Contributors |
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xiii | |
Foreword |
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xvii | |
Preface |
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xix | |
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Chapter 1 Internet of Things, Smart Sensors, and Pervasive Systems: Enabling Connected and Pervasive Healthcare |
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1 | (58) |
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Pijush Kanti Dutta Pramanik |
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2 | (1) |
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2 IoT, Smart Sensors, and Pervasive Computing |
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3 | (5) |
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3 | (1) |
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2.2 Smart Sensors Augmenting the IoT |
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4 | (1) |
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5 | (1) |
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2.4 Difference Between Pervasive Systems and IoT |
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6 | (1) |
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2.5 IoT and Pervasive Systems: Complementing Each Other |
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6 | (2) |
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3 Challenges in Traditional Healthcare Systems |
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8 | (1) |
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4 Mobile and Pervasive Healthcare |
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9 | (5) |
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4.1 Context-Awareness in Healthcare |
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10 | (1) |
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11 | (1) |
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4.3 Pervasive Healthcare Vs Telemedicine |
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11 | (3) |
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5 Role of IoT in Healthcare |
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14 | (1) |
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14 | (1) |
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14 | (1) |
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5.3 IoT and Medical Robotics |
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14 | (1) |
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6 Different Healthcare Sensors |
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15 | (13) |
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15 | (10) |
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6.2 Other Sensors Used in Medical Care Units |
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25 | (1) |
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6.3 Different Fitness Devices |
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26 | (2) |
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7 Benefits of Connected Healthcare |
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28 | (3) |
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8 Challenges in Connected Healthcare |
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31 | (3) |
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9 Healthcare Applications of Smart Sensors and IoT |
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34 | (6) |
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36 | (1) |
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36 | (1) |
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9.3 Coronary Artery Disease and IoT |
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37 | (1) |
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9.4 Personalized Medical Care |
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38 | (1) |
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38 | (1) |
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9.6 Cardiac Rhythm Monitoring |
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39 | (1) |
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9.7 Cardiac Rehabilitation |
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39 | (1) |
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9.8 Handling COPD Problems |
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40 | (1) |
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9.9 Smart Contact Lens for Diabetics |
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40 | (1) |
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40 | (4) |
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10.1 Mississippi Blood Service: Maintaining Logistics Smartly |
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40 | (1) |
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10.2 Finding Treatment for COPD |
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41 | (1) |
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10.3 Lahey Clinic Medical Center: Tracking Healthcare Equipment in Real-Time |
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41 | (2) |
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10.4 Irin General Hospital: Improving Healthcare Quality |
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43 | (1) |
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10.5 Jefferson University Hospital: Providing Cognitive Environment of Care |
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43 | (1) |
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11 The IoT Healthcare Market: Present and Future |
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44 | (7) |
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51 | (1) |
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51 | (1) |
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51 | (8) |
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Chapter 2 Migration of Healthcare Relational Database to NoSQL Cloud Database for Healthcare Analytics and Management |
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59 | (30) |
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60 | (6) |
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61 | (1) |
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1.2 Data Migration Techniques |
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61 | (1) |
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1.3 Analysis of Data Migration Techniques for Healthcare |
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62 | (1) |
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1.4 Need for Data Migration from Schema to Schemaless Databases |
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63 | (2) |
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1.5 Challenges of Healthcare Data Migration from Relational to NoSQL Cloud Database |
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65 | (1) |
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2 NoSQL Cloud-Based Technology for Healthcare |
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66 | (3) |
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2.1 Technology Background of NoSQL Cloud-Based Databases for Healthcare |
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66 | (2) |
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2.2 Applications of NoSQL Cloud-Based Technology in Healthcare |
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68 | (1) |
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3 Cloud-Based Databases for Healthcare |
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69 | (3) |
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3.1 Cloud-Based Database Architecture |
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69 | (1) |
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3.2 Technology/Services Used for Storage and Retrieval of Cloud Databases |
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69 | (1) |
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3.3 Analysis of Cloud Databases for Healthcare |
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70 | (1) |
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3.4 Applications of Cloud Databases for Healthcare |
