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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
341

Advanced techniques in first pass myocardial perfusion imaging by cardiac magnetic resonance

Maredia, Neil January 2010 (has links)
No description available.
342

An investigation of the use of Raman and fluorescence spectrocopy, coupled with multivariate statisitical analysis and computer systems, in cancer screening and diagnosis

Harris, Andrew Thomas January 2010 (has links)
No description available.
343

Measurement of adipose tissue in obese adolescents using magnetic resonance imaging

Cullingworth, Jane January 2009 (has links)
No description available.
344

The biological effects of the dyes used in sentinel node biopsy

Masannat, Yazan Adnan January 2008 (has links)
No description available.
345

Standards in clinical dual energy X-ray absorptiometry

Steel, Susan A. January 2009 (has links)
No description available.
346

Development of a decision support framework for electroencephalography signals based on an adaptive fuzzy inference neural network system

Jahankhani, Pari January 2009 (has links)
No description available.
347

Diffusion tensor imaging and tractography : An investigation of neurosurgical applications

Byrnes, Tiernan James Dermot January 2009 (has links)
No description available.
348

Polyspectra distribution estimation and its application to small data-sample classification

Shanta, Shahnoor January 2008 (has links)
No description available.
349

The use of image registration to aid identification of abdominal adhesions

Wright, Benjamin P. January 2010 (has links)
No description available.
350

Hybrid modelling and decision support for ventilator management in intensive care units

Wang, Ang January 2008 (has links)
Mechanical ventilation is a life-saving therapy for patient treatments in Intensive Care Units (ICUs). The management of mechanical ventilation is a very challenging task. It has long been recognised that a computer-based bedside decision support system is r desirable for optimal ventilator management in ICUs. In this thesis, a closed-loop adaptive model-based ventilator management decision support system is developed. A previously developed ventilated patient mathematical model is further improved and extended with respect to the model parameter estimation and the simulation of the patients as their clinical states evolve. A hybrid modelling strategy is implemented by combining mathematical modelling and data-driven modelling techniques. With the availability of rich data in ICU and the improvements made in the model parameter estimation, the model is able to represent patient state evolution and provide accurate blood gas and tidal volume predictions. An adaptive decision support system is, thereafter developed based on the patient model using an optimisation approach and the system is evaluated via a series of closed-loop simulations. Results show that the srstem can generate good ventilator setting advice subject to the patient state changes and competing ventilator management targets. In addition, a future ventilator management tool, named Electrical Impedance Tomography CElT), is investigated in this thesis in relation to its data processing and feature extraction. The integration of EIT into the current decision support system represents a very promising research direction for the optimal ventilator management decision support.

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