Smart Healthcare IoT Applications Using AI

2022 ◽  
pp. 238-257
Author(s):  
Hema D.
Keyword(s):  
Human Health ◽  
Healthcare Professionals ◽  
Healthcare Systems ◽  
The Internet ◽  
Iot Applications ◽  
Prompt Treatment ◽  
Holter Monitor ◽  
Smart Healthcare ◽  
Healthcare Application ◽  
Diagnose Monitor

Globally, healthcare professionals strive to diagnose, monitor, and save human lives. An application that advances the medical field to the next level is the need of the hour. Smart healthcare systems using IoT help in the process of monitoring human health by minimizing human intervention. Taking care and monitoring of human health has a significant contribution in declining the mortality rate as well. IoT in healthcare has aided smarter communications and prompt treatment to save lives. Patient data are sensed by sensors/microcontrollers, sent over the internet, stored in the cloud, and received by healthcare professionals during emergencies. Applications of such smart healthcare using IoT are blood glucose meters, medical vehicles, sphygmomanometer, pulse oximeter, Holter monitor, etc. This chapter elucidates several smart healthcare IoT applications using artificial intelligence and cloud computing technology. The chapter also elaborates the importance and functions of various cloud and AI components in designing a smart healthcare application.

Malware Detection Approaches and Analysis for the Internet of Medical Things Enabled Healthcare Systems

2021 ◽  
Vol 10 (6) ◽  
pp. 3117-3121
Keyword(s):  
Denial Of Service ◽  
Malware Detection ◽  
Healthcare Systems ◽  
Information And Communications Technology ◽  
The Internet ◽  
Smart Healthcare ◽  
Man In The Middle ◽  
Internet Of Medical Things ◽  
Detection Schemes ◽  
The Internet Of Things

The advancement of information and communications technology has changed an IoMT-enabled healthcare system. The Internet of Medical Things (IoMT) is a subset of the Internet of Things (IoT) that focuses on smart healthcare (medical) device connectivity. While the Internet of Medical Things (IoMT) communication environment facilitates and supports our daily health activities, it also has drawbacks such as password guessing, replay, impersonation, remote hijacking, privileged insider, denial of service (DoS), and man-in-the-middle attacks, as well as malware attacks. Malware botnets cause assaults on the system's data and other resources, compromising its authenticity, availability, confidentiality and, integrity. In the event of such an attack, crucial IoMT communication data may be exposed, altered, or even unavailable to authorised users. As a result, malware protection for the IoMT environment becomes critical. In this paper, we provide several forms of malware attacks and their consequences. We also go through security, privacy, and different IoMT malware detection schemes

scholarly journals Cyberslacking Behaviors in Healthcare Professionals

2021 ◽  
Author(s):  
Kıymet Koç ◽  
Serap Altuntaş
Keyword(s):  
Human Health ◽  
Healthcare Professionals ◽  
Health Sector ◽  
Working Life ◽  
Medical Personnel ◽  
Healthcare Services ◽  
The Internet ◽  
Full Time ◽  
Personal Use ◽  
Use Of The Internet

Together with the use of the internet in working life, the communication activities of organizations and the services they provide have become more productive and faster. However, problems such as the use of the internet by employees for their special purposes outside work have also emerged. This condition is defined as cyberslacking behavior in the literature, which indicates personal use of the internet by employees outside their tasks in the workplace environment. Since the sensitivity and attention to be showed by medical personnel will directly affect human health when providing healthcare services, it is necessary to put emphasis on cyberslacking behavior of healthcare professionals, especially nurses who maintain the care of patients full time. Studies investigating cyberslacking behavior in health sector are not adequate in number. This study has compiled the results of studies giving information about cyberslacking behavior in healthcare professionals.

scholarly journals Applied convolutional neural network framework for tagging healthcare systems in crowd protest environment

