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)

11Management of Diabetes Mellitus (DM) for Children and Adults Based on Internet of Things (IoT)

Krishnakumar S.¹^*, Umashankar G.¹, Lumen Christy V.¹, Vikas¹ and Hemalatha R.J.²

¹Department of Biomedical Engineering, School of Bio and Chemical Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India

²Department of Biomedical Engineering, Vels Institute of Science, Technology & Advanced, Chennai, Tamilnadu, India

Abstract

Diabetes mellitus (DM) is a metabolic disorder described by hyperglycemia, because of imperfections in secretion or potential activity of insulin. Diabetes disorders are more common to all groups of people due to various factors. The concept of the study is to design and develop an assistant system for DM for children and adults using the Internet of Things (IoT). The prototype device contains microcontrollers to update the real parameters of the patients to the IoT cloud database. The sensors utilized here are the MAX30100 to gauge the SPO2 and the non-invasive glucose sensor used to quantify the blood glucose level and the temperature sensor used to gauge the constant temperature of the patients. The chatbot will transmit data to interact about the patient’s health conditions. An advanced assistive device to help manage diabetes in children and adults to regulate in their daily lives for better treatment. The main target of this project is to prevent children from harmful conditions of diabetes with help of technical things ...