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Article
Publication date: 1 April 2021

Kashmira Ganji and Sashikala Parimi

COVID-19 was indeed a global epidemic that revolutionized the way of life, especially health-care services. The way health care will be delivered will undergo a dramatic…

Abstract

Purpose

COVID-19 was indeed a global epidemic that revolutionized the way of life, especially health-care services. The way health care will be delivered will undergo a dramatic change in the future. The aim is to analyse the increasing usage of health care systems along with digital technology and IoT especially during pandemic.

Design Methodology Approach

This research paper deals with users’ perception and their recommendation status of IoT-based smart health-care monitoring devices based on their perception, experience and level of importance to enhance the quality of life. An effective artificial neural networking (ANN)-based predictive model is designed to classify the user’s perception of usage of IoT-based smart health-care monitoring wearables based on their experience and knowledge.

Findings

The model developed has 96.7% accuracy. Among the various predictors chosen as inputs for the model, the findings indicate that self-comfort and trusted data from the device are of high priority. The present study focused only on some common factors derived from previous studies.

Research Limitations Implications

Although the performance of the proposed system was noticed to be good, the size of the sample is also limited to a few responses. Implications for future research and practices are discussed.

Originality Value

This is a novel study that aims to develop an ANN model on analyzing the user’s perception of IoT-based smart health-care wearables with the effect of COVID-19 pandemic. This paper elaborates on the ongoing efforts to restart the health-care services for survivability in the new normal situations.

Details

Journal of Science and Technology Policy Management, vol. 13 no. 1
Type: Research Article
ISSN: 2053-4620

Keywords

Article
Publication date: 19 May 2022

Priyanka Kumari Bhansali, Dilendra Hiran and Kamal Gulati

The purpose of this paper is to secure health data collection and transmission (SHDCT). In this system, a native network consists of portable smart devices that interact…

Abstract

Purpose

The purpose of this paper is to secure health data collection and transmission (SHDCT). In this system, a native network consists of portable smart devices that interact with multiple gateways. It entails IoMT devices and wearables connecting to exchange sensitive data with a sensor node which performs the aggeration process and then communicates the data using a Fog server. If the aggregator sensor loses the connection from the Fog server, it will be unable to submit data directly to the Fog server. The node transmits encrypted information with a neighboring sensor and sends it to the Fog server integrated with federated learning, which encrypts data to the existing data. The fog server performs the operations on the measured data, and the values are stored in the local storage area and later it is updated to the cloud server.

Design/methodology/approach

SHDCT uses an Internet-of-things (IoT)-based monitoring network, making it possible for smart devices to connect and interact with each other. The main purpose of the monitoring network has been in the collection of biological data and additional information from mobile devices to the patients. The monitoring network is composed of three different types of smart devices that is at the heart of the IoT.

Findings

It has been addressed in this work how to design an architecture for safe data aggregation in heterogeneous IoT-federated learning-enabled wireless sensor networks (WSNs), which makes use of basic encoding and data aggregation methods to achieve this. The authors suggest that the small gateway node (SGN) captures all of the sensed data from the SD and uses a simple, lightweight encoding scheme and cryptographic techniques to convey the data to the gateway node (GWN). The GWN gets all of the medical data from SGN and ensures that the data is accurate and up to date. If the data obtained is trustworthy, then the medical data should be aggregated and sent to the Fog server for further processing. The Java programming language simulates and analyzes the proposed SHDCT model for deployment and message initiation. When comparing the SHDCT scheme to the SPPDA and electrohydrodynamic atomisation (EHDA) schemes, the results show that the SHDCT method performs significantly better. When compared with the SPPDA and EHDA schemes, the suggested SHDCT plan necessitates a lower communication cost. In comparison to EHDA and SPPDA, SHDCT achieves 4.72% and 13.59% less, respectively. When compared to other transmission techniques, SHDCT has a higher transmission ratio. When compared with EHDA and SPPDA, SHDCT achieves 8.47% and 24.41% higher transmission ratios, respectively. When compared with other ways it uses less electricity. When compared with EHDA and SPPDA, SHDCT achieves 5.85% and 18.86% greater residual energy, respectively.

