mCrutch: A Novel m-Health Approach Supporting Continuity of Care.

This paper reports the architecture of a low-cost smart crutches system for mobile health applications. The prototype is based on a set of sensorized crutches connected to a custom Android application. Crutches were instrumented with a 6-axis inertial measurement unit, a uniaxial load cell, WiFi connectivity, and a microcontroller for data collection and processing. Crutch orientation and applied force were calibrated with a motion capture system and a force platform. Data are processed and visualized in real-time on the Android smartphone and are stored on the local memory for further offline analysis. The prototype's architecture is reported along with the post-calibration accuracy for estimating crutch orientation (5° RMSE in dynamic conditions) and applied force (10 N RMSE). The system is a mobile-health platform enabling the design and development of real-time biofeedback applications and continuity of care scenarios, such as telemonitoring and telerehabilitation.

Home Chimney Pinwheels (HCP) as Steh and Remote Monitoring for Smart Building IoT and WSN Applications.

Smart, and ultra-low energy consuming Internet of Things (IoTs), wireless sensor networks (WSN), and autonomous devices are being deployed to smart buildings and cities, which require continuous power supply, whereas battery usage has accompanying environmental problems, coupled with additional maintenance cost. We present Home Chimney Pinwheels (HCP) as the Smart Turbine Energy Harvester (STEH) for wind; and Cloud-based remote monitoring of its output data. The HCP commonly serves as an external cap to home chimney exhaust outlets; they have very low inertia to wind; and are available on the rooftops of some buildings. Here, an electromagnetic converter adapted from a brushless DC motor was mechanically fastened to the circular base of an 18-blade HCP. In simulated wind, and rooftop experiments, an output voltage of 0.3 V to 16 V was realised for a wind speed between 0.6 to 16 km/h. This is sufficient to operate low-power IoT devices deployed around a smart city. The harvester was connected to a power management unit and its output data was remotely monitored via the IoT analytic Cloud platform "ThingSpeak" by means of LoRa transceivers, serving as sensors; while also obtaining supply from the harvester. The HCP can be a battery-less "stand-alone" low-cost STEH, with no grid connection, and can be installed as attachments to IoT or wireless sensors nodes in smart buildings and cities.

Bibliometric Study and Visualisation of Research Trends in Hybrid Blockchain Technology

This paper is a summary of literature from the Scopus database on hybrid blockchain technology, since 2016. The bibliometric patterns of research trends were visualized using a VOS viewer and the scope for future research was discussed. The most active authors, countries, and organizations were identified. The most active author was Byun C and the most active country was China. The most active research organization was Beijing University of Posts and Telecommunications, China. Future research can be on implementation challenges of hybrid blockchain technology and finding newer horizons for application. This paper highlights the domination of China, Chinese authors, and Chinese research organizations on research related to hybrid blockchain technology. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Continuous EMF Monitoring as an Emergency and Disaster Detection Tool

A number of applications founded on electromagnetic field (EMF) has increased, since wireless personal communication devices are used by a large number of people. Simultaneously, the controversy about adverse health effects of EMF exposure is in a focus of the public debate. Thus, there are constant demands for comprehensive investigation and monitoring of existing exposure to EMF. In last decade, the wireless sensors networks emerged as an innovative solution for EMF monitoring in the environment. The newest established is Serbian EMF RATEL network that performs continuous wideband monitoring, counting contribution of all active EMF sources, in particular frequency range and in the vicinity of observed location. Besides the monitoring for the health protection purposes, this network can be used as an emergency and disaster detection tool, as demonstrated in a case study of COVID-19 presence in campus of the University of Novi Sad. In this paper, technical details of the Serbian EMF RATEL monitoring network are presented, along with monitoring results from two campus locations, which clearly indicate some significant changes in the EMF level. © 2022 IEEE.

Causality of COVID-19 on EMF Radiation in Campus Area of University of Novi Sad

The mobile telephony became one of the worldwide most important technology, allowing wireless communication at any moment and virtually at any place. It is based on electromagnetic field (EMF) radiation from its network base stations, which inevitable cause EMF expansion in surrounding. However, the new base stations are followed by strong controversy, increasing concerns of the public, regarding potentially dangerous health effects of the EMFs. Thus, there is a constant demand for overall investigation and supervision of existing EMF exposure. In last decade, the wireless sensors networks emerged as an innovative solution for effective monitoring of EMFs in the environment. The latest established is the Serbian EMF RATEL network, which offers a sophisticated approach of telecommunication service-based EMF monitoring. This network performs wideband monitoring, taking into account the contribution of all active EMF sources in the vicinity of specific location. In this paper, the new role of the EMF RATEL system is considered, analyzing it as a smart solution for an emergency management. The perceptible causality of the COVID-19 on EMF radiation in campus area of University of Novi Sad is investigated, regarding the extensive activities of students in this part of the city of Novi Sad. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Substantial Phase Exploration for Intuiting Covid using form Expedient with Variance Sensor

This article focuses on implementing wireless sensors for monitoring exact distance between two individuals and to check whether everybody have sanitized their hands for stopping the spread of Corona Virus Disease (COVID). The idea behind this method is executed by implementing an objective function which focuses on maximizing distance, energy of nodes and minimizing the cost of implementation. Also, the proposed model is integrated with a variance detector which is denoted as Controlled Incongruity Algorithm (CIA). This variance detector is will sense the value and it will report to an online monitoring system named Things speak and for visualizing the sensed values it will be simulated using MATLAB. Even loss which is produced by sensors is found to be low when CIA is implemented. To validate the efficiency of proposed method it has been compared with prevailing methods and results prove that the better performance is obtained and the proposed method is improved by 76.8% than other outcomes observed from existing literatures. © 2022. by the authors. Licensee Agora University, Oradea, Romania.

Early Warning Systems for COVID-19 Infections Based on Low-Cost Indoor Air-Quality Sensors and LPWANs.

During the last two years, the COVID-19 pandemic continues to wreak havoc in many areas of the world, as the infection spreads through person-to-person contact. Transmission and prognosis, once infected, are potentially influenced by many factors, including indoor air pollution. Particulate Matter (PM) is a complex mixture of solid and/or liquid particles suspended in the air that can vary in size, shape, and composition and recent scientific work correlate this index with a considerable risk of COVID-19 infections. Early Warning Systems (EWS) and the Internet of Things (IoT) have given rise to the development of Low Power Wide Area Networks (LPWAN) based on sensors, which measure PM levels and monitor In-door Air pollution Quality (IAQ) in real-time. This article proposes an open-source platform architecture and presents the development of a Long Range (LoRa) based sensor network for IAQ and PM measurement. A few air quality sensors were tested, a network platform was implemented after simulating setup topologies, emphasizing feasible low-cost open platform architecture.