IoT-Based Applications in Healthcare Devices

The last decade has witnessed extensive research in the field of healthcare services and their technological upgradation. To be more specific, the Internet of Things (IoT) has shown potential application in connecting various medical devices, sensors, and healthcare professionals to provide quality medical services in a remote location. This has improved patient safety, reduced healthcare costs, enhanced the accessibility of healthcare services, and increased operational efficiency in the healthcare industry. The current study gives an up-to-date summary of the potential healthcare applications of IoT- (HIoT-) based technologies. Herein, the advancement of the application of the HIoT has been reported from the perspective of enabling technologies, healthcare services, and applications in solving various healthcare issues. Moreover, potential challenges and issues in the HIoT system are also discussed. In sum, the current study provides a comprehensive source of information regarding the different fields of application of HIoT intending to help future researchers, who have the interest to work and make advancements in the field to gain insight into the topic

An Overview of IoT and Healthcare

This paper is an overview of some of the implications of IoT on the healthcare field. Due to the increasing of IoT solutions, healthcare cannot be outside of this paradigm. The contribution of this paper is to introduce directions to achieve a global connectivity between the Internet of Things (IoT) and the medical environments. The need to integrate all in a global environment is a huge challenge to all (from electrical engineers to data engineers).This revolution is redesigning the way we see healthcare, from the smallest sensor to the big data collected

Exploratory Analysis of Internet of Things (IoT) in Healthcare: A Topic Modeling Approach

The rapid integration of the physical and cyber worlds through the Internet of Things, or IoTs, is transforming our lives in ways that we could not have imagined even five years ago. Although they are still in their infancy, IoTs have already made a significant impact, particularly in the healthcare domain. The purpose of this study is to unravel key themes latent in the sparse but growing academic literature on the application of IoTs in healthcare. Specifically, we performed topic modeling and identified five dominant clusters of research, namely, privacy and security, wireless network technologies, applications, data, and smart health and cloud. Our results show that research in healthcare IoT has mainly focused on the technical aspects with little attention to social concerns. In addition to categorizing and discussing the topics identified, the paper provides directions for future researc

Design of a Healthcare Monitoring and Communication System for Locked-In Patients Using Machine Learning, IOTs, and Brain-Computer Interface Technologies

Machine learning (ML) models have shown great promise in advancing brain-computer interface (BCI) signal processing and in enhancing the capabilities of Internet of Things (IoT) mobile devices. By combining these advancements into a comprehensive healthcare monitoring and communication system, we may significantly improve the quality of life for patients living with locked-in syndrome. To that effect, we present a three-tiered approach to systems design using known ML models: data collection, local integrated system deployed on IoT hardware, and administrative management. The first tier focuses on IoT sensors and non-invasive recording of brain signals, their calibration and data collection, and data processing. The second tier focuses on aggregating and directing the data, an alert system for caregivers, and a BCI for personalized communication. The last tier focuses on accountability and essential management tools. This research-in-progress demonstrates the feasibility of integrating current technologies to improve care for locked-in patients

THE ROLE OF INTERNET OF THINGS(IOT) IN SMART HEALTHCARE SYSTEM

Healthcare has evolved thanks to the Internet of Things (IoT) revolution. Health management has replaced treatment as the primary focus of healthcare. As a result, as healthcare develops toward patient-oriented and analytical applications, more data are being collected and pooled than ever before. In addition to discussing health data and patient-centred health management, this article also covers several facets of smart healthcare. One of the most important industries that the Internet of Things (IoT) has modernized is healthcare. The ability to collect data and evaluate this enormous data is made possible by the shrinking of sensors. IoT sensors can be used to connect medical equipment and resources in order to gather data and process it. This paper provides a overview of certain IoT's effects on the healthcare industry. Healthcare cannot be outside of this paradigm given the rise of IoT technologies. The purpose of this article is to provide guidelines for achieving worldwide connectivity between medical environments and the Internet of Things (IoT

Innovative IoT Solutions and Wearable Sensing Systems for Monitoring Human Biophysical Parameters: A Review

none3noDigital and information technologies are heavily pervading several aspects of human activities, improving our life quality. Health systems are undergoing a real technological revolution, radically changing how medical services are provided, thanks to the wide employment of the Internet of Things (IoT) platforms supporting advanced monitoring services and intelligent inferring systems. This paper reports, at first, a comprehensive overview of innovative sensing systems for monitoring biophysical and psychophysical parameters, all suitable for integration with wearable or portable accessories. Wearable devices represent a headstone on which the IoT-based healthcare platforms are based, providing capillary and real-time monitoring of patient’s conditions. Besides, a survey of modern architectures and supported services by IoT platforms for health monitoring is presented, providing useful insights for developing future healthcare systems. All considered architectures employ wearable devices to gather patient parameters and share them with a cloud platform where they are processed to provide real-time feedback. The reported discussion highlights the structural differences between the discussed frameworks, from the point of view of network configuration, data management strategy, feedback modality, etc.Article Number: 1660openRoberto De Fazio; Massimo De Vittorio; Paolo ViscontiDE FAZIO, Roberto; DE VITTORIO, Massimo; Visconti, Paol