Originality/value

In the health care sector, a series of interconnected medical devices collect data using IoT networks in the health care domain. Preventive, predictive, personalized and participatory care is becoming increasingly popular in the health care sector. Safe data collection and transfer to a centralized server is a challenging scenario. This study presents a mechanism for SHDCT. The mechanism consists of Smart healthcare IoT devices working on federated learning that link up with one another to exchange health data. Health data is sensitive and needs to be exchanged securely and efficiently. In the mechanism, the sensing devices send data to a SGN. This SGN uses a lightweight encoding scheme and performs cryptography techniques to communicate the data with the GWN. The GWN gets all the health data from the SGN and makes it possible to confirm that the data is validated. If the received data is reliable, then aggregate the medical data and transmit it to the Fog server for further process. The performance parameters are compared with the other systems in terms of communication costs, transmission ratio and energy use.

Details

International Journal of Pervasive Computing and Communications, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1742-7371

Keywords

Article
Publication date: 31 July 2020

Sanju Tiwari and Ajith Abraham

Health-care ontologies and their terminologies play a vital role in knowledge representation and data integration for health information. In health-care systems, Internet…

Abstract

Purpose

Health-care ontologies and their terminologies play a vital role in knowledge representation and data integration for health information. In health-care systems, Internet of Technology (IoT) technologies provide data exchange among various entities and ontologies offer a formal description to present the knowledge of health-care domains. These ontologies are advised to assure the quality of their adoption and applicability in the real world.

Design/methodology/approach

Ontology assessment is an integral part of ontology construction and maintenance. It is always performed to identify inconsistencies and modeling errors by the experts during the ontology development. A smart health-care ontology (SHCO) has been designed to deal with health-care information and IoT devices. In this paper, an integrated approach has been proposed to assess the SHCO on different assessment tools such as Themis, Test-Driven Development (TDD)onto, Protégé and OOPs! Several test cases are framed to assess the ontology on these tools, in this research, Themis and TDDonto tools provide the verification for the test cases while Protégé and OOPs! provides validation of modeled knowledge in the ontology.

Findings

As of the best knowledge, no other study has been presented earlier to conduct the integrated assessment on different tools. All test cases are successfully analyzed on these tools and results are drawn and compared with other ontologies.

Originality/value

The developed ontology is analyzed on different verification and validation tools to assure the quality of ontologies.

Details

International Journal of Web Information Systems, vol. 16 no. 4
Type: Research Article
ISSN: 1744-0084

Keywords

Article
Publication date: 16 December 2021

Bishwajit Nayak, Som Sekhar Bhattacharyya, Saurabh Kumar and Rohan Kumar Jumnani

The purpose of this study is to identify the major factors influencing the adoption of health-care wearables in generation Z (Gen Z) customers in India. A conceptual…

Abstract

Purpose

The purpose of this study is to identify the major factors influencing the adoption of health-care wearables in generation Z (Gen Z) customers in India. A conceptual framework using push pull and mooring (PPM) adoption theory was developed.

Design/methodology/approach

Data was collected from 208 Gen Z customers based on 5 constructs related to the adoption of health-care wearables. Confirmatory factor analysis and structural equation modelling was used to analyse the responses. The mediation paths were analysed using bootstrapping method and examination of the standardized direct and indirect effects in the model.

Findings

The study results indicated that the antecedent factors consisted of push (real-time health information availability), pull (normative environment) and mooring (decision self-efficacy) factors. The mooring factor (MOOR) was related to the push factor but not the pull factor. The MOOR, in turn, was related to the switching intention of Gen Z customers for health wearables adoption.

Research limitations/implications

The research study extended the literature related to the PPM theory in the context of the adoption of health wearables among Gen Z customers in India.

Practical implications

The study outcome would enable managers working in health wearable organizations to understand consumer behaviour towards health wearables.

