Details of Grant 

EPSRC Reference:	GR/S82190/01
Title:	Collaborative Immersive Visualization Techniques for the Interpretation of Cardiovascular Function in Critical Care Medicine
Principal Investigator:	Chapman, Professor P
Other Investigators:	Dark, Professor P
Researcher Co-Investigators:	Dr N Aydin Dr J Purdy
Project Partners:
Department:	Computer Science
Organisation:	University of Hull
Scheme:	First Grant Scheme Pre-FEC
Starts:	10 May 2004	Ends:	09 May 2006	Value (£):	107,945
EPSRC Research Topic Classifications:	Image & Vision Computing Vision & Senses - ICT appl.
EPSRC Industrial Sector Classifications:	Healthcare Creative Industries
Related Grants:
Panel History:
Summary on Grant Application Form
Describe the proposed research using (about 200) words geared to the non-specialist reader.By combining experts in visualization, signal processing and critical care medicine, we intend to use computer graphics and virtual reality technologies (provided by the new Hull Immersive Visualization Environment Centre (HIVE)) in order to systemically uncover any interaction between time, space and pulse waveform morphologies during the evolution and correction of acute blood loss. We will use our unique archived digital dataset of high fidelity blood pressure and flow waveforms recorded along the arterial tree in order to achieve this objective.The majority of this project's time and resources will focus on developing new and extending existing visualization and interaction techniques for the visualization of the multidimensional datasets within an immersive virtual environment (IVR). IVR visualizations (instead of 'PC desktop' visualizations) have in recent years proved to be extremely effective at maximising the visual bandwidth to the brain by more fully engaging the human senses.The immersive collaborative visualization system developed will enable experts in our research team the ability to be physically immersed and surrounded by graphical representations of complex multidimensional medical data. Subsequent insight and understanding into the interaction between time and space in terms of blood pressure, flow waveforms and ECG data will be important for understanding how the cardiovascular system responds to sudden changes in state, and how therapy aimed at supporting cardiovascular function should be directed.
Key Findings
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Potential use in non-academic contexts
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Further Information:
Organisation Website:	http://www.hull.ac.uk