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)

8Architecture of IoMT in Healthcare

A. Josephin Arockia Dhiyya

Department of Biomedical Engineering, Vels Institute of Science Technology and Advanced Studies, Chennai, India

Abstract

In today’s world, Internet of Medical Things plays a vital role in the healthcare industry. This paves a new way for transforming a unique platform for automation and processing techniques. E-health and M-health are being shaped in a better way. This technique is mainly helpful for medical engineers to integrate the Internet of Things with medicine. Regarding medical parameters, ECG sensors and other medical sensors are used to track a patient’s status, such as skin temperature, glucose, and blood pressure. It can also be transformed into wearable, such as activity trackers, garments, and watches. The device should be appropriately fabricated and then licensed by concerned authorities. IoMT also plays a vital role in remote monitoring systems for the elderly and the telemedicine process. Though the architecture of IoMT is complex, the processed data can be stored and analyzed. Major applications include assistive care using e-health and healthcare. The basic concept architecture involved is the information that will be tracked from the patient using sensors, and then, it will be processed using a smart device. The information will be stored and analyzed in the cloud. Then, it will be transmitted to the healthcare workers and family, etc. Further, IoMT has the advantage of expanding the research ...