be closely related to memory.
The methods and techniques developed for the visual system will later be applied to other parts of the brain.
Balance maintenance in the elderly via serious gaming
prof. dr. JBTM (Jos) Roerdink
In the context of Healthy Ageing there is a growing need for improving assistance to elderly people in training them to prevent fall incidents. Existing therapies are considered as boring by both patients and therapists. Game technology can play a positive role here. Goal of this project is to realize a tool that (i) motivates elderly people to exercise is an optimal way; (ii) is challenging; (iii) gives direct feedback; and (iv) provides monitoring that can be used by physiotherapists and doctors.
Various ICT techniques play a role here. Graphical techniques are required to develop and implement the game; 3D computer vision techniques are needed to accurately follow the patient; processing and interactive visualization helps to get insight in the large amounts of data that are generated during monitoring.
This is a collaboration of Game Academy (Leeuwarden), the department of Movement Science (RUG), I2Care (RUG), and various other partners, such as Zorginnovatieforum (ZIF). Also, health insurance companies are interested.
This project is carried out within the Center of Research Excellence (CoRE) SPRINT (Smart mobility devices with improved Patient pRosthesis INTeraction – New Medical Devices for Healthy Ageing), clinical/scientific leader: Prof.dr. K. Postema (UMCG), technical/scientific leader: Prof.dr.ir. G.J. Verkerke (UMCG/UT).
|Laatst gewijzigd:||04 april 2018 10:55|