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Imaging diagnosis is increasingly complemented by other types of diagnosis based on different biophysical elements such as: the combined use of different imaging techniques (CAT, MRI, PET, DTI, etc .), the prior treatment of the image (atlas, advanced segmenting and detection systems morphological co-registering etc .), very different types of signals (ECG, EEG, EMG, Respiration, etc .), as well as morphological and functional models derived from tissue and organ modelling .
The combination of these components would allow a more efficient, complete and rigorous diagnosis .
The objective of this line is therefore related to the combined analysis of all this information, promoting im- provements in diagnosis systems, elaborating tools for aiding in making clinical decisions and encouraging pre- and inter-operatory planning systems, as well as simulation and control tools in virtual surgery .
This line is in turn complemented with others, such as Nanodiagnosis and Prostheses and Implants lines, in which similar or complementary techniques are used .
BI 2. INTELLIGENT DEVICES AND SYSTEMS:
• • •
Creation of systems to monitor and control patients (sensoring, controlling and robotic systems) Software applications to improve systems for patient diagnosis . E-health and M-health Systems .
The introduction of more portable and efficient medical devices, affording a greater deal of autonomy from the clinical specialist (incorporating a certain degree of intelligence), would significantly increase the life quality . These devices include remote monitoring systems for high-risk patients, in conjunction with au- tomatic telecommunication systems, automated drug delivery systems, even in a closed loop, controllably adaptable implants, among many other examples .
This implantation would entail a greater independence of the patients which in turn would reduce the burden on healthcare personnel . Additionally, research results coming from this line would offer more tho- rough and continuous control of the patients, since the evolution of their health condition could be tracked and different variables could be simultaneously monitored .
In these years a new line has emerged within this research area and it is related to E-health systems, which is a term used for healthcare supported by electronic processes and communication as well as m-health which is supported by mobile phones and other portable devices . CIBER-BBN has included this line to its current Research Programme since research of several groups point to this area .
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