Internet of things health sector
235443495
EVALUATION OF THE POTENTIAL OF THE INTERNET OF THINGS IN HEALTH SERVICES WITH MULTI CRITERIA DECISION MAKING METHODS
Background: With the technology developing all over the world, there is a transition period to the Industry 4.0 revolution in the field of health. The Internet of Things is one of the themes of Industry 4.0. Treatments applied in diseases have increased the use of health services with the increase in the world population. For this reason, there is a healthcare sector among the areas where the internet of things has turned into technology. Objectives: The impact of the Internet of Things potential on healthcare organizations is especially based on the reliability of patients and other institutions accessibility and sensitivity. It is very important to establish a correct and timely diagnosis and to start the treatment process in health institutions. The most important unit that is effective in providing these treatment processes is operating rooms. In this process, the integration of devices with internet technology and use by healthcare professionals provides more effective follow up of patients. Thus, it contributes to the treatment process. In this study, the internet transition of things in the health sector is examined. Methods: In this study, the analytical network process method was used. ANP method was used because of the interaction and feedback between the criteria. Results: The internet potential of things in health services was evaluated using the analytical network process method. The evaluation and the determining criteria are aimed to increase the efficiency of the operating rooms and hospitals.
Burak Yesilyurt Kubra Karakus Seyda Gur Tamer Eren
221966497
SECURED MEDICAL DATA TRANSMISSION MODEL FOR IoT (INTERNET of THINGS) BASED HEALTH CARE SYSTEMS
1Student, Dept. of ECE, A.K.R.G College of Engineering and Technology, JNTU Kakinada, AP, India 2Assistant Professor, Dept. of ECE, A.K.R.G College of Engineering and Technology, JNTU Kakinada, AP, India Abstract This project investigates an advancement of the Internet of Things (IoT) in the healthcare sector, the security, and the integrity of the medical data became big challenges for healthcare services applications. This paper proposes a hybrid security model for securing the diagnostic text data in medical images. The proposed model is developed through integrating either 2 D discrete wavelet transform 1 level (2DDWT 1L) or 2 D discrete wavelet transform 2 level (2D DWT2L) steganography technique with a proposed hybrid encryption scheme. Then it hides the result in a cover image using 2D DWT 1L or 2D DWT 2L. Both color and gray scale images are used as cover images to conceal different text sizes. The performance of the system was evaluated based on certain parameters.
Ch Hema Venkata Siva Sree K Anji Babu
235880938
The Role of the Internet of Things in Health Care: A Systematic and Comprehensive Study
The Internet of Things (IoT) is becoming an emerging trend and has significant potential to replace other technologies, where researchers consider it as the future of the internet. It has given tremendous support and become the building blocks in the development of important cyber physical systems and it is being severed in a variety of application domains, including healthcare. A methodological evolution of the Internet of Things, enabled it to extend to the physical world beyond the electronic world by connecting miscellaneous devices through the internet, thus making everything is connected. In recent years it has gained higher attention for its potential to alleviate the strain on the healthcare sector caused by the rising and aging population along with the increase in chronic diseases and global pandemics. This paper surveys about various usages of IoT healthcare technologies and reviews the state of the art services and applications, recent trends in IoT based healthcare solutions, and various challenges posed including security and privacy issues, which researchers, service providers and end users need to pay higher attention. Further, this paper discusses how innovative IoT enabled technologies like cloud computing, fog computing, blockchain, and big data can be used to leverage modern healthcare facilities and mitigate the burden on healthcare resources.
