{"product_id":"the-internet-of-medical-things-iomt-healthcare-transformation-hardback-9781119768838","title":"The Internet of Medical Things (IoMT); Healthcare Transformation (Hardback) 9781119768838","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eThe Internet of Medical Things (IoMT)\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eHealthcare Transformation\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eR. J. Hemalatha (Edited by), RJ Hemalatha (Author), D. Akila (Edited by), D. Balaganesh (Edited by), Anand Paul (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781119768838, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 29 March 2022\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e336 pages\u003cbr\u003e1 x 1 x 1 cm, 0.454 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cb\u003eINTERNET OF MEDICAL THINGS (IOMT)\u003c\/b\u003e \u003cp\u003e\u003cb\u003eProviding an essential addition to the reference material available in the field of IoMT, this timely publication covers a range of applied research on healthcare, biomedical data mining, and the security and privacy of health records.\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eWith their ability to collect, analyze and transmit health data, IoMT tools are rapidly changing healthcare delivery. For patients and clinicians, these applications are playing a central part in tracking and preventing chronic illnesses — and they are poised to evolve the future of care.  \u003c\/p\u003e\n\u003cp\u003eIn this book, the authors explore the potential applications of a wave of sensor-based tools—including wearables and stand-alone devices for remote patient monitoring—and the marriage of internet-connected medical devices with patient information that ultimately sets the IoMT ecosystem apart. \u003c\/p\u003e\n\u003cp\u003eThis book demonstrates the connectivity between medical devices and sensors is streamlining clinical workflow management and leading to an overall improvement in patient care, both inside care facilities and in remote locations.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 \u003ci\u003eIn Silico \u003c\/i\u003eMolecular Modeling and Docking Analysis in Lung Cancer Cell Proteins 1\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eManisha Sritharan and Asita Elengoe\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 2\u003c\/p\u003e \u003cp\u003e1.2 Methodology 4\u003c\/p\u003e \u003cp\u003e1.2.1 Sequence of Protein 4\u003c\/p\u003e \u003cp\u003e1.2.2 Homology Modeling 4\u003c\/p\u003e \u003cp\u003e1.2.3 Physiochemical Characterization 4\u003c\/p\u003e \u003cp\u003e1.2.4 Determination of Secondary Models 4\u003c\/p\u003e \u003cp\u003e1.2.5 Determination of Stability of Protein Structures 4\u003c\/p\u003e \u003cp\u003e1.2.6 Identification of Active Site 4\u003c\/p\u003e \u003cp\u003e1.2.7 Preparation of Ligand Model 5\u003c\/p\u003e \u003cp\u003e1.2.8 Docking of Target Protein and Phytocompound 5\u003c\/p\u003e \u003cp\u003e1.3 Results and Discussion 5\u003c\/p\u003e \u003cp\u003e1.3.1 Determination of Physiochemical Characters 5\u003c\/p\u003e \u003cp\u003e1.3.2 Prediction of Secondary Structures 7\u003c\/p\u003e \u003cp\u003e1.3.3 Verification of Stability of Protein Structures 7\u003c\/p\u003e \u003cp\u003e1.3.4 Identification of Active Sites 14\u003c\/p\u003e \u003cp\u003e1.3.5 Target Protein-Ligand Docking 14\u003c\/p\u003e \u003cp\u003e1.4 Conclusion 18\u003c\/p\u003e \u003cp\u003eReferences 