Abstract

Abstract
In spite of the growing interest verified in the field of technology-based interventions for Stroke rehabilitation, there is still no global solution that is both successful and suitable for a widespread use [1,2]. In this article, we present a novel tele-rehabilitation tool designed to be used for ambulatory patients, and developed towards the motor recovery of the patient's upper-limb. The SWORD system combines a movement quantification system that analyzes the quality of the motor task performed with a biofeedback console. The proposed structure defines the SWORD system as a complete tele-rehabilitation framework that enables a direct connection between clinical and ambulatory settings. Currently a randomized clinical trial is being designed in order to assess the effectiveness of the SWORD tele-rehabilitation system.

Abstract
Wearable technologies have been evolving towards daily usage and are a major player in the personalized health challenge. In this paper we present a personal view of their evolution, how one of them developed within our lab went to the international market and how this type of technology is being used in pHealth projects for first responder professionals and public transportation drivers.

Abstract
The Rede Telematica da Saude (RTS) is a telematic network connecting health care providers in the Aveiro region (Portugal), aiming at supporting the continuity of care. Using the RTS, health care professionals and institutions can securely share clinical data. RTS makes use of an integration engine, which accesses the scattered data sources to create a virtual unified view of patients' information. RTS is deployed over a wide-area private network, shared among a great variety of bandwidth links, systems and applications, which can impact the infrastructure service levels in multiple ways. In this paper, we describe the development of a toolkit for monitoring the performance of the distributed integration process. These analysis mechanisms make it is possible to detect bottlenecks and introduce optimizations in the system, especially with respect to the integration engine module. Its deployment in the production RTS health telematic network assists the maintenance team and the decision taking process to handle usage trends and systems needs.

Abstract
In Epilepsy, seizure semiology analysis is routinely used for diagnostic purpose. The behavior of the patient during seizures is usually evaluated by expert qualitative observation where several signs are identified. In the clinical literature, several ictal phenomena are described but still involved in controversy. In this paper, we present our effort to establish a quantified movement analysis method to be widely used as an additional tool to clarify this controversy.

Abstract
In this paper we present the evolution of a quantitative movement analysis methodology for epileptic seizures. With this improved method we analyzed 20 seizure video sequences, 10 classified as automotor and 10 as hypermotor, from 17 different patients. The results obtained show we could classify all (100%) of the hypermotor seizures solely based on a quantified movement parameter - called movement extent extracted with our method. Other quantitative parameters were also studied. This striking result paves the way to the contribution of quantitative movement methods in automated epileptic seizure detection systems.