Integrating Internet of Things and EHealth Solutions for Students’ Healthcare

Apple Incorporated’s recent announcement of its entry device – The Apple Watch™ to the wearable’s market can arguably be said to put a final seal of authenticity on wearables. The inevitable ubiquity of wearable devices for eHealth monitoring is a fact soon to be reckoned with. Access to the physiological information provided by the wearables through the ‘6A Connectivity Concept’ of IoT will find positive applications in various fields, most especially in the eHealth and mobile-Health domain. The state of health of a student is key in determining the student’s overall academic performance. Health-related issues usually affect the motivation and ability of students to learn. Therefore it is necessary to provide better health services for students in their various schools and institutions. This paper is a study of the integration of Internet of Things (IoT) and eHealth solutions to effectively manage and monitor university students’ health. One of IoT’s main technologies in healthcare is Radio Frequency IDentification (RFID) technology. In this study, we show how RFID technology is used to implement an eHealth solution known as Electronic Medical Records (EMR) for managing students’ health information (which includes students’ medical history, prescriptions, laboratory results, Electrocardiography (ECG) results, blood pressure results, and vital signs). This paper also studies wearable devices for monitoring students that are at risk for high blood pressure, which can be due to intense stress, overweight conditions, and family history of high blood pressure

Integrating Internet of Things and EHealth Solutions for Students’ Healthcare

Apple Incorporated’s recent announcement of its entry device – The Apple Watch™ to the wearable’s market can arguably be said to put a final seal of authenticity on wearables. The inevitable ubiquity of wearable devices for eHealth monitoring is a fact soon to be reckoned with. Access to the physiological information provided by the wearables through the ‘6A Connectivity Concept’ of IoT will find positive applications in various fields, most especially in the eHealth and mobile-Health domain. The state of health of a student is key in determining the student’s overall academic performance. Health-related issues usually affect the motivation and ability of students to learn. Therefore it is necessary to provide better health services for students in their various schools and institutions. This paper is a study of the integration of Internet of Things (IoT) and eHealth solutions to effectively manage and monitor university students’ health. One of IoT’s main technologies in healthcare is Radio Frequency IDentification (RFID) technology. In this study, we show how RFID technology is used to implement an eHealth solution known as Electronic Medical Records (EMR) for managing students’ health information (which includes students’ medical history, prescriptions, laboratory results, Electrocardiography (ECG) results, blood pressure results, and vital signs). This paper also studies wearable devices for monitoring students that are at risk for high blood pressure, which can be due to intense stress, overweight conditions, and family history of high blood pressure

Challenges and Opportunities of Internet of Things in Healthcare

The Internet of  Things (IoT) relies on physical objects interconnected between each other’s, creating a mesh of devices producing information and services. In this context, sensors and actuators are being continuously embedded in everyday objects (e.g., cars, home appliances, and smartphones) thus pervading our living environment. Among the plethora of application contexts, smart Healthcare is gaining momentum. Indeed IoT can revolutionize the healthcare industry by improving operational efficiency and clinical trials’ quality of monitoring, and by optimizing healthcare costs. This paper provides an overview of IoT, its applicability in healthcare, some insights about current trends and an outlook on future developments of healthcare systems.

INTEGRATION OF INTERNET OF THINGS AND HEALTH RECOMMENDER SYSTEMS

The Internet of Things (IoT) has become a part of our lives and has provided many enhancements to day-to-day living. In this project, IoT in healthcare is reviewed. IoT-based healthcare is utilized in remote health monitoring, observing chronic diseases, individual fitness programs, helping the elderly, and many other healthcare fields. There are three main architectures of smart IoT healthcare: Three-Layer Architecture, Service-Oriented Based Architecture (SoA), and The Middleware-Based IoT Architecture. Depending on the required services, different IoT architecture are being used. In addition, IoT healthcare services, IoT healthcare service enablers, IoT healthcare applications, and IoT healthcare services focusing on Smartwatch are presented in this research. Along with IoT in smart healthcare, Health Recommender Systems integration with IoT is important. Main Recommender Systems including Content-based filtering, Collaborative-based filtering, Knowledge-based filtering, and Hybrid filtering with machine learning algorithms are described for the Health Recommender Systems. In this study, a framework is presented for the IoT-based Health Recommender Systems. Also, a case is investigated on how different algorithms can be used for Recommender Systems and their accuracy levels are presented. Such a framework can help with the health issues, for example, risk of going to see the doctor during pandemic, taking quick actions in any health emergencies, affordability of healthcare services, and enhancing the personal lifestyle using recommendations in non-critical conditions. The proposed framework can necessitate further development of IoT-based Health Recommender Systems so that people can mitigate their medical emergencies and live a healthy life