Abstract
The integration in a computerized system of multimedia information used in a neurophysiology department is presented. Special attention is given to biological signal integration in the system due to its difficulty and absence of standard interface with acquisition equipment.

Abstract
We describe four patients with complex partial seizures and cystic dilatation of one or both occipital horns. The onset of epilepsy was in early infancy in the four cases, with simple and complex partial seizures with secondary generalization; two patients have visual symptomatology at the beginning of seizures. Three patients have an important mental retardation, two of them have visual field defects and one patient has a hemioatrophy. The four patients were studied with CT scan, MRI and several scalp EEG recordings with computerized signal processing methods and simultaneous cognitive studies. None of them had cerebral angiography. These patients are similar to Remillard et al. series of 8 patients with temporal lobe epilepsy and associated visual field defects and enlargement of the occipital horn. The perinatal occlusion of the posterior cerebral artery was the considered etiology which was afterwards questioned by Roger et al. in their series of 500 CT scans of epileptic patients. Our results suggest that epileptogenic areas exceed the lesions seen on neuroradiological imaging. This is of the outmost importance when considering the hypothesis of surgery to control seizures in these patients.

Abstract
The AA describe a computerized test system to study the influence of subclinical EEG discharges on cognitive functions. In 25 patients studied with this method we found transitory cognitive impairment in 9 patients, with prolonged reaction time and increased number of errors.

Abstract
This paper presents a study of the heterogeneity and interoperability of Information Systems (IS) that exist in Northern Portuguese Hospitals. Structured interviews to each Hospital CIO were performed regarding their opinions, existing IS and integrations. The number of IS is exponentially related of the dimension of the hospital (number of beds), and the relation between the number of IS and the number of integrations follows an exponential model. The ratio between the number of effective integrations and the total possibilities is very low and follows a quadratic model, indicating that the energy spent grows rapidly with the increase of IS number and with poor results. Admission/discharge/transfer and drug related IS are installed more often, and therefore are better candidates for a regional network. Despite numerous efforts to develop standards, it seems that there is a large gap between their development and their applicability. Interoperability inside organizations is a crucial first step, looking for the goal of achieving regional and national EHR. Standardization is vital considering the number of IS and multitude of organizations involved.

Abstract
This paper presents a detailed architecture model for the Brain Imaging Network Grid (BING) that will be the main IT infrastructure of the recently created Portuguese Brain Imaging Consortium. The proposed architecture follows a service oriented philosophy and is designed to empower medical data sharing and processing, specifically brain images. Allowing the use of computationally intensive methods like feature extraction and retrieving of structured information, this system will take advantage of Grid computing new paradigm. In BING context, Grid infrastructure is the right option to provide the ability to seamless aggregate distributed computational power, extensive storage resources and high-bandwidth networking. The goal is to develop a system that simultaneously can provide basic data services, allow collaborative research between geographically distributed partners (e.g. analysis processes, workflows) and make use of the Grid computational power.

Abstract
Recent advances in computer hardware and signal processing assert that controlling certain functions by thoughts may represent a landmark in the way we interact with many output devices. This paper exploits the possibility of achieving a communication channel between the brain and a mobile robot through the modulation of the electroencephalogram (EEG) signal during motor imagery tasks. A major concern was directed towards designing a generalized and multi-purpose framework that supports rapid prototyping of various experimental strategies and operating modes. Preliminary results of brain-state estimation using EEG signals recorded during a self-paced left/right hand movement task are also presented. The user successfully learned to operate the system and how to better perform the motor-related tasks based on outcomes produced by its mental focus.