Integrated healthcare monitoring device for obese adults using internet of things (IoT)

Obesity is a global epidemic, often considered an impending disaster for the world’s population. Healthcare organizations and professionals repeatedly emphasize the negative impacts on obesity in the development of cardiovascular diseases, hypertension and diabetes. The continuous monitoring of physiological parameters; namely SpO2, blood pressure, body temperature and pulse rate are imperative for obese adult patients. IoT is a dynamic field, used extensively in all fields: agriculture, automobile, manufacturing and retail industry primarily for automated remote real-time monitoring. This paper focuses on the implementation of IoT in the healthcare industry for monitoring and evaluating health conditions of obese adults, along with emphasis on the importance of medical data storage. Furthermore, a device is developed with a novel design and system, which not only allows real-time monitoring but also the storage of medical records for multiple patients simultaneously. The device facilitates measurements of these parameters using an Arduino environment and then transmits the data onto an IoT dashboard using a Wi-fi module for remote monitoring for healthcare professionals. The main aim is to provide a suitable device recommended by doctors for patients suffering from obesity, such that doctors can examine patient’s health trends over a period from the stored data for monitoring any changes that could be a symptom of an underlying unnoticed health condition

Pervasive Data Science on the Edge

Peer reviewe

IoT Software Infrastructure for Remote Monitoring of Patients with Chronic Metabolic Disorders

Novel Information and Communication Technologies, such as Internet-of-Things (IoT), middleware and cloud computing, are providing innovative solutions ranging in different contexts. Smart health is one of these scenarios. Indeed, there is a rising interest in developing new healthcare services for remote patient assistance and monitoring. Among all, the main promised benefits consist on improving the patients’ quality of life, speeding up therapeutic interventions and reducing hospitalizations’ costs. This is also known as Telemedicine. In this paper, we present a novel distributed software infrastructure for remote monitoring of patients with chronic metabolic disorders: i) it collects and and makes available information coming from IoT devices, ii) it performs analysis to help medical diagnosis and iii) it promotes a bidirectional communication among the end-users (i.e. medical personnel and patients). In this paper, we also present our experimental results performed in a laboratory test environment to validate the proposed solution

Trusted Wireless Monitoring based on Blockchain over NB-IoT Connectivity

The data collected from Internet of Things (IoT) devices on various emissions or pollution, can have a significant economic value for the stakeholders. This makes it prone to abuse or tampering and brings forward the need to integrate IoT with a Distributed Ledger Technology (DLT) to collect, store, and protect the IoT data. However, DLT brings an additional overhead to the frugal IoT connectivity and symmetrizes the IoT traffic, thus changing the usual assumption that IoT is uplink-oriented. We have implemented a platform that integrates DLTs with a monitoring system based on narrowband IoT (NB-IoT). We evaluate the performance and discuss the tradeoffs in two use cases: data authorization and real-time monitoring.Comment: 7 pages, 6 figures, Accepted in IEEE Communication Magazin

Supporting active aging through a home automation infrastructure for social internet of things

The number of smart devices inside the living environments grows more and more every day, and with it the need to interface them in order to share data and activate functions. Each day, new scenarios and new applications emerge to make our lives easier in many different contexts. The AAL SOCIALIZE project aims to create a new reference platform for active ageing by applying technological solutions to care for the health of the elderly, facilitate their daily activities, simplify their access to dedicated services. The work presented herein describes the "Elderly Monitoring service" ‒ an IoT module of the SOCIALIZE platform, whose aim is to monitor elderly people's activities and physiological parameters and to combine smart device functions. This modeling process can actively contribute to anticipating, and thereby preventing, emergency situations, increasing elderly autonomy and making them feel "protected" and "safe". In this regard, the system implements a practicable, scalable solution that allows heterogeneous devices belonging to different domotic systems using diverse protocols to interact with each other, share data and services and bind together through ‘friendship’, thereby creating an infrastructure suitable for the creation of a true Social IoT (SIoT)

Personal data sharing acceptance for mobile application’s users : health sector analysis

Mobile applications have become essential to people’s daily lives, since nowadays they use mobile applications for many things other than just communicating. The use of mobile health applications has also increased. These apps have several benefits for both healthcare providers and patients. Companies that own mobile applications collect all types of personal information of their users. Geolocation is one of those data types. It is especially important for health mobile applications since it can help slow the spread of contagious diseases. When determining whether to disclose this kind of data, users must consider the benefits and risks of doing so. This study’s main goal is to discover which socio-demographic factors and perceived benefits and risks most strongly influence users’ willingness to share their geolocation data with mobile applications. It was concluded that the users’ generation, marital status, parenthood and employment status are the variables that impact the users’ willingness to share geolocation data with mobile apps. Being able to use the service provided by an app and having their data used for other purposes are the most frequent benefit and risk experiences by the users, respectively. Yet, it was also shown that certain risks and benefits are viewed differently by users based on their generation and gender. The following conclusions about other factors that influence the users’ willingness to share geolocation data with apps were also drawn: users are more likely to share that data periodically rather than continuously; if the data processing procedures are transparent and if data anonymity is granted, that willingness increases; some characteristics of the company that owns an app influences that willingness; rewards like donations to charity, discounts and virtual reward points have little impact on the users’ decision.Nos dias de hoje, as pessoas usam aplicações para tudo. Inevitavelmente, a consequente utilização de aplicações do setor da saúde também tem vindo a aumentar. As aplicações do setor da saúde trazem vantagens para os prestadores de serviços de saúde e para os pacientes. As empresas detentoras das aplicações recolhem todo o tipo de informação pessoal dos utilizadores, nomeadamente a geolocalização. É especialmente importante para o setor da saúde, visto que pode ajudar na prevenção de doenças contagiosas. Partilhar este tipo de informação traz benefícios e riscos que têm de ser avaliados pelos utilizadores quando decidem se devem partilhá-lo com as aplicações. O principal objetivo deste estudo é perceber quais os fatores sociodemográficos, riscos e benefícios que mais influenciam a disponibilidade dos utilizadores para partilhar dados pessoais de geolocalização com aplicações móveis, em particular, com aplicações do setor da saúde. Concluiu-se que a geração, o estado civil, a parentalidade e a situação profissional são os fatores que influenciam a decisão de partilhar dados pessoais de geolocalização com aplicações móveis. Poder utilizar o serviço prestado por uma app e ter os seus dados utilizados para outros fins são, respetivamente, o benefício e o risco mais referidos pelos utilizadores. Alguns benefícios e riscos são percecionados de forma diferente por utilizadores de géneros e gerações diferentes. Relativamente a outros fatores que influenciam a disponibilidade dos utilizadores para partilhar dados de geolocalização aferiu-se que: estão mais disponíveis para partilhar esses dados esporadicamente do que continuamente; se o processamento de dados for transparente e o anonimato for garantido, essa disponibilidade aumenta; algumas características das empresas detentoras das apps influenciam essa decisão; recompensas como doações para a caridade, descontos e pontos de recompensa virtuais, não são relevantes para a sua decisão