Browsing by Issue Date, starting with "2023-10-06"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
- Physical Fitness Variables, General Health, Dementia and Quality of Life in Individuals with Intellectual and Developmental Disabilities: A Cross-Sectional StudyPublication . Jacinto, Miguel; Matos, Rui; Gomes, Beatriz Branquinho; Caseiro, André; Antunes, Raul; Monteiro, Diogo; Ferreira, José Pedro; Campos, Maria JoãoThe average life expectancy of individuals with intellectual and developmental disabilities (IDDs) is increasing. However, living more years does not mean living better, leading to the need for research on comorbidities associated with the aging process. Associated with this process are the physical characteristics most prevalent in an individual with IDD: low levels of all physical capacities, the accumulation of central fat, hyperglycemia, dyslipidemia, and hypertension, variables considered to be some of the main risk factors of the onset of metabolic and cardiovascular diseases, and variables that can negatively impact quality of life (QoL). Therefore, the aim of this study is to evaluate a sample of 21 institutionalized adults with IDD (42.81 ± 10.99 years old) in terms of their anthropometric characteristics, body composition, general health status, functional capacity, neuromuscular capacity, and dementia/cognitive function, and the possible associations with QoL. All assessments were performed in the laboratory of the Faculty of Sport Sciences and Physical Education—University of Coimbra. Participants, in the present study, have low levels of physical fitness and high metabolic and cardiovascular markets, which need to be improved. On the other hand, functional and neuromuscular ability seems to be associated with QoL (p ≤ 0.05). This study highlights the role of primary and secondary care providers in diagnosis, prevention, and supporting individuals with IDDs to promote QoL.
- FORENSIC ANALYSIS OF THE GARMIN CONNECT ANDROID APPLICATIONPublication . Nunes, Fabian Pereira; Frade, Miguel Monteiro de Sousa; Domingues, Patrício RodriguesWearable smart devices are becoming more prevalent in our lives. These tiny devices read various health signals such as heart rate and pulse and also serve as companion devices that store sports activities and even their coordinates. This data is typically sent to the smartphone via a companion application installed. These applications hold a high forensic value because of the users’ private information they store. They can be crucial in a criminal investigation to understand what happened or where that person was during a given period. They also need to guarantee that the data is secure and that the application is not vulnerable to any attack that can lead to data leaks. The present work aims to do a complete forensic analysis of the companion application Garmin Connect for Android devices. We used a Garmin Smartband to generate data and test the application with a rooted Android device. This analysis is split into two parts. The first part will be a traditional Post Mortem analysis where we will present the application, data generation process, acquisition process, tools, and methodologies. Lastly, we analyzed the data extracted and studied what can be considered a forensic artifact. In the second part of this analysis, we performed a dynamic analysis. We used various offensive security techniques and methods to find vulnerabilities in the application code and network protocol to obtain data in transit. Besides completing the Garmin Connect application analysis, we contributed various modules and new features for the tool Android Logs Events And Protobuf Parser (ALEAPP) to help forensic practitioners analyze the application and to improve the open-source digital forensics landscape. We also used this analysis as a blueprint to explore six other fitness applications that can receive data from Garmin Connect. With this work, we could conclude that Garmin Connect stores a large quantity of private data in its device, making it of great importance in case of a forensic investigation. We also studied its robustness and could conclude that the application is not vulnerable to the tested scenarios. Nevertheless, we found a weakness in their communication methods that lets us obtain any data from the user even if it was not stored in the device. This fact increased its forensic importance even more.