Social implications

The use of health wearables among Gen Z individuals would lead to future generations adopting a healthy lifestyle resulting in an effective workforce and better economy.

Originality/value

This was one of the few studies which have explored the PPM theory to explore the factors for the adoption of health wearables among Gen Z customers in India.

Details

Journal of Information, Communication and Ethics in Society, vol. 20 no. 1
Type: Research Article
ISSN: 1477-996X

Keywords

Article
Publication date: 10 August 2020

Magesh S., Niveditha V.R., Rajakumar P.S., Radha RamMohan S. and Natrayan L.

The current and on-going coronavirus (COVID-19) has disrupted many human lives all over the world and seems very difficult to confront this global crisis as the infection…

Abstract

Purpose

The current and on-going coronavirus (COVID-19) has disrupted many human lives all over the world and seems very difficult to confront this global crisis as the infection is transmitted by physical contact. As no vaccine or medical treatment made available till date, the only solution is to detect the COVID-19 cases, block the transmission, isolate the infected and protect the susceptible population. In this scenario, the pervasive computing becomes essential, as it is environment-centric and data acquisition via smart devices provides better way for analysing diseases with various parameters.

Design/methodology/approach

For data collection, Infrared Thermometer, Hikvision’s Thermographic Camera and Acoustic device are deployed. Data-imputation is carried out by principal component analysis. A mathematical model susceptible, infected and recovered (SIR) is implemented for classifying COVID-19 cases. The recurrent neural network (RNN) with long-term short memory is enacted to predict the COVID-19 disease.

Findings

Machine learning models are very efficient in predicting diseases. In the proposed research work, besides contribution of smart devices, Artificial Intelligence detector is deployed to reduce false alarms. A mathematical model SIR is integrated with machine learning techniques for better classification. Implementation of RNN with Long Short Term Memory (LSTM) model furnishes better prediction holding the previous history.

Originality/value

The proposed research collected COVID −19 data using three types of sensors for temperature sensing and detecting the respiratory rate. After pre-processing, 300 instances are taken for experimental results considering the demographic features: Sex, Patient Age, Temperature, Finding and Clinical Trials. Classification is performed using SIR mode and finally predicted 188 confirmed cases using RNN with LSTM model.

Details

International Journal of Pervasive Computing and Communications, vol. 16 no. 5
Type: Research Article
ISSN: 1742-7371

Keywords

Open Access
Article
Publication date: 17 October 2019

Sherali Zeadally, Farhan Siddiqui, Zubair Baig and Ahmed Ibrahim

The aim of this paper is to identify some of the challenges that need to be addressed to accelerate the deployment and adoption of smart health technologies for ubiquitous…

20741

Abstract

Purpose

The aim of this paper is to identify some of the challenges that need to be addressed to accelerate the deployment and adoption of smart health technologies for ubiquitous healthcare access. The paper also explores how internet of things (IoT) and big data technologies can be combined with smart health to provide better healthcare solutions.

Design/methodology/approach

The authors reviewed the literature to identify the challenges which have slowed down the deployment and adoption of smart health.

Findings

The authors discussed how IoT and big data technologies can be integrated with smart health to address some of the challenges to improve health-care availability, access and costs.

Originality/value

The results of this paper will help health-care designers, professionals and researchers design better health-care information systems.

Details

PSU Research Review, vol. 4 no. 2
Type: Research Article
ISSN: 2399-1747

Keywords

Article
Publication date: 17 October 2018

Mamata Rath and Binod Pattanayak

With the development of emerging engineering technology and industrialization, there are greater changes in the life style of people in smart urban cities; therefore…

Abstract

Purpose

With the development of emerging engineering technology and industrialization, there are greater changes in the life style of people in smart urban cities; therefore, there is also more chance of various health problems in urban areas. The life style of persons in metro urban areas with the expansive volume of population is similarly influenced by different application and administration frameworks. These are affecting the human health system up to an extended extent and there are more health-related issues and health hazard concerns that can be identified in urban areas. The purpose of this paper is to present an analytical study on various aspects of the smart health care system in a smart perspective by analyzing them with respect to emerging engineering technologies such as mobile network, cloud computing, Internet of Things (IoT), big data analytics and ubiquitous computing. This paper also carries out a detailed survey of health issues and improved solutions in automated systems using these technologies. Second, the paper also presents a novel health care system using smart and safe ambulances and their appropriate control at traffic points with safety and security features in a smart city, so that the valuable life of patients can be saved in time by immediate treatment in nearest hospital or health care units.