Navod Neranjan Thilakarathne Mohan Krishna Kagita Thippa Reddy Gadekallu
220259615
A Multi Modal Approach for Crop Health Mapping Using Low Altitude Remote Sensing, Internet of Things (IoT) and Machine Learning
The agriculture sector holds paramount importance in Pakistan due to the intrinsic agrarian nature of the economy. Pakistan has its GDP based on agriculture, however it relies on manual monitoring of crops, which is a labour intensive and ineffective method. In contrast to this, several cutting edge technology based solutions are being employed in the developed countries to enhance the crop yield with the optimal use of resources. To this end, we have proposed an integrated approach for monitoring crop health using IoT, machine learning and drone technology. The integration of these sensing modalities generate heterogeneous data which not only varies in nature (i.e. observed parameter) but also has different temporal fidelity. The spatial resolution of these methods is also different, hence, the optimal integration of these sensing modalities and their implementation in practice are addressed in the proposed system. In our proposed solution, the IoT sensors provide the real time status of environmental parameters impacting the crop, and the drone platform provide the multispectral data used for generating Vegetation Indices (VIs) such as Normalized Difference vegetation Index (NDVI) for analyzing the crop health. The NDVI provides information about the crop based on the chlorophyll content, which offers limited information regarding the crop health. In order to obtain a rich and detailed knowledge about crop health, the variable length time series data of IoT sensors and multispectral images were converted to a fixed sized representation to generate crop health maps. A number of machine and deep learning algorithms were applied on the collected data wherein deep neural network with two hidden layers was found to be the most optimal model among all the selected models, providing an accuracy of (98.4% Further, the health maps were validated through ground surveys and by agriculture experts due to the absence of reference data. The proposed research is basically an indigenous, technology based agriculture solution capable of providing important insights into the crop health by extracting complementary features from multi modal data set, and minimizing the crop ground survey effort, particularly useful when the agriculture land is large in size.
IEEE Access
Uferah Shafi Rafia Mumtaz Naveed Iqbal Syed Mohammad Hassan Zaidi Syed Ali Raza Zaidi Imtiaz Hussain Zahid Mahmood
219006814
Heart Attack Detection in Internet of Things: Modeling with Health Markov Game Theory
Introduction: With the advent of IoT, will see exciting developments in the 21st century. Although most IoT is related to future products, warehousing, and smart factories, it is not limited to these, and are seeing significant improvements in the health care sector, including Reducing lab room waiting times; Remote and surveillance; Ensure access and availability of critical hardware; Personnel, patients and inventory tracking; Advanced medical management; Chronic illness management. Objective: Design an intelligent system for IoT based technology. Proposed Methods: First: Combining Game Theory Model and Proposed Markov Model and Research Status by Reviewing Articles on IoT and Intelligent Systems for Myocardial Infarction and Finally, according to Research Results, Using Soft Engineering Method MATLAB software is used to complete the design of an intelligent system for cardiac diagnosis. The purpose of this simulation is to save time; reduce the problems, combine the strategies into the dominant and weak dominant strategies, and combine different heart diseases with the combined strategy. Results: Based on smart systems based on hybrid strategy technology combined with Markov model and game theory, the processes of diagnosing different diseases, especially myocardial infarction, blood disease design, as well as predicting all cardiovascular diseases It is simulated in software environment.
Marziyeh Bahrami Maysam Toghraee Atefeh Heidarian
208212080
An Internet of Things Based System Integrated with Blockchain to Manage Patient Data in the Healthcare Sector
Health is the biggest challenge to a majority of citizens regardless of age group and with the shortage of major components in the healthcare sector, life expectancy tends to reduce due to a lack of facilities. Technology on the other hand is reaching out to meet some of the demands that the healthcare will continuously require in order to deliver their services on time. One such technology is known as the internet of things (IoT) IoT has already proven its great potential towards the healthcare domain. IoT has the ability to allow patients to be monitored from the comfort of their homes through sensors equipped within devices deployed to perform specific tasks. The other technology is none other than the Blockchain which was introduced to deliver its capabilities in the financial ledger. The Blockchain helps to keep track of all the transactions being recorded, which in healthcare sector the need for Blockchain can be transformed to keep a trace of patient records. Since the IoT devices have the capability to monitor vital signs in the human body, it will be of a great achievement to integrate it with the Blockchain to keep an efficient system of healthcare records. The approach of this work is presented based on an Blockchained IoT system to improve challenges of storing patients' data captured by wearable IoT devices to help medical caregivers to make more informed decisions based on the efficient healthcare record keeping. The design science approach will be proposed in our research to run the full experiment of our work.
