Wireless Sensor Networks are considered to be among the most rapidly evolving technological domains thanks to the numerous benefits that their usage provides. As a result, from their first appearance until the present day, Wireless Sensor Networks have had a continuously growing range of applications. The purpose of this article is to provide an up-to-date presentation of both traditional and most recent applications of Wireless Sensor Networks and hopefully not only enable the comprehension of this scientific area but also facilitate the perception of novel applications. In order to achieve this goal, the main categories of applications of Wireless Sensor Networks are identified, and characteristic examples of them are studied. Their particular characteristics are explained, while their pros and cons are denoted. Next, a discussion on certain considerations that are related with each one of these specific categories takes place. Finally, concluding remarks are drawn.

Applications of Wireless Sensor Networks: An Up-to-Date Survey

Cloud and IoT based disease prediction and diagnosis system for healthcare using Fuzzy neural classifier

The aim of this review is to investigate barriers and challenges of wearable patient monitoring (WPM) solutions adopted by clinicians in acute, as well as in community, care settings. Currently, healthcare providers are coping with ever-growing healthcare challenges including an ageing population, chronic diseases, the cost of hospitalization, and the risk of medical errors. WPM systems are a potential solution for addressing some of these challenges by enabling advanced sensors, wearable technology, and secure and effective communication platforms between the clinicians and patients. A total of 791 articles were screened and 20 were selected for this review. The most common publication venue was conference proceedings (13, 54%). This review only considered recent studies published between 2015 and 2017. The identified studies involved chronic conditions (6, 30%), rehabilitation (7, 35%), cardiovascular diseases (4, 20%), falls (2, 10%) and mental health (1, 5%). Most studies focussed on the system aspects of WPM solutions including advanced sensors, wireless data collection, communication platform and clinical usability based on a specific area or disease. The current studies are progressing with localized sensor-software integration to solve a specific use-case/health area using non-scalable and `silo' solutions. There is further work required regarding interoperability and clinical acceptance challenges. The advancement of wearable technology and possibilities of using machine learning and artificial intelligence in healthcare is a concept that has been investigated by many studies. We believe future patient monitoring and medical treatments will build upon efficient and affordable solutions of wearable technology.

A Systematic Review of Wearable Patient Monitoring Systems --- Current Challenges and Opportunities for Clinical Adoption

Cloud-centric IoT based disease diagnosis healthcare framework

Perceived Usability Evaluation of Microsoft Teams as an Online Learning Platform During COVID-19 using System Usability Scale and Technology Acceptance Model in India.

Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM)

Online telemedicine systems are useful due to the possibility of timely and efficient healthcare services. These systems are based on advanced wireless and wearable sensor technologies. The rapid growth in technology has remarkably enhanced the scope of remote health monitoring systems. In this paper, a real-time heartmonitoring systemis developed considering the cost, ease of application, accuracy, and data security. The system is conceptualized to provide an interface between the doctor and the patients for two-way communication. The main purpose of this study is to facilitate the remote cardiac patients in getting latest healthcare services which might not be possible otherwise due to low doctor-to-patient ratio.The developed monitoring system is then evaluated for 40 individuals (aged between 18 and 66 years) using wearable sensors while holding an Android device (i.e., smartphone under supervision of the experts). The performance analysis shows that the proposed system is reliable and helpful due to high speed. The analyses showed that the proposed system is convenient and reliable and ensures data security at low cost. In addition, the developed system is equipped to generate warning messages to the doctor and patient under critical circumstances.

/pdf/a-real-time-health-monitoring-system-for-remote-cardiac-22ycwkypxr.pdf

A real-time health monitoring system for remote cardiac patients using smartphone and wearable sensors

In this paper the attempt has been made to design and analyze single strip shielded microstrip line with capacitive coupling. The objective is to find the capacitance per unit length of shielded microstrip line using Finite Element Technique. The computational and simulation work has been carried out with the help of FEM based COMSOL Multiphysics software. The shielded microstrip line has very significant industrial applications in the variable range of frequencies applied. These are commonly used for high frequency transmission lines also. The adaptive mesh refinement technique is further used to obtain 2D results accurately. Some of these results have been compared and validated with the experimental results.

/pdf/optimized-design-of-shielded-microstrip-lines-using-adaptive-3pjdm0vpaj.pdf

Priyanka Kakria

Papers

Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM)

A real-time health monitoring system for remote cardiac patients using smartphone and wearable sensors

Optimized Design of Shielded Microstrip Lines Using Adaptive Finite Element Method