Design/methodology/approach

In this paper, an analytical survey was conducted for improvement in the health care sector using computer technology and IoT-based various modern health care applications. An idea of Smart Health Care Hospital using sensors, mobile agent smart vehicle configuration and safety traffic control for ambulance was proposed.

Findings

A simulation was carried out to see the performance of a safety mechanism in the proposed approach. Comparative analysis was carried out with other approaches to know the execution time, response time and probable delay due to the implementation of this approach.

Originality/value

It is an original research work with motivation inspired from current emergent technology to apply in the health care system.

Details

International Journal of Human Rights in Healthcare, vol. 12 no. 2
Type: Research Article
ISSN: 2056-4902

Keywords

Article
Publication date: 17 August 2021

Hongjoo Woo and Sanghee Kim

The purpose of this study is to examine the effects of brand and message framing on consumers’ evaluations and purchase intentions of smart health-care clothing. The study…

Abstract

Purpose

The purpose of this study is to examine the effects of brand and message framing on consumers’ evaluations and purchase intentions of smart health-care clothing. The study also examines the mediating effect of consumers’ evaluations on the effects of the brand and message framing on purchase intentions.

Design/methodology/approach

Through an experimental approach, a total of 240 US consumers’ evaluation of smart health-care clothing is compared according to the existence of a well-known brand (vs. none) and message framing (technology-focused vs. fashion-focused).

Findings

The results show that consumer evaluation of smart health-care clothing is higher when the product is from a well-known brand, where consumers’ fashion consciousness and health consciousness positively influence such an evaluation as covariates. Message framing, however, did not have an influence that revealed any significant difference between technology-focused and fashion-focused messages. The consumer’s evaluation of smart health-care clothing eventually increased their purchase intentions and mediated the effects of brand on purchase intentions.

Originality/value

Smart health-care clothing refers to clothing that measures, records and manages the user’s activity and health status through conductive fibers or sensors that are woven in the clothes. Despite its benefits, smart health-care clothing is still not widely adopted among consumers, except for a few successful examples. Closing this gap, the results of this study provide implications regarding whether and how brand and message framing maximize consumers’ evaluations toward smart health-care clothing, which the developers and marketers of such products can use to increase the product’s market penetration.

Details

Journal of Product & Brand Management, vol. 31 no. 4
Type: Research Article
ISSN: 1061-0421

Keywords

Article
Publication date: 1 March 2021

Zhihao Yu, Liang Song, Linhua Jiang and Omid Khold Sharafi

Security is the most important issue in Internet of Things (IoT)-based smart cities and blockchain (BC). So, the present paper aims to detect and organize the literature…

Abstract

Purpose

Security is the most important issue in Internet of Things (IoT)-based smart cities and blockchain (BC). So, the present paper aims to detect and organize the literature regarding security in the IoT-based smart cities and BC context. It also proposes an agenda for future research. Therefore, the authors did a statistical review of security in IoT and BC in smart cities. The present investigation aims to determine the principal challenges and disturbances in IoT because of the BC adoption, the central BC applications in IoT-based smart cities and the BC future in IoT-based smart cities.