18\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Medical Data Classification in Cloud Computing Using Soft Computing With Voting Classifier: A Review 23\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eSaurabh Sharma, Harish K. Shakya and Ashish Mishra\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 24\u003c\/p\u003e \u003cp\u003e2.1.1 Security in Medical Big Data Analytics 24\u003c\/p\u003e \u003cp\u003e2.1.1.1 Capture 24\u003c\/p\u003e \u003cp\u003e2.1.1.2 Cleaning 25\u003c\/p\u003e \u003cp\u003e2.1.1.3 Storage 25\u003c\/p\u003e \u003cp\u003e2.1.1.4 Security 26\u003c\/p\u003e \u003cp\u003e2.1.1.5 Stewardship 26\u003c\/p\u003e \u003cp\u003e2.2 Access Control–Based Security 27\u003c\/p\u003e \u003cp\u003e2.2.1 Authentication 27\u003c\/p\u003e \u003cp\u003e2.2.1.1 User Password Authentication 28\u003c\/p\u003e \u003cp\u003e2.2.1.2 Windows-Based User Authentication 28\u003c\/p\u003e \u003cp\u003e2.2.1.3 Directory-Based Authentication 28\u003c\/p\u003e \u003cp\u003e2.2.1.4 Certificate-Based Authentication 28\u003c\/p\u003e \u003cp\u003e2.2.1.5 Smart Card–Based Authentication 29\u003c\/p\u003e \u003cp\u003e2.2.1.6 Biometrics 29\u003c\/p\u003e \u003cp\u003e2.2.1.7 Grid-Based Authentication 29\u003c\/p\u003e \u003cp\u003e2.2.1.8 Knowledge-Based Authentication 29\u003c\/p\u003e \u003cp\u003e2.2.1.9 Machine Authentication 29\u003c\/p\u003e \u003cp\u003e2.2.1.10 One-Time Password (OTP) 30\u003c\/p\u003e \u003cp\u003e2.2.1.11 Authority 30\u003c\/p\u003e \u003cp\u003e2.2.1.12 Global Authorization 30\u003c\/p\u003e \u003cp\u003e2.3 System Model 30\u003c\/p\u003e \u003cp\u003e2.3.1 Role and Purpose of Design 31\u003c\/p\u003e \u003cp\u003e2.3.1.1 Patients 31\u003c\/p\u003e \u003cp\u003e2.3.1.2 Cloud Server 31\u003c\/p\u003e \u003cp\u003e2.3.1.3 Doctor 31\u003c\/p\u003e \u003cp\u003e2.4 Data Classification 32\u003c\/p\u003e \u003cp\u003e2.4.1 Access Control 32\u003c\/p\u003e \u003cp\u003e2.4.2 Content 33\u003c\/p\u003e \u003cp\u003e2.4.3 Storage 33\u003c\/p\u003e \u003cp\u003e2.4.4 Soft Computing Techniques for Data Classification 34\u003c\/p\u003e \u003cp\u003e2.5 Related Work 36\u003c\/p\u003e \u003cp\u003e2.6 Conclusion 42\u003c\/p\u003e \u003cp\u003eReferences 43\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Research Challenges in Pre-Copy Virtual Machine Migration in Cloud Environment 45\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eNirmala Devi N. and Vengatesh Kumar S.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 46\u003c\/p\u003e \u003cp\u003e3.1.1 Cloud Computing 46\u003c\/p\u003e \u003cp\u003e3.1.1.1 Cloud Service Provider 47\u003c\/p\u003e \u003cp\u003e3.1.1.2 Data Storage and Security 47\u003c\/p\u003e \u003cp\u003e3.1.2 Virtualization 48\u003c\/p\u003e \u003cp\u003e3.1.2.1 Virtualization Terminology 49\u003c\/p\u003e \u003cp\u003e3.1.3 Approach to Virtualization 50\u003c\/p\u003e \u003cp\u003e3.1.4 Processor Issues 51\u003c\/p\u003e \u003cp\u003e3.1.5 Memory Management 51\u003c\/p\u003e \u003cp\u003e3.1.6 Benefits of Virtualization 51\u003c\/p\u003e \u003cp\u003e3.1.7 Virtual Machine Migration 51\u003c\/p\u003e \u003cp\u003e3.1.7.1 Pre-Copy 52\u003c\/p\u003e \u003cp\u003e3.1.7.2 Post-Copy 52\u003c\/p\u003e \u003cp\u003e3.1.7.3 Stop and Copy 53\u003c\/p\u003e \u003cp\u003e3.2 Existing Technology and Its Review 54\u003c\/p\u003e \u003cp\u003e3.3 Research Design 56\u003c\/p\u003e \u003cp\u003e3.3.1 Basic Overview of VM Pre-Copy Live Migration 57\u003c\/p\u003e \u003cp\u003e3.3.2 