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- VITASENIOR-MT: a telehealth solution for the elderly focused on the interaction with TVPublication . Pires, Gabriel; Frazão Correia, Pedro; Jorge, Dário; Mendes, Diogo; Gomes, Nelson; Dias, Pedro; Ferreira, Pedro; Lopes, Ana; Manso, António; Almeida, Luis; Lopes de Oliveira, Luís Miguel; Panda, Renato; Monteiro, Paulo; Grácio, Carla; Pereira, TelmoRemote monitoring of health parameters is a promising approach to improve the health condition and quality of life of particular groups of the population, which can also alleviate the current expenditure and demands of healthcare systems. The elderly, usually affected by chronic comorbidities, are a specific group of the population that can strongly benefit from telehealth technologies, allowing them to reach a more independent life, by living longer in their own homes. Usability of telehealth technologies and their acceptance by end-users are essential requirements for the success of telehealth implementation. Older people are resistant to new technologies or have difficulty in using them due to vision, hearing, sensory and cognition impairments. In this paper, we describe the implementation of an IoT-based telehealth solution designed specifically to address the elderly needs. The end-user interacts with a TV-set to record biometric parameters, and to receive warning and recommendations related to health and environmental sensor recordings. The familiarization of older people with the TV is expected to provide a more user-friendly interaction ensuring the effectiveness integration of the end-user in the overall telehealth solution.
- VITASENIOR-MT: A distributed and scalable cloud-based telehealth solutionPublication . Mendes, Diogo; Panda, Renato; Dias, Pedro; Jorge, Dário; António, Ricardo; Lopes De Oliveira, Luís Miguel; Pires, GabrielVITASENIOR-MT is a telehealth platform that allows to remotely monitor biometric and environmental data in a domestic environment, designed specifically to the elderly population. This paper proposes a highly scalable and efficient architecture to transport, process, store and visualize the data collected by devices of an Internet of Things (IoT) scenario. The cloud infrastructure follows a microservices architecture to provide computational scalability, better fault isolation, easy integration and automatic deployment. This solution is complemented with a pre-processing and validation of the collected data at the edge of the Internet by using the Fog Computing concept, allowing a better computing distribution. The presented approach provides personal data security and a simplified way to collect and present the data to the different actors, allowing a dynamic and intuitive management of patients and equipment to caregivers. The presented load tests proved that this solution is more efficient than a monolithic approach, promoting better access and control in the data flowing from heterogeneous equipment.