Design/methodology/approach

IoT) has a notable influence on modernizing and transforming the society and industry for knowledge digitizing. Therefore, it may be perceived and operated in real time. The IoT is undergoing exponential development in industry and investigation. Still, it contains some security and privacy susceptibilities. Naturally, the research community pays attention to the security and privacy of the IoT. Also, the academic community has put a significant focus on BC as a new security project. In the present paper, the significant mechanisms and investigations in BC ground have been checked out systematically because of the significance of security in the IoT and BC in smart cities. Electronic databases were used to search for keywords. Totally, based on different filters, 131 papers have been gained, and 17 related articles have been obtained and analyzed. The security mechanisms of BC in IoT-based smart cities have been ranked into three main categories as follows, smart health care, smart home and smart agriculture.

Findings

The findings showed that BC’s distinctive technical aspects might impressively find a solution for privacy and security problems encountering the IoT-based smart cities development. They also supply distributed storage, transparency, trust and other IoT support to form a valid, impressive and secure distributed IoT network and provide a beneficial guarantee for IoT-based smart city users’ security and privacy.

Research limitations/implications

The present investigation aims to be comprehensive, but some restrictions were also observed. Owing to the use of some filters for selecting the original papers, some complete works may be excluded. Besides, inspecting the total investigations on the security topic in BC and the IoT-based smart cities is infeasible. Albeit, the authors attempt to introduce a complete inspection of the security challenges in BC and the IoT-based smart cities. BC includes significant progress and innovation in the IoT-based smart cities’ security domain as new technology. Still, it contains some deficiencies as well. Investigators actively encounter the challenges and bring up persistent innovation and inspection of related technologies in the vision of the issues available in diverse application scenarios.

Practical implications

The use of BC technology in finding a solution for the security issues of the IoT-based smart cities is a research hotspot. There is numerable literature with data and theoretical support despite the suggestion of numerous relevant opinions. Therefore, this paper offers insights into how findings may guide practitioners and researchers in developing appropriate security systems dependent upon the features of IoT-based smart city systems and BC. This paper may also stimulate further investigation on the challenge of security in BC and IoT-based smart cities. The outcomes will be of great value for scholars and may supply sights into future investigation grounds in the present field.

Originality/value

As the authors state according to their knowledge, it is the first work using security challenges on BC and IoT-based smart cities. The literature review shows that few papers discuss how solving security issues in the IoT-based smart cities can benefit from the BC. The investigation suggests a literature review on the topic, recommending some thoughts on using security tools in the IoT-based smart cities. The present investigation helps organizations plan to integrate IoT and BC to detect the areas to focus. It also assists in better resource planning for the successful execution of smart technologies in their supply chains.

Details

Kybernetes, vol. 51 no. 1
Type: Research Article
ISSN: 0368-492X

Keywords

Book part
Publication date: 21 January 2022

Ayşe Dilşad Yakut

The Fourth Industrial Revolution has revealed some emerging concepts and technologies. In the framework of Industry 4.0, the Internet of things (IoT) is one of the key…

Abstract

The Fourth Industrial Revolution has revealed some emerging concepts and technologies. In the framework of Industry 4.0, the Internet of things (IoT) is one of the key concepts as well as an evolving paradigm that creates opportunities of integration between the things and the physical world which has an unprecedented influence in our lives, particularly in the lives of those with disabilities. It is a groundbreaking way of providing independent living opportunities to individuals with disabilities, such as academic and learning aids (e.g. computer-based software, portable word processors), communication aids (e.g. captioning devices, smart glasses, augmentative communication devices), mobility aids (e.g. smart canes, smart wheelchairs), and smart systems (e.g. smart home, smart city, smart workplace), which increase the amount of their participation in the society, thus, empowering individuals with disabilities. This chapter aims to present the IoT technologies for individuals with disabilities and consists of five sections. The first section presents background information about the IoT and how it relates to individuals with disabilities. The second section introduces key technologies and applications that drive the IoT concept of Industry 4.0 in terms of the subject of disability in five domains which are mobility, smart environments, monitoring, communication, and education. The third section illustrates the importance of the IoT technologies and its relevance to the universal approach. The fourth section presents the implications of global business and implications of COVID-19 for IoT technologies. Finally, the chapter concludes with suggestions.

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