Improved Pre-Copy Approach 58\u003c\/p\u003e \u003cp\u003e3.3.3 Time Series–Based Pre-Copy Approach 60\u003c\/p\u003e \u003cp\u003e3.3.4 Memory-Bound Pre-Copy Live Migration 62\u003c\/p\u003e \u003cp\u003e3.3.5 Three-Phase Optimization Method (TPO) 62\u003c\/p\u003e \u003cp\u003e3.3.6 Multiphase Pre-Copy Strategy 64\u003c\/p\u003e \u003cp\u003e3.4 Results 65\u003c\/p\u003e \u003cp\u003e3.4.1 Finding 65\u003c\/p\u003e \u003cp\u003e3.5 Discussion 69\u003c\/p\u003e \u003cp\u003e3.5.1 Limitation 69\u003c\/p\u003e \u003cp\u003e3.5.2 Future Scope 70\u003c\/p\u003e \u003cp\u003e3.6 Conclusion 70\u003c\/p\u003e \u003cp\u003eReferences 71\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Estimation and Analysis of Prediction Rate of Pre-Trained Deep Learning Network in Classification of Brain Tumor MRI Images 73\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eKrishnamoorthy Raghavan Narasu, Anima Nanda, Marshiana D., Bestley Joe and Vinoth Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 74\u003c\/p\u003e \u003cp\u003e4.2 Classes of Brain Tumors 75\u003c\/p\u003e \u003cp\u003e4.3 Literature Survey 76\u003c\/p\u003e \u003cp\u003e4.4 Methodology 78\u003c\/p\u003e \u003cp\u003e4.5 Conclusion 93\u003c\/p\u003e \u003cp\u003eReferences 95\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 An Intelligent Healthcare Monitoring System for Coma Patients 99\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eBethanney Janney J., T. Sudhakar, Sindu Divakaran, Chandana H. and Caroline Chriselda L.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 100\u003c\/p\u003e \u003cp\u003e5.2 Related Works 102\u003c\/p\u003e \u003cp\u003e5.3 Materials and Methods 104\u003c\/p\u003e \u003cp\u003e5.3.1 Existing System 104\u003c\/p\u003e \u003cp\u003e5.3.2 Proposed System 105\u003c\/p\u003e \u003cp\u003e5.3.3 Working 105\u003c\/p\u003e \u003cp\u003e5.3.4 Module Description 106\u003c\/p\u003e \u003cp\u003e5.3.4.1 Pulse Sensor 106\u003c\/p\u003e \u003cp\u003e5.3.4.2 Temperature Sensor 107\u003c\/p\u003e \u003cp\u003e5.3.4.3 Spirometer 107\u003c\/p\u003e \u003cp\u003e5.3.4.4 OpenCV (Open Source Computer Vision) 108\u003c\/p\u003e \u003cp\u003e5.3.4.5 Raspberry Pi 108\u003c\/p\u003e \u003cp\u003e5.3.4.6 USB Camera 109\u003c\/p\u003e \u003cp\u003e5.3.4.7 AVR Module 109\u003c\/p\u003e \u003cp\u003e5.3.4.8 Power Supply 109\u003c\/p\u003e \u003cp\u003e5.3.4.9 USB to TTL Converter 110\u003c\/p\u003e \u003cp\u003e5.3.4.10 EEG of Comatose Patients 110\u003c\/p\u003e \u003cp\u003e5.4 Results and Discussion 111\u003c\/p\u003e \u003cp\u003e5.5 Conclusion 116\u003c\/p\u003e \u003cp\u003eReferences 117\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Deep Learning Interpretation of Biomedical Data 121\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eT.R. Thamizhvani, R. Chandrasekaran and T.R. Ineyathendral\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 122\u003c\/p\u003e \u003cp\u003e6.2 Deep Learning Models 125\u003c\/p\u003e \u003cp\u003e6.2.1 Recurrent Neural Networks 125\u003c\/p\u003e \u003cp\u003e6.2.2 LSTM\/GRU Networks 127\u003c\/p\u003e \u003cp\u003e6.2.3 Convolutional Neural Networks 128\u003c\/p\u003e \u003cp\u003e6.2.4 Deep Belief Networks 130\u003c\/p\u003e \u003cp\u003e6.2.5 Deep Stacking Networks 131\u003c\/p\u003e \u003cp\u003e6.3 Interpretation of Deep Learning With Biomedical Data 132\u003c\/p\u003e \u003cp\u003e6.4 Conclusion 139\u003c\/p\u003e \u003cp\u003eReferences 