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.

Abstract
Information extraction technology, as defined and developed through the U.S. DARPA Message Understanding Conferences (MUCs), has proved successful at extracting information primarily from newswire texts and in domains concerned with human activity. This paper presents an Information Extraction (IE) system, intended to extract structured information from medical reports written in Portuguese. A first evaluation is performed and the results are discussed.

Abstract
This work is about an environment in which it is possible to relate and treat sleep EEG, respiratory and cardiac data coming from different sources. Some data treatment is done on-line and full data treatment is allowed off-line. The on-line treatment includes Sleep Staging using an Artificial Neural Network (ANN). This paper will try to enhance the advantages of Object Oriented Programming in the package we developed and the consequent reliability of the system architecture.

Abstract
A biomedical digital signal format is presented. The format supports both raw and processed data, multiple epochs, several signal structures and representations and an open architecture. In order to support the format, an object oriented C language library is also presented.