2019 Open Innovations (OI)
Mulalo Muofhe Nomusa Dlodlo Alfredo Terzoli
171091634
Internet of Things in the Healthcare Sector: Overview of Security and Privacy Issues
The Internet of Things (IoT) in health care is an emerging trend which provides a substantial amount of efficient and effective services for patients as well as healthcare professionals for the treatment of various diseases. Although the IoT paradigm offers numerous benefits, there are also inherent security and privacy challenges in relation to patient data. This chapter aims to investigate such security and privacy related issues of the IoT healthcare applications that often operate on Cloud and Fog Computing architectures. In this chapter, 30 peer reviewed publications from the years 2016 to 2018 are reviewed to construct a structured guide for the identification of related problems. Healthcare software applications, service architectures, patient data, and diverse sensory devices used are some of the factors considered for the collection of data, determination of related security and privacy issues, and implications of the said problems. Based on the factors, a comparison table is developed for analysis. Results show that most of these applications are used for remote patient care and monitoring. Furthermore, the results show that most threats occur due to unauthorized access to data, data breaches, and impersonation. Considering the IoT healthcare applications architecture (consisting of application, communication, device, network, and transport layers) we find that the device layer is the most affected layer regarding the security issues. Since most of the similar studies are limited to providing solutions regarding a specific aspect of security and privacy without considering the entire process, we have carried out additional research for a holistic approach to solve the bigger problem. We suggest that application developers should pay particular attention to these threats when designing IoT healthcare applications to provide secure and efficient applications to enhance the services within the healthcare sector. This study could be helpful to plan mitigation methodologies to conquer the inherent vulnerabilities in the IoT healthcare applications.
Security, Privacy and Trust in the IoT Environment
Suvini P Amaraweera Malka N Halgamuge
170036352
Internet of things linked wearable devices for managing food safety in the healthcare sector
Food hygiene and safety are critical in healthcare organisations where patients are vulnerable against diseases triggered by food prepared under improper conditions. In the UK, almost 400 healthcare institutions were found to need significant improvements to their food catering standards (Press Association, 2016) Such organisations still rely on traditional pen and paper based methods to record all food related parameters. This often leads to intentional or unintentional breaching of food standards and increases the endangerment on the health of both the vulnerable patients and other visitors. The complexity of the food supply chain makes it difficult for stakeholders to be aware of food safety issues such as cross contamination, time and temperature deviations, improper storage or waste management, in real time. However, using the Internet of Things (IoT) and wearable device concepts may resolve some of these issues by connecting the objects and stakeholders through a network. This chapter, therefore, explores the role and benefits of implementing these technologies to automate the process of collecting crucial food product processing and development data and their use for real time food safety in healthcare organisations, in hopes of eliminating food related health risks. It will also demonstrate how Hazard Analysis and Critical Control Point (HACCP) in food safety may be integrated into the healthcare food supply chain.
Farah Bader Sandeep Jagtap
195431520
A Compilation on Internet of Things in the Automotive Sector
The Internet of things is a conversion technology, which has possibility to apply in several areas through creating new designs with the smart manufacturing technology at the present time. This technology possesses a wide area of application in industrial automation, health, home automation, transportation and public services within the scope of supply chain. Studies and the results of those studies which are applied in the USA, Europe, Far East and Turkey and which concern the usage of Internet of things in automotive industry are examined in this study.
Aslihan Simsek
214705304
A Review on Security and Privacy Implications in the Implementation of Internet of Things (IoTs) in E Health
Internet of Things (IoT) promises to be a reliable technology for the future in different sectors including health. The health sector is one of the fields which is rapidly adopting IoT solutions with the aim to improve health care services; resulting to security vulnerabilities. This paper uses exploratory method with an objective to review various literature on application of IoTs in e health based on the latest publications and technologies available in the health sector. In addition analyze the various software platforms available in the field of IoT in e health. The literature on the security and privacy challenges and threats faced by the IoT in the health industry have also been explored. The results of this paper show that Energy Optimization, Denial of services, Physical attacks, Data manipulation, Trust and Privacy are key threats to the implementation of IoT in the health sector. The mitigation strategies to managing the identified security issues including trust and privacy challenges owing the level of data confidentiality required for healthcare organizations using IoT have been discussed.
Dorothy Bundi Masese B Nelson