140\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Evolution of Electronic Health Records 143\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eG. Umashankar, Abinaya P., J. Premkumar, T. Sudhakar and S. Krishnakumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 143\u003c\/p\u003e \u003cp\u003e7.2 Traditional Paper Method 144\u003c\/p\u003e \u003cp\u003e7.3 IoMT 144\u003c\/p\u003e \u003cp\u003e7.4 Telemedicine and IoMT 145\u003c\/p\u003e \u003cp\u003e7.4.1 Advantages of Telemedicine 145\u003c\/p\u003e \u003cp\u003e7.4.2 Drawbacks 146\u003c\/p\u003e \u003cp\u003e7.4.3 IoMT Advantages with Telemedicine 146\u003c\/p\u003e \u003cp\u003e7.4.4 Limitations of IoMT With Telemedicine 147\u003c\/p\u003e \u003cp\u003e7.5 Cyber Security 147\u003c\/p\u003e \u003cp\u003e7.6 Materials and Methods 147\u003c\/p\u003e \u003cp\u003e7.6.1 General Method 147\u003c\/p\u003e \u003cp\u003e7.6.2 Data Security 148\u003c\/p\u003e \u003cp\u003e7.7 Literature Review 148\u003c\/p\u003e \u003cp\u003e7.8 Applications of Electronic Health Records 150\u003c\/p\u003e \u003cp\u003e7.8.1 Clinical Research 150\u003c\/p\u003e \u003cp\u003e7.8.1.1 Introduction 150\u003c\/p\u003e \u003cp\u003e7.8.1.2 Data Significance and Evaluation 151\u003c\/p\u003e \u003cp\u003e7.8.1.3 Conclusion 151\u003c\/p\u003e \u003cp\u003e7.8.2 Diagnosis and Monitoring 151\u003c\/p\u003e \u003cp\u003e7.8.2.1 Introduction 151\u003c\/p\u003e \u003cp\u003e7.8.2.2 Contributions 152\u003c\/p\u003e \u003cp\u003e7.8.2.3 Applications 152\u003c\/p\u003e \u003cp\u003e7.8.3 Track Medical Progression 153\u003c\/p\u003e \u003cp\u003e7.8.3.1 Introduction 153\u003c\/p\u003e \u003cp\u003e7.8.3.2 Method Used 153\u003c\/p\u003e \u003cp\u003e7.8.3.3 Conclusion 154\u003c\/p\u003e \u003cp\u003e7.8.4 Wearable Devices 154\u003c\/p\u003e \u003cp\u003e7.8.4.1 Introduction 154\u003c\/p\u003e \u003cp\u003e7.8.4.2 Proposed Method 155\u003c\/p\u003e \u003cp\u003e7.8.4.3 Conclusion 155\u003c\/p\u003e \u003cp\u003e7.9 Results and Discussion 155\u003c\/p\u003e \u003cp\u003e7.10 Challenges Ahead 157\u003c\/p\u003e \u003cp\u003e7.11 Conclusion 158\u003c\/p\u003e \u003cp\u003eReferences 158\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Architecture of IoMT in Healthcare 161\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eA. Josephin Arockia Dhiyya\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 161\u003c\/p\u003e \u003cp\u003e8.1.1 On-Body Segment 162\u003c\/p\u003e \u003cp\u003e8.1.2 In-Home Segment 162\u003c\/p\u003e \u003cp\u003e8.1.3 Network Segment Layer 163\u003c\/p\u003e \u003cp\u003e8.1.4 In-Clinic Segment 163\u003c\/p\u003e \u003cp\u003e8.1.5 In-Hospital Segment 163\u003c\/p\u003e \u003cp\u003e8.1.6 Future of IoMT? 164\u003c\/p\u003e \u003cp\u003e8.2 Preferences of the Internet of Things 165\u003c\/p\u003e \u003cp\u003e8.2.1 Cost Decrease 165\u003c\/p\u003e \u003cp\u003e8.2.2 Proficiency and Efficiency 165\u003c\/p\u003e \u003cp\u003e8.2.3 Business Openings 165\u003c\/p\u003e \u003cp\u003e8.2.4 Client Experience 166\u003c\/p\u003e \u003cp\u003e8.2.5 Portability and Nimbleness 166\u003c\/p\u003e \u003cp\u003e8.3 loMT Progress in COVID-19 Situations: Presentation 167\u003c\/p\u003e \u003cp\u003e8.3.1 The IoMT Environment 168\u003c\/p\u003e \u003cp\u003e8.3.2 IoMT Pandemic Alleviation Design 169\u003c\/p\u003e \u003cp\u003e8.3.3 Man-Made Consciousness and Large Information Innovation in IoMT 170\u003c\/p\u003e \u003cp\u003e8.4 Major Applications of IoMT 171\u003c\/p\u003e \u003cp\u003eReferences 