Protecting patients’ electronic health records using enhanced active bundles

We propose a solution that provides protection for patients' electronic health/medical records disseminated among different authorized healthcare information systems. The solution is known as Active Bundles using a Trusted Third Party (ABTTP). It is based on the use of trusted third parties, and the construct named active bundles. The latter keep electronic health/medical records as sensitive data; include metadata with information describing sensitive data and prescribing their use; and encompass a virtual machine (VM), which controls and manages how its active bundle behaves. An essential task of the VM is enforcement of the privacy and other policies specified by metadata. We also propose enhancements to the ABTTP scheme. They include adding to ABTTP an algorithm finding the degree of privacy policy inclusion between two privacy policies, and a scheme, known as Agent-Based Active Bundles, which replaces trusted third parties with intelligent agents

Analysis of Android Device-Based Solutions for Fall Detection

Falls are a major cause of health and psychological problems as well as hospitalization costs among older adults. Thus, the investigation on automatic Fall Detection Systems (FDSs) has received special attention from the research community during the last decade. In this area, the widespread popularity, decreasing price, computing capabilities, built-in sensors and multiplicity of wireless interfaces of Android-based devices (especially smartphones) have fostered the adoption of this technology to deploy wearable and inexpensive architectures for fall detection. This paper presents a critical and thorough analysis of those existing fall detection systems that are based on Android devices. The review systematically classifies and compares the proposals of the literature taking into account different criteria such as the system architecture, the employed sensors, the detection algorithm or the response in case of a fall alarms. The study emphasizes the analysis of the evaluation methods that are employed to assess the effectiveness of the detection process. The review reveals the complete lack of a reference framework to validate and compare the proposals. In addition, the study also shows that most research works do not evaluate the actual applicability of the Android devices (with limited battery and computing resources) to fall detection solutions.Ministerio de Economía y Competitividad TEC2013-42711-