Technical note: A mobile collaborative workspace to assist forensic experts in disaster victim identification scenarios.

Integrated approaches to disaster victim identification (DVI) management have led to a need for technologies to improve interaction among parties involved in post-mortem (PM) and ante-mortem (AM) data collection through better communication and coordination. Mobile Forensic Workspace© (MFW) is a collaborative mobile system that not only facilitates the systematic collection of high-quality data, but also allows DVI professionals to coordinate activities and exchange data through secure real-time communication at major disaster scenarios in accordance with security, privacy and legal protocols. MFW is adaptable to any communication format (text, voice calls, photographs, etc.) and is dynamically self-reconfigurable when connectivity problems arise. It also allows data integration and backup through secure communication channels between local and remote servers. The feasibility of the system has been demonstrated through implementation of MFW on the iOS platform for iPhone, iPod Touch and iPad terminals. A further strength of MFW is that it provides out-of-the-box support for INTERPOL DVI forms. The application of information and communication technologies for DVI was shown to be useful in improving DVI management by enhancing the quality of data collection and enabling non-Internet dependent real-time data sharing and communication.

General Architecture for Development of Virtual Coaches for Healthy Habits Monitoring and Encouragement.

Good health is the result of a healthy lifestyle, where caring about physical activity and nutrition are key concerns. However, in today's society, nutritional disorders are becoming increasingly frequent, affecting children, adults, and elderly people, mainly due to limited nutrition knowledge and the lack of a healthy lifestyle. A commonly adopted therapy to these imbalances is to monitor physical activity and daily habits, such as recording exercise or creating custom meal plans to count the amount of macronutrients and micronutrients acquired in each meal. Nowadays, many health tracking applications (HTA) have been developed that, for instance, record energy intake as well as users' physiological parameters, or measure the physical activity during the day. However, most existing HTA do not have a uniform architectural design on top of which to build other applications and services. In this manuscript, we present system architecture intended to serve as a reference architecture for building HTA solutions. In order to validate the proposed architecture, we performed a preliminary evaluation with 15 well recognized experts in systems and software architecture from different entities around world and who have estimated that our proposal can generate architecture for HTA that is adequate, reliable, secure, modifiable, portable, functional, and with high conceptual integrity. In order to show the applicability of the architecture in different HTA, we developed two telemonitoring systems based on it, targeted to different tasks: nutritional coaching (Food4Living) and physical exercise coaching (TrainME). The purpose was to illustrate the kind of end-user monitoring applications that could be developed.

Using Actigraphy and mHealth Systems for an Objective Analysis of Sleep Quality on Systemic Lupus Erythematosus Patients.

INTRODUCTION: Although sleep alterations can be an important factor contributing to the clinical state of Systemic Lupus Erythematosus, there are no studies to adequately assess sleep quality in this type of disease. OBJECTIVES: The aim of this work is to analyse the sleep quality of Systemic Lupus Erythematous (SLE) patients based on more objective information provided by actigraphy and mobile systems. The idea is to carry out a comprehensive study by analysing how environmental conditions and factors can affect sleep quality. METHODS: In traditional methods the information for assessing sleep quality is obtained through questionnaires. In this work, a novel method is proposed by combining these questionnaires that provide valuable but subjective information with actigraphy and a mobile system to collect more objective information about the patient and their environment. The method provides mechanisms to detect how sleep hygiene could be associated directly with the sleep quality of the subjects, in order to provide a custom intervention to SLE patients. Moreover, this alternative provides ease of use, and non-intrusive ICT (Information and Communication Technology) through a wristband and a mHealth system. The mHealth system has been developed for environmental conditions sensing. This consists of a mobile device with built-in sensors providing input data about the bedroom environment during sleep, and a set of services of the Environmental Monitoring System for properly managing the configuration, registration and fusion of those input data. In previous studies, this information has never been taken into account. However, the information could be relevant in the case of SLE patients. The sample is composed of 9 women with SLE and 11 matched controls with a mean age of 35.78 and 32.18, respectively. Demographic and clinical variables between SLE patients and healthy controls are compared using the Fisher exact test and the Mann-Whitney U test. Relationships between psychological variables, actigraphy measures, and variables related to environmental conditions are analysed with Spearman's rank correlation coefficient. RESULTS: The SLE group showed poorer sleep quality, and more pain intensity, fatigue and depression than the healthy controls. Significant differences between SLE women and healthy controls in measures of actigraphy were not found. However, the fusion of the measures of the environmental conditions that were collected by the mobile system and actigraphy, has shown that light, and more specifically temperature have a direct relation with several measures of actigraphy which are related to sleep quality. It should be emphasize this result because usually the sleep problems are assessment through self-reported measures which had not revealed this association. Moreover, there are no previous studies that analyse these aspects in bedroom environments of SLE patients directly from objective measures. CONCLUSIONS: The results indicate the need to complement the subjective evaluation of sleep with objective measures. The use of actigraphy in combination with a new mHealth system provides a complete assessment especially relevant to chronic conditions as SLE. Both systems incorporate this objective information directly from objective measures in a non-intrusive way. Moreover, the measures of bedroom environmental variables provide useful and relevant clinical information to assess what is happening daily and not occasionally. This could lead to more customized interventions and adapt the treatment to each individual.

A Comparative Study on the Suitability of Smartphones and IMU for Mobile, Unsupervised Energy Expenditure Calculi.

The metabolic equivalent of task (MET) is currently the most used indicator for measuring the energy expenditure (EE) of a physical activity (PA) and has become an important measure for determining and supervising a person's state of health. The use of new devices which are capable of measuring inertial movements by means of built-in accelerometers enable the PA to be measured objectively on the basis of the reckoning of "counts". These devices are also known as inertial measurement units (IMUs) and each count is an aggregated value indicating the intensity of a movement and can be used in conjunction with other parameters to determine the MET rate of a particular physical activity and thus it's associated EE. Various types of inertial devices currently exist that enable count calculus and physical activity to be monitored. The advent of mobile devices, such as smartphones, with empowered computation capabilities and integrated inertial sensors, has enabled EE to be measure in a distributed, ubiquitous and natural way, thereby overcoming the reluctance of users and practitioners associated with in-lab studies. From the point of view of the process analysis and infrastructure needed to manage data from inertial devices, there are also various differences in count computing: extra devices are required, out-of-device processing, etc. This paper presents a study to discover whether the estimation of energy expenditure is dependent on the accelerometer of the device used in measurements and to discover the suitability of each device for performing certain physical activities. In order to achieve this objective, we have conducted several experiments with different subjects on the basis of the performance of various daily activities with different smartphones and IMUs.

A communication model to integrate the Request-Response and the Publish-Subscribe paradigms into ubiquitous systems.

The Request-Response (RR) paradigm is widely used in ubiquitous systems to exchange information in a secure, reliable and timely manner. Nonetheless, there is also an emerging need for adopting the Publish-Subscribe (PubSub) paradigm in this kind of systems, due to the advantages that this paradigm offers in supporting mobility by means of asynchronous, non-blocking and one-to-many message distribution semantics for event notification. This paper analyzes the strengths and weaknesses of both the RR and PubSub paradigms to support communications in ubiquitous systems and proposes an abstract communication model in order to enable their seamless integration. Thus, developers will be focused on communication semantics and the required quality properties, rather than be concerned about specific communication mechanisms. The aim is to provide developers with abstractions intended to decrease the complexity of integrating different communication paradigms commonly needed in ubiquitous systems. The proposal has been applied to implement a middleware and a real home automation system to show its applicability and benefits.