172\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Performance Assessment of IoMT Services and Protocols 173\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eA. Keerthana and Karthiga\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 174\u003c\/p\u003e \u003cp\u003e9.2 IoMT Architecture and Platform 175\u003c\/p\u003e \u003cp\u003e9.2.1 Architecture 176\u003c\/p\u003e \u003cp\u003e9.2.2 Devices Integration Layer 177\u003c\/p\u003e \u003cp\u003e9.3 Types of Protocols 177\u003c\/p\u003e \u003cp\u003e9.3.1 Internet Protocol for Medical IoT Smart Devices 177\u003c\/p\u003e \u003cp\u003e9.3.1.1 HTTP 178\u003c\/p\u003e \u003cp\u003e9.3.1.2 Message Queue Telemetry Transport (MQTT) 179\u003c\/p\u003e \u003cp\u003e9.3.1.3 Constrained Application Protocol (CoAP) 180\u003c\/p\u003e \u003cp\u003e9.3.1.4 AMQP: Advanced Message Queuing Protocol (AMQP) 181\u003c\/p\u003e \u003cp\u003e9.3.1.5 Extensible Message and Presence Protocol (XMPP) 181\u003c\/p\u003e \u003cp\u003e9.3.1.6 DDS 183\u003c\/p\u003e \u003cp\u003e9.4 Testing Process in IoMT 183\u003c\/p\u003e \u003cp\u003e9.5 Issues and Challenges 185\u003c\/p\u003e \u003cp\u003e9.6 Conclusion 185\u003c\/p\u003e \u003cp\u003eReferences 185\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Performance Evaluation of Wearable IoT-Enabled Mesh Network for Rural Health Monitoring 187\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eG. Merlin Sheeba and Y. Bevish Jinila\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 188\u003c\/p\u003e \u003cp\u003e10.2 Proposed System Framework 190\u003c\/p\u003e \u003cp\u003e10.2.1 System Description 190\u003c\/p\u003e \u003cp\u003e10.2.2 Health Monitoring Center 192\u003c\/p\u003e \u003cp\u003e10.2.2.1 Body Sensor 192\u003c\/p\u003e \u003cp\u003e10.2.2.2 Wireless Sensor Coordinator\/Transceiver 192\u003c\/p\u003e \u003cp\u003e10.2.2.3 Ontology Information Center 195\u003c\/p\u003e \u003cp\u003e10.2.2.4 Mesh Backbone-Placement and Routing 196\u003c\/p\u003e \u003cp\u003e10.3 Experimental Evaluation 200\u003c\/p\u003e \u003cp\u003e10.4 Performance Evaluation 201\u003c\/p\u003e \u003cp\u003e10.4.1 Energy Consumption 201\u003c\/p\u003e \u003cp\u003e10.4.2 Survival Rate 201\u003c\/p\u003e \u003cp\u003e10.4.3 End-to-End Delay 202\u003c\/p\u003e \u003cp\u003e10.5 Conclusion 204\u003c\/p\u003e \u003cp\u003eReferences 204\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Management of Diabetes Mellitus (DM) for Children and Adults Based on Internet of Things (IoT) 207\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eKrishnakumar S., Umashankar G., Lumen Christy V., Vikas and Hemalatha R.J.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 208\u003c\/p\u003e \u003cp\u003e11.1.1 Prevalence 209\u003c\/p\u003e \u003cp\u003e11.1.2 Management of Diabetes 209\u003c\/p\u003e \u003cp\u003e11.1.3 Blood Glucose Monitoring 210\u003c\/p\u003e \u003cp\u003e11.1.4 Continuous Glucose Monitors 211\u003c\/p\u003e \u003cp\u003e11.1.5 Minimally Invasive Glucose Monitors 211\u003c\/p\u003e \u003cp\u003e11.1.6 Non-Invasive Glucose Monitors 211\u003c\/p\u003e \u003cp\u003e11.1.7 Existing System 211\u003c\/p\u003e \u003cp\u003e11.2 Materials and Methods 212\u003c\/p\u003e \u003cp\u003e11.2.1 Artificial Neural Network 212\u003c\/p\u003e \u003cp\u003e11.2.2 Data Acquisition 213\u003c\/p\u003e \u003cp\u003e11.2.3 Histogram Calculation 213\u003c\/p\u003e \u003cp\u003e11.2.4 IoT Cloud Computing 214\u003c\/p\u003e \u003cp\u003e11.2.5 Proposed System 