book

The Internet of Medical Things (IoMT)

by R. J. Hemalatha, D. Akila, D. Balaganesh, Anand Paul

March 2022

Intermediate to advanced

336 pages

8h 27m

English

Wiley-Scrivener

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1.1 Introduction1.2 Methodology1.3 Results and Discussion1.4 ConclusionReferences
2.1 Introduction2.2 Access Control–Based Security2.3 System Model2.4 Data Classification2.5 Related Work2.6 ConclusionReferences
3.1 Introduction3.2 Existing Technology and Its Review3.3 Research Design3.4 Results3.5 Discussion3.6 ConclusionReferences
4.1 Introduction4.2 Classes of Brain Tumors4.3 Literature Survey4.4 Methodology4.5 ConclusionReferences
5.1 Introduction5.2 Related Works5.3 Materials and Methods5.4 Results and Discussion5.5 ConclusionReferences
6.1 Introduction6.2 Deep Learning Models6.3 Interpretation of Deep Learning With Biomedical Data6.4 ConclusionReferences

7.1 Introduction7.2 Traditional Paper Method7.3 IoMT7.4 Telemedicine and IoMT7.5 Cyber Security7.6 Materials and Methods7.7 Literature Review7.8 Applications of Electronic Health Records7.9 Results and Discussion7.10 Challenges Ahead7.11 ConclusionReferences
8.1 Introduction8.2 Preferences of the Internet of Things8.3 IoMT Progress in COVID-19 Situations: Presentation8.4 Major Applications of IoMTReferences
9.1 Introduction9.2 IoMT Architecture and Platform9.3 Types of Protocols9.4 Testing Process in IoMT9.5 Issues and Challenges9.6 ConclusionReferences
10.1 Introduction10.2 Proposed System Framework10.3 Experimental Evaluation10.4 Performance Evaluation10.5 ConclusionReferences
11.1 Introduction11.2 Materials and Methods11.3 Results and Discussion11.4 Summary11.5 ConclusionReferences
12.1 Introduction12.2 IoMT in Developing Wearable Health Surveillance System12.3 Vital Parameters That Can Be Monitored Using Wearable Devices12.4 Challenges Faced in Customizing Wearable Devices12.5 ConclusionReferences
13.1 Introduction13.2 Big Data and IoT in the Healthcare Industry13.3 Biomedical Big Data Types13.4 Biomedical Data Acquisition Using IoT13.5 Biomedical Data Management Using IoT13.6 Impact of Big Data and IoMT in Healthcare13.7 Discussions and ConclusionsReferences
14.1 Introduction14.2 Blockchain14.3 Blockchain as a Decentralized Security Framework14.4 Existing Healthcare Data Predictive Analytics Using Soft Computing Techniques in Data Science14.5 Literature Review: Medical Data Security in Cloud Storage14.6 ConclusionReferences
15.1 Introduction15.2 Ancient Medical Record, 1600 BC15.3 Greek Medical Record15.4 Islamic Medical Record15.5 European Civilization15.6 Swedish Health Record System15.7 French and German Contributions15.8 American Descriptions15.9 Beginning of Electronic Health Recording15.10 ConclusionReferences

Content preview from The Internet of Medical Things (IoMT)

14Medical Data Security Using Blockchain With Soft Computing Techniques: A Review

Saurabh Sharma¹^*, Harish K. Shakya¹ and Ashish Mishra²

¹Dept. of CSE, Amity School of Engineering & Technology, Amity University (M.P.), Gwalior, India

²Department of CSE, Gyan Ganga Institute of Technology and Sciences, Jabalpur, India

Abstract

Medicinal services and genomics are the absolute most significant sorts of information for cross-organization prescient displaying that appraisal understanding results by dissecting watched information and producing logical proof utilizing information from different establishments. Records are stored in different hospital’s databases; therefore, it is difficult to construct a summarized EMR (Electronic Medical Record) for one patient from multiple hospital databases due to the security and privacy concerns. Blockchain technology and the Cloud environment have proved their usability separately. These two technologies can be combined to enhance the exciting applications in healthcare industry. Blockchain is a highly secure and decentralized networking platform of multiple computers called nodes. To solve the above problems, we proposed a Blockchain-based information management system to handle medical information security. In this paper, we investigated privacy issues and privacy protection issue within cloud computing. The proposed framework ensures data privacy, integrity, and grained access control over the shared data with better efficiency. The proposed ...