The project aims at developing a new electrical impedance tomography (EIT) device for medical use. This device, called ReMEIT, should enable 3D absolute conductivity image reconstruction. To achieve this goal the project intends to capture the exact positions of the measuring electrodes and the exact thoracic shape using an optical shape capture device. These are absolutely novel approaches in EIT imaging that, if successful, could represent an immense progress in EIT research and a big step towards reliable clinical use of this technology. The project partners not only plan to develop the device but they also propose a strategy for its validation under invivo conditions. At first, healthy volunteers with no history of lung disease will be examined by ReMEIT and, later, the EIT device will be applied in critically ill patients suffering from various pulmonary diseases. In the former case, reference data will be obtained by magnetic resonance imaging (MRI), in the latter one, routine chest X-ray, computed tomography (CT)and MRI data will be utilised.
This research network would bring together key research groups that are in the vanguard of developing novel technologies and algorithms for spectrally efficient generation wireless networks in the UK and India.
The fundamental challenges for signal processing are: how best to sense; how to distribute the processing and communication of the data within the network to maximize performance and minimize cost; how to analyze it to extract the salient information.
This research is carried out under the Unversity Defence Research Collaboration (UDRC) funded by the MOD and EPSRC. Edinburgh Consortium (University of Edinburgh and Heriot-Watt University) are working together to enhance and build upon existing sensor technologies in Defence. The research group comprises of 9 academic staff, 8 postdoctoral research associates, and 6 PhD students across both Universities. Work will investigate the processing of multi-sensor systems ranging from efficient sampling, through distributed data processing and fusion, to efficient implementations. Underpinning all this work will be the investigation of the issues relating to implementing complex algorithms on small, lighter and lower power computing platforms. All major sensing domains will be covered; Radar/radio frequency, Sonar/acoustics, and electro-optics/infrared - to demonstrate the performance of the innovations developed.
The aim of this Initial Training Network is to train a new generation of interdisciplinary researchers in sparse representations and compressed sensing, contributing to Europe’s leading role in scientific innovation.
Because of the ageing population, the number of people with dementia will increase dramatically in the next years. Alzheimer's disease is the most common cause of dementia and it is particularly difficult to diagnose. We need better ways to detect and monitor the changes that Alzheimer's disease causes in the brain. To achieve this, we will consider the electroencephalogram (EEG), an affordable piece of equipment that can be used outside hospitals to measure brain activity safely at several locations over the scalp (called "channels").
We will create new signal processing tools to analyse EEG brain networks based on tensor factorisations to inspect how the components of brain activity networks change with time.
The proposed work in this EPSRC Fellowship is aimed at providing radical new solutions to this fundamental and far reaching challenge. A key pillar of the proposed work is the extension of the RF spectrum to include the infrared as well as the visible light spectra. The recent advancements in light emitting diode (LED) device technology now seems to let the vision of using light for high speed wireless communications become a reality.
Signal Processing is fundamental to the capability of all modern sensor weapon systems and the Defence Technology Strategy identified the development and application of signal processing techniques as high priority technical challenges within the MOD research agenda.
The UDRC is a leading partnership between industry, defence and is academia led and focuses on sensor signal processing for defence.
Running from October 2012 to September 2016, UP-VLC is an ambitious EPSRC-funded £4.6 million Programme Grant which will explore the transformative technology of communications in an imaginative and foresighted way.