215\u003c\/p\u003e \u003cp\u003e11.2.6 Advantages 215\u003c\/p\u003e \u003cp\u003e11.2.7 Disadvantages 215\u003c\/p\u003e \u003cp\u003e11.2.8 Applications 216\u003c\/p\u003e \u003cp\u003e11.2.9 Arduino Pro Mini 216\u003c\/p\u003e \u003cp\u003e11.2.10 LM78XX 217\u003c\/p\u003e \u003cp\u003e11.2.11 MAX30100 218\u003c\/p\u003e \u003cp\u003e11.2.12 LM35 Temperature Sensors 218\u003c\/p\u003e \u003cp\u003e11.3 Results and Discussion 219\u003c\/p\u003e \u003cp\u003e11.4 Summary 222\u003c\/p\u003e \u003cp\u003e11.5 Conclusion 222\u003c\/p\u003e \u003cp\u003eReferences 223\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Wearable Health Monitoring Systems Using IoMT 225\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eJaya Rubi and A. Josephin Arockia Dhivya\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 225\u003c\/p\u003e \u003cp\u003e12.2 IoMT in Developing Wearable Health Surveillance System 226\u003c\/p\u003e \u003cp\u003e12.2.1 A Wearable Health Monitoring System with Multi-Parameters 227\u003c\/p\u003e \u003cp\u003e12.2.2 Wearable Input Device for Smart Glasses Based on a Wristband-Type Motion-Aware Touch Panel 228\u003c\/p\u003e \u003cp\u003e12.2.3 Smart Belt: A Wearable Device for Managing Abdominal Obesity 228\u003c\/p\u003e \u003cp\u003e12.2.4 Smart Bracelets: Automating the Personal Safety Using Wearable Smart Jewelry 228\u003c\/p\u003e \u003cp\u003e12.3 Vital Parameters That Can Be Monitored Using Wearable Devices 229\u003c\/p\u003e \u003cp\u003e12.3.1 Electrocardiogram 230\u003c\/p\u003e \u003cp\u003e12.3.2 Heart Rate 231\u003c\/p\u003e \u003cp\u003e12.3.3 Blood Pressure 232\u003c\/p\u003e \u003cp\u003e12.3.4 Respiration Rate 232\u003c\/p\u003e \u003cp\u003e12.3.5 Blood Oxygen Saturation 234\u003c\/p\u003e \u003cp\u003e12.3.6 Blood Glucose 235\u003c\/p\u003e \u003cp\u003e12.3.7 Skin Perspiration 236\u003c\/p\u003e \u003cp\u003e12.3.8 Capnography 238\u003c\/p\u003e \u003cp\u003e12.3.9 Body Temperature 239\u003c\/p\u003e \u003cp\u003e12.4 Challenges Faced in Customizing Wearable Devices 240\u003c\/p\u003e \u003cp\u003e12.4.1 Data Privacy 240\u003c\/p\u003e \u003cp\u003e12.4.2 Data Exchange 240\u003c\/p\u003e \u003cp\u003e12.4.3 Availability of Resources 241\u003c\/p\u003e \u003cp\u003e12.4.4 Storage Capacity 241\u003c\/p\u003e \u003cp\u003e12.4.5 Modeling the Relationship Between Acquired Measurement and Diseases 242\u003c\/p\u003e \u003cp\u003e12.4.6 Real-Time Processing 242\u003c\/p\u003e \u003cp\u003e12.4.7 Intelligence in Medical Care 242\u003c\/p\u003e \u003cp\u003e12.5 Conclusion 243\u003c\/p\u003e \u003cp\u003eReferences 244\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Future of Healthcare: Biomedical Big Data Analysis and IoMT 247\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eTamiziniyan G. and Keerthana A.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 248\u003c\/p\u003e \u003cp\u003e13.2 Big Data and IoT in Healthcare Industry 250\u003c\/p\u003e \u003cp\u003e13.3 Biomedical Big Data Types 251\u003c\/p\u003e \u003cp\u003e13.3.1 Electronic Health Records 252\u003c\/p\u003e \u003cp\u003e13.3.2 Administrative and Claims Data 252\u003c\/p\u003e \u003cp\u003e13.3.3 International Patient Disease Registries 252\u003c\/p\u003e \u003cp\u003e13.3.4 National Health Surveys 253\u003c\/p\u003e \u003cp\u003e13.3.5 Clinical Research and Trials Data 254\u003c\/p\u003e \u003cp\u003e13.4 Biomedical Data Acquisition Using IoT 254\u003c\/p\u003e \u003cp\u003e13.4.1 Wearable Sensor Suit 