Wearable IoT enabled real-time health monitoring system

Abstract

As the age profile of many societies continues to increase, in addition to the increasing population of people affected by chronic diseases, including diabetes, cardiovascular disease, obesity, and so on, supporting health, both mentally and physically, is of increasing importance if independent living is to be maintained. Sensing, remote health monitoring, and, ultimately, recognising activities of daily living have been an promising solution. From a technical perspective, the Internet of Things (IoT) is gaining a rapidly growing attention in many disciplines, especially in personalised healthcare. Meanwhile, body area sensor network (BASN) under the IoT framework has been widely applied for ubiquitous health monitoring, for example. ECG monitoring has been commonly adopted as vital approach for diagnosing heart disease. The main contribution of this paper include the following: firstly, this paper presents a novel system, the WISE (Wearable IoT-cloud-baSed hEalth monitoring system), for real-time personal health monitoring. WISE adopts the BASN (body area sensor network) framework in the support of real-time health monitoring. Several wearable sensors have been embedded, including the heartbeat, body temperature, and the blood pressure sensors. Secondly, the majority of existing wearable health monitoring systems requisite a smart phone as data processing, visualisation, and transmission gateway, which will indeed impact the normal daily use of the smart phone. Whilst in WISE, data gathered from the BASN are directly transmitted to the cloud, and a lightweight wearable LCD can be embedded as an alternative solution for quick view of the real-time data.

Defending against the Novel Coronavirus (COVID-19) outbreak: How can the Internet of Things (IoT) help to save the world?

“…These technologies could reduce gaps in monitoring systems that exist due to a sheer incapacity to monitor such large geographical areas or populations. 8,16 A data mining module, which is machine learning-based approaches such as the support vector machine (SVM) is also fundamental for detection, forecasting, and diagnosis of potential diseases. 8 These approaches have been applied in the fields of computer science and medical diagnoses but are relatively novel within the field of infectious disease epidemiology.…”

“…8,16 A data mining module, which is machine learning-based approaches such as the support vector machine (SVM) is also fundamental for detection, forecasting, and diagnosis of potential diseases. 8 These approaches have been applied in the fields of computer science and medical diagnoses but are relatively novel within the field of infectious disease epidemiology. 17 Considering the present global situation, IoT based smart disease surveillance systems have the potential to be a major breakthrough in efforts to control the current pandemic.…”

“…A wealth of new technologies in the form of the Internet of Things (IoT) is gaining growing global attention 8 and becoming increasingly available for predicting, preventing and monitoring emerging infectious diseases. 9 The IoT refers to an interconnected web of smart devices, sensors, and individuals through which data can be collected in its raw form and transmitted through the internet to be analyzed for patterns or trends.…”

A Comprehensive Study of the Use of LoRa in the Development of Smart Cities

“…In the field of health, the monitoring process is intended to be the least invasive for people. To this aim, the use of wearables is considered [34]. The data generated by the different components can be processed in Fog computing [35].…”

“…IoT applications related to traffic control or transportation are mainly focused on parking systems, traffic, streetlights, congestion monitoring, and real-time public transportation. Generally, traffic in the center of a city is an important issue, not only because it increases the time of transportation for the citizens, but also because it decreases the gross domestic product (GDP) [34]. Smart lights are used to improve power efficiency and to reduce carbon dioxide emissions.…”