2021 ◽  
Vol 18 (6) ◽  
pp. 8727-8757
Author(s):  
Gaurav Tripathi ◽  
◽  
Kuldeep Singh ◽  
Dinesh Kumar Vishwakarma ◽  
◽  
...  
Keyword(s):  
Healthcare Professionals ◽  
Smart Cities ◽  
Violent Behavior ◽  
Healthcare Systems ◽  
Normal Medium ◽  
Mass Gatherings ◽  
Smart Healthcare ◽  
The People ◽  
Percent Accuracy ◽  
Surveillance Mechanism

<abstract> <p>Healthcare systems constitute a significant portion of smart cities infrastructure. The aim of smart healthcare is two folds. The internal healthcare system has a sole focus on monitoring vital parameters of patients. The external systems provide proactive health care measures by the surveillance mechanism. This system utilizes the surveillance mechanism giving impetus to healthcare tagging requirements on the general public. The work exclusively deals with the mass gatherings and crowded places scenarios. Crowd gatherings and public places management is a vital challenge in any smart city environment. Protests and dissent are commonly observed crowd behavior. This behavior has the inherent capacity to transform into violent behavior. The paper explores a novel and deep learning-based method to provide an Internet of Things (IoT) environment-based decision support system for tagging healthcare systems for the people who are injured in crowd protests and violence. The proposed system is intelligent enough to classify protests into normal, medium and severe protest categories. The level of the protests is directly tagged to the nearest healthcare systems and generates the need for specialist healthcare professionals. The proposed system is an optimized solution for the people who are either participating in protests or stranded in such a protest environment. The proposed solution allows complete tagging of specialist healthcare professionals for all types of emergency response in specialized crowd gatherings. Experimental results are encouraging and have shown the proposed system has a fairly promising accuracy of more than eight one percent in classifying protest attributes and more than ninety percent accuracy for differentiating protests and violent actions. The numerical results are motivating enough for and it can be extended beyond proof of the concept into real time external surveillance and healthcare tagging.</p> </abstract>

scholarly journals BIG DATA ANALYTICS FOR SMART CLOUD-FOG BASED APPLICATIONS

2019 ◽  
Vol 2019 (02) ◽  
pp. 74-83 ◽  
Author(s):  
Dr. Robert Bestak ◽  
Dr. S. Smys
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
The Internet ◽  
Data Generation ◽  
Smart Healthcare ◽  
Proposed Model ◽  
Timely Access ◽  
Healthcare Application ◽  
Health Care Application

The internet connectivity extended by the internet of things to all the tangible things lying around and used by us in our day today life has convert the devices into smart objects and led to huge set of data generation that holds both the valuable and invaluable information. In order to perfectly handle the information’s generated and mine the valuables from them, the analytics are engaged by the cloud. To have a timely access, most probably the fog services are preferred than the cloud as they bring down the service of the cloud to the user edge and reduces the time complexity in accessing of the information. So the paper proposes the big data analytics for the fog assisted health care application to effectively handle the health information’s diagnosed for the aged persons. The proposed model is simulated using the IFogSim toolkit to examine the performance fogassisted smart healthcare application.

Security in Smart Healthcare System: A Comprehensive Survey

2017 ◽  
Vol 7 (10) ◽  
pp. 39
Author(s):  
P. Jeyadurga ◽  
S. Ebenezer Juliet ◽  
I. Joshua Selwyn ◽  
P. Sivanisha
Keyword(s):  
Secure Communication ◽  
Smart Cities ◽  
Healthcare Systems ◽  
Internet Security ◽  
Security Risk ◽  
System A ◽  
Smart Healthcare ◽  
Comprehensive Survey ◽  
Healthcare Monitoring ◽  
The Internet Of Things

The Internet of things (IoT) is one of the emerging technologies that brought revolution in many application domains such as smart cities, smart retails, healthcare monitoring and so on. As the physical objects are connected via internet, security risk may arise. This paper analyses the existing technologies and protocols that are designed by different authors to ensure the secure communication over internet. It additionally focuses on the advancement in healthcare systems while deploying IoT services.

