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- Usability of a telehealth solution based on TV interaction for the elderly: the VITASENIOR-MT case studyPublication . Pires, Gabriel; Lopes, Ana; Correia, Pedro; Almeida, Luis; Oliveira, Luís; Panda, Renato; Jorge, Dario; Mendes, Diogo; Dias, Pedro; Gomes, Nelson; Pereira, TelmoRemote monitoring of biometric data in the elderly population is an important asset for improving the quality of life and level of independence of elderly people living alone. However, the design and implementation of health technological solutions often disregard the elderly physiological and psychological abilities, leading to low adoption of these technologies. We evaluate the usability of a remote patient monitoring solution, VITASENIOR-MT, which is based on the interaction with a television set. Twenty senior participants (over 64 years) and a control group of 20 participants underwent systematic tests with the health platform and assessed its usability through several questionnaires. Elderly participants scored high on the usability of the platform, very close to the evaluation of the control group. Sensory, motor and cognitive limitations were the issues that most contributed to the difference in usability assessment between the elderly group and the control group. The solution showed high usability and acceptance regardless of age, digital literacy, education and impairments (sensory, motor and cognitive), which shows its effective viability for use and implementation as a consumer product in the senior market.
- Recognition of human activity based on sparse data collected from smartphone sensorsPublication . Figueiredo, João; Gordalina, Gonçalo; Frazão Correia, Pedro; Pires, Gabriel; Lopes de Oliveira, Luís Miguel; Martinho, Ricardo; Rijo, Rui; Assunção, Pedro; Seco, Alexandra; Fonseca-Pinto, RuiThis paper proposes a method of human activity monitoring based on the regular use of sparse acceleration data and GPS positioning collected during smartphone daily utilization. The application addresses, in particular, the elderly population with regular activity patterns associated with daily routines. The approach is based on the clustering of acceleration and GPS data to characterize the user's pattern activity and localization for a given period. The current activity pattern is compared to the one obtained by the learned data patterns, generating alarms of abnormal activity and unusual location. The obtained results allow to consider that the usage of the proposed method in real environments can be beneficial for activity monitoring without using complex sensor networks.
- VITASENIOR–MT: Architecture of a Telehealth SolutionPublication . Pires, Gabriel; Lopes, Ana; Manso, António; Jorge, Dário; Mendes, Diogo; Almeida, Luis; Lopes de Oliveira, Luís Miguel; Gomes, Nelson; Dias, Pedro; Panda, Renato; Pereira, Telmo; Monteiro, Paulo; Grácio, CarlaVITASENIOR-MT is a telehealth solution under development that aims to monitor and improve the healthcare of elderly people living in the region of Médio Tejo. This solution performs both remote and local monitoring of biometric parameters of the elderly, and also of environmental parameters of their homes. The biometric variables include heart rate and temperature measurements collected automatically, by means of a bracelet, throughout the day. Blood pressure, body weight, and other biometric parameters are measured on a daily basis by the senior’s own initiative, and automatically recorded. The environmental parameters include temperature, carbon monoxide and carbon dioxide measurements. A TV set is used as a mean of interaction between the user and the medical devices. The TV set is also used to receive medical warnings and recommendations according to clinical profiles, and to receive environmental alerts. All data and alerts can be accessible to senior’s family and healthcare providers. In alarm situations, an automatic operational procedure will be triggered establishing communication to predefined entities.
- 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.