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.

Abstract
The Vital Responder project aims at exploring the synergies between wearable technologies, scattered sensor network, intelligent building technology and precise localization services to provide secure, reliable and effective first-response systems in emergency scenarios. One of the components required in this technological setting is the ability to monitor biosignals from first responders in the field. In this paper we present a mobile monitoring system called DroidJacket to address the Vital Responder requirements. DroidJacket uses a Android-based smartphone as a base station for vital signs acquired with the Vital Jacket® garment, enabling visualization and simple real time processing. © 2011 AISTI.

Abstract
In this paper, a wearable medical device for Electrocardiogram (ECG) and blood pressure monitoring is presented. Its basis is a validated and certified existent medical device. This device was evolved in order to allow new physiological signal monitoring and real time assessment of blood pressure levels by adding a photoplethismography (PPG) probe and the incorporation of new algorithms in an online interface. The device presents accuracies of 94.6% for systolic blood pressure and 92.3% for systolic blood pressure when compared with reference values obtained from a commercial electronic Sphygmomanometer. © 2011 AISTI.

Abstract
The Vital Jacket® (VJ) is a wearable vital signs monitoring system that joins textiles with microelectronics. After several years of development within the university lab, it has been licensed to a start-up company. Its evolutions have focused on cardiology and sports and scaled down from a jacket to a single T-shirt. The VJ manufacturing process has recently been certified to comply with the standards ISO9001 and ISO13485 and the cardiology version was approved as a Medical Device for the European market compliant with the MDD directive 42/93/CE, holding the CE1011 mark. The authors intend to wear VJs during the days of the congress to demonstrate its usefulness in first hand and will exemplify the different scenarios of use of this innovative wearable intelligent garment.