scholarly journals Cancer patients’ information seeking behavior related to online electronic healthcare records

2021 ◽  
Vol 27 (3) ◽  
pp. 146045822110247
Author(s):  
Hanife Rexhepi ◽  
Isto Huvila ◽  
Rose-Mharie Åhlfeldt ◽  
Åsa Cajander
Keyword(s):  
Cancer Patients ◽  
Health Information ◽  
Information Seeking ◽  
Healthcare Professionals ◽  
Medical Information ◽  
Information Seeking Behavior ◽  
The Internet ◽  
Seeking Behavior ◽  
Information Horizons ◽  
Health Information Sources

Patients’ online access to their EHR together with the rapid proliferation of medical information on the Internet has changed how patients use information to learn about their health. Patients’ tendency to turn to the Internet to find information about their health and care is well-documented. However, little is known about patients’ information seeking behavior when using online EHRs. By using information horizons as an analytical tool this paper aims to investigate the information behavior of cancer patients who have chosen to view their EHRs (readers) and to those who have not made that option (non-readers). Thirty interviews were conducted with patients. Based on information horizons, it seems that non-reading is associated with living in a narrower information world in comparison to readers. The findings do not suggest that the smallness would be a result of active avoidance of information, or that it would be counterproductive for the patients. The findings suggest, however, that EHRs would benefit from comprehensive linking to authoritative health information sources to help users to understand their contents. In parallel, healthcare professionals should be more aware of their personal role as a key source of health information to those who choose not to read their EHRs.

Design and Analysis of a RFID Reader Microstrip Array antenna for IoT Applications in Smart Cities

2022 ◽  
Vol 17 (5) ◽  
pp. 0-0
Keyword(s):  
Smart Cities ◽  
Array Antenna ◽  
The Internet ◽  
Substrate Thickness ◽  
Iot Applications ◽  
Rfid Reader ◽  
Array Antennas ◽  
Microstrip Array ◽  
The Internet Of Things ◽  
Microstrip Array Antenna

This paper presents the design of 2*1 and 4*1 RFID reader microstrip array antenna at 2.4GHz for the Internet of things (IoT) networks which are Zigbee, Bluetooth and WIFI. The proposed antenna is composed of identical circular shapes radiating patches printed in FR4 substrate. The dielectric constant εr and substrate thickness h are 4.4 and 1.6mm, respectively. The 2*1 and 4*1 array antennas present a gain improvement of 27.3% and 61.9%, respectively. The single,2*1 and 4*1 array antennas were performed with CADFEKO.

scholarly journals Building Eminence through Evidence

2017 ◽  
Vol 2 (Suppl. 1) ◽  
pp. 1-9 ◽  
Author(s):  
Denis Horgan
Keyword(s):  
Healthcare Professionals ◽  
Personalised Medicine ◽  
Healthcare Systems ◽  
Fake News ◽  
Front Line ◽  
New Developments ◽  
New Methods ◽  
The Right ◽  
Do So ◽  
The Way

With modern-day medicine going the way it is - new developments, great science, the advent of personalised medicine and more - there's little doubt that healthcare can move in the right direction if everything is put in place to allow it to do so. But in many areas progress is being halted. Or at the very least slowed. Like it or not, many front-line healthcare professionals still do things the way they did things three decades ago, and are reluctant to adapt to new methods (assuming they are aware of them). Evidence exists that today's rapidly developing new medicines and treatments can positively influence healthcare in modern-day Europe, but a gap in education (also applying to patients and politicians), often exacerbated by “fake news” on the internet, is hampering uptake of new and often better methods, while even causing doubts about vaccines. More understanding at every level will inevitably lead to swifter integration of innovation into the healthcare systems of Europe. The time to look, listen and learn has come.

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