254\u003c\/p\u003e \u003cp\u003e13.4.2 Smartphones 255\u003c\/p\u003e \u003cp\u003e13.4.3 Smart Watches 255\u003c\/p\u003e \u003cp\u003e13.5 Biomedical Data Management Using IoT 256\u003c\/p\u003e \u003cp\u003e13.5.1 Apache Spark Framework 257\u003c\/p\u003e \u003cp\u003e13.5.2 MapReduce 258\u003c\/p\u003e \u003cp\u003e13.5.3 Apache Hadoop 258\u003c\/p\u003e \u003cp\u003e13.5.4 Clustering Algorithms 259\u003c\/p\u003e \u003cp\u003e13.5.5 K-Means Clustering 259\u003c\/p\u003e \u003cp\u003e13.5.6 Fuzzy C-Means Clustering 260\u003c\/p\u003e \u003cp\u003e13.5.7 DBSCAN 261\u003c\/p\u003e \u003cp\u003e13.6 Impact of Big Data and IoMT in Healthcare 262\u003c\/p\u003e \u003cp\u003e13.7 Discussions and Conclusions 263\u003c\/p\u003e \u003cp\u003eReferences 264\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Medical Data Security Using Blockchain With Soft Computing Techniques: A Review 269\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eSaurabh Sharma, Harish K. Shakya and Ashish Mishra\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 270\u003c\/p\u003e \u003cp\u003e14.2 Blockchain 272\u003c\/p\u003e \u003cp\u003e14.2.1 Blockchain Architecture 272\u003c\/p\u003e \u003cp\u003e14.2.2 Types of Blockchain Architecture 273\u003c\/p\u003e \u003cp\u003e14.2.3 Blockchain Applications 274\u003c\/p\u003e \u003cp\u003e14.2.4 General Applications of the Blockchain 276\u003c\/p\u003e \u003cp\u003e14.3 Blockchain as a Decentralized Security Framework 277\u003c\/p\u003e \u003cp\u003e14.3.1 Characteristics of Blockchain 278\u003c\/p\u003e \u003cp\u003e14.3.2 Limitations of Blockchain Technology 280\u003c\/p\u003e \u003cp\u003e14.4 Existing Healthcare Data Predictive Analytics Using Soft Computing Techniques in Data Science 281\u003c\/p\u003e \u003cp\u003e14.4.1 Data Science in Healthcare 281\u003c\/p\u003e \u003cp\u003e14.5 Literature Review: Medical Data Security in Cloud Storage 281\u003c\/p\u003e \u003cp\u003e14.6 Conclusion 286\u003c\/p\u003e \u003cp\u003eReferences 287\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Electronic Health Records: A Transitional View 289\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eSrividhya G.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 289\u003c\/p\u003e \u003cp\u003e15.2 Ancient Medical Record, 1600 BC 290\u003c\/p\u003e \u003cp\u003e15.3 Greek Medical Record 291\u003c\/p\u003e \u003cp\u003e15.4 Islamic Medical Record 291\u003c\/p\u003e \u003cp\u003e15.5 European Civilization 292\u003c\/p\u003e \u003cp\u003e15.6 Swedish Health Record System 292\u003c\/p\u003e \u003cp\u003e15.7 French and German Contributions 293\u003c\/p\u003e \u003cp\u003e15.8 American Descriptions 293\u003c\/p\u003e \u003cp\u003e15.9 Beginning of Electronic Health Recording 297\u003c\/p\u003e \u003cp\u003e15.10 Conclusion 298\u003c\/p\u003e \u003cp\u003eReferences 298\u003c\/p\u003e \u003cp\u003eIndex 301\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer science [\u003ca title=\"See our other books on Computer science\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20science%20%5BUY%5D%22\"\u003eUY\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52430937227544,"sku":"9781119768838","price":140.19,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781119768838.jpg?v=1784765781","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/the-internet-of-medical-things-iomt-healthcare-transformation-hardback-9781119768838","provider":"Freshly Printed Books","version":"1.0","type":"link"}