Abstract
This paper describes the design and implementation of a PKI-based eHealth authentication architecture. This architecture was developed to authenticate eHealth Professionals accessing RTS (Rede Telematica da Saude), a regional platform for sharing clinical data among a set of affiliated health institutions. The architecture had to accommodate specific RTS requirements, namely the security of Professionals' credentials, the mobility of Professionals, and the scalability to accommodate new health institutions. The adopted solution uses short lived certificates and cross-certification agreements between RTS and eHealth institutions for authenticating Professionals accessing the RTS. These certificates carry as well the Professional's role at their home institution for role-based authorization. Trust agreements between health institutions and RTS are necessary in order to make the certificates recognized by the RTS. The implementation was based in Windows technology and as a general policy we avoided the development of specific code; instead, we used and configured available technology and services.

Abstract
Functional Magnetic Resonance Imaging (fMRI) is a promising technique to spatially identify activated areas. However, because of its limited time resolution (about one volume every 3 seconds), integration with a high temporal resolution method (Electroencephalography (EEG)) has shown to be promising. Two main artifacts rise on the EEG in this setup: The imaging artifact and the Ballistocardiogram artifact (BCG). The focus of this paper is to present a new approach for BCG removal. The most common method for its removal is based on average wave shape subtraction. This method assumes a deterministic approach to the BCG, which, as every analog biomedical signal, is not a good assumption. In this paper we present and evaluate, for the first time, a Ballistocardiogram removal adaptive algorithm based on dynamic time warping (DTW) [1]. Although for stable pulse this method can slightly distort the wave shape, we believe it can be reliable to deal with greater BCG time variations, like in the presence of arrhythmia, or during emotion stimulation.

Abstract
This paper describes the design and implementation of a PKI-based e-Health authentication architecture. This architecture was developed to authenticate e-Health Professionals accessing RTS (Rede Telematica da Saude), a regional platform for sharing clinical data among a set of affiliated health institutions. The architecture had to accommodate specific RTS requirements, namely the security of Professionals' credentials, the mobility of Professionals, and the scalability to accommodate new health institutions. The adopted solution uses short. lived certificates and cross-certification agreements between RTS and e-Health institutions for authenticating Professionals accessing the RTS. These certificates carry as well the Professional's role at their home institution for role-based authorization. Trust agreements between health institutions and RTS are necessary in order to make the certificates recognized by the RTS. As a proof of concept, a prototype was implemented with Windows technology. The presented authentication architecture is intended to be applied to other medical telematic systems.

Abstract
This paper describes the design and implementation of an e-Health authentication architecture using smartcards and a PKI. This architecture was developed to authenticate e-Health Professionals accessing the Us (Rede Telematica da Saude), a regional platform for sharing clinical data among a set of affiliated health institutions. The architecture had to accommodate specific RTS requirements, namely the security of Professionals' credentials, the mobility of Professionals, and the scalability to accommodate new health institutions. The adopted solution uses short-lived certificates and cross-certification agreements between RTS and e-Health institutions for authenticating Professionals accessing the RTS. These certificates carry as well the Professional's role at their home institution for role-based authorization. Trust agreements between e-Health institutions and RTS are necessary in older to make the certificates recognized by the RTS. As a proof of concept, a prototype was implemented with Windows technology. The presented authentication architecture is intended to be applied to other medical telematic systems.

Abstract
Newly devices allow the analysis and collection of very long-term electrocardiogram (ECG). However, associated with this devices and long-term signal, are artefacts that conduce to misleading interpretations and diagnosis. So, new developments over automatic ECG classification are needed for a reliable interpretation. The feasibility of the cardiac systems is one of the main concerns, once they are currently used as diagnosis or help systems. In this project, an artefact detection algorithm is developed, dividing the time-series in intervals of signal and artefact. The algorithm is based on the assumption that, if the analysed frame is signal, there is not an abrupt alteration over consecutive short windows. So, the time-series is divided in consecutive nonoverlapped short windows. Over these windows, it is calculated the time-series standard deviation, the maximum and minimum slope. A threshold-based rule is applied, and the algorithm reveals that, in mean, it is verified a 99.29% of correctly classified signal and only 0.71% of signal erroneously classified. Over the results obtained, the algorithm seems to present good results, however it is needed its validation in a wider and representative sample with segments marked as artefact by multiple specialists.

Abstract
Technological advances in mobile phones make them appealing to support nursing care at the point of treatment, especially by combining the easy-of-use, mobility and wireless communications. Novel capabilities, such as picture capturing, enlarge the applications scope. In this work, we present the HOPE system to facilitate nursing care documentation, by leveraging on standard off-the-shelf mobile phones. The proposed system moves a substantial part of the work usually deferred and performed at desktop computers to the moment and place of care. In addition, health professionals can document the clinical cases with photos, using the mobile phone built-in camera, which is being applied in diabetic foot consultation. Basic support for wound measurement is available. The information acquired is integrated in the patient's Electronic Health Record and can be shared using the mobile devices or the workstations. The proposed system is in pilot use at two Portuguese hospitals targeting inpatient care and diabetic foot consulting.