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70 | (1) |
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3.5 Challenges in Accessing Cloud Databases for Healthcare |
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70 | (2) |
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4 Relational Database of Healthcare to NoSQL Cloud Databases |
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72 | (12) |
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4.1 General Guidelines Involved in Migration from SQL to NoSQL Databases |
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72 | (1) |
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4.2 Data Migration Tools for SQL to NoSQL Databases |
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73 | (11) |
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4.3 System Properties Comparison Among Data Migration Tools |
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84 | (1) |
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84 | (1) |
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85 | (2) |
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87 | (2) |
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Chapter 3 Developing a Decision Support System for Big Data Analysis and Cost Allocation in National Healthcare |
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89 | (22) |
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89 | (2) |
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91 | (3) |
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3 Mathematical Model for Cost Allocation |
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94 | (4) |
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98 | (7) |
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105 | (1) |
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6 Conclusions and Future Work |
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106 | (1) |
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107 | (4) |
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Chapter 4 Securing Large Datasets Involving Fast-Performing Key Bunch Matrix Block Cipher |
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111 | (22) |
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111 | (2) |
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2 Database Security Threats |
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113 | (1) |
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3 Database Security Measures Adopted Worldwide |
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114 | (4) |
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4 Development of the Fast Dataset Block Cipher |
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118 | (4) |
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5 Illustration and the Outcomes |
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122 | (4) |
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6 Simulation Set-Up and Performance Analysis |
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126 | (2) |
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128 | (2) |
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8 Conclusions and Future Scope |
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130 | (1) |
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131 | (1) |
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132 | (1) |
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Chapter 5 Comparative Analysis of Semantic Frameworks in Healthcare |
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133 | (22) |
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136 | (6) |
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2.1 Data, Information, and Knowledge |
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136 | (1) |
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2.2 Semantic Web Overview |
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137 | (1) |
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2.3 Linked Data Principles |
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138 | (1) |
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2.4 RDF: Healthcare Information Representation |
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138 | (1) |
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2.5 SPARQL (SPARQL Protocol and RDF Query Language) |
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139 | (1) |
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2.6 Role of RDF and SPARQL in Semantic Healthcare |
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140 | (1) |
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140 | (1) |
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2.8 Introduction to Multiagent Systems in Semantic Healthcare |
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141 | (1) |
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3 Healthcare Semantic Frameworks and Software |
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142 | (5) |
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3.1 Healthcare Semantic Frameworks |
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142 | (4) |
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3.2 Role of Existing Semantic Software in Healthcare |
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146 | (1) |
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147 | (5) |
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4.1 Current Research Challenges |
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147 | (1) |
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4.2 Existing Information Retrieval Methods in Semantic Web |
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148 | (1) |
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4.3 Interoperability in Healthcare |
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149 | (1) |
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4.4 Comparison of Existing Frameworks |
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149 | (1) |
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149 | (2) |
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4.6 Implementation of Multiagent System |
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151 | (1) |
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152 | (1) |
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152 | (2) |
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154 | (1) |
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Chapter 6 Smart Ambulance System Using Concept of Big Data and Internet of Things |
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155 | (22) |
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155 | (4) |
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156 | (1) |
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157 | (1) |
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157 | (2) |
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2 Techniques and Technologies |
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159 | (7) |
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159 | (1) |
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160 | (1) |
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161 | (2) |
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2.4 Wireless Body Access Network |
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163 | (2) |
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165 | (1) |
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166 | (8) |
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3.1 Technicalities of Smart Ambulance |
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168 | (4) |
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172 | (2) |
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174 | (1) |
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175 | (1) |
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176 | (1) |
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Chapter 7 Mathematical Methods of ECG Data Analysis |
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177 | (34) |
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177 | (2) |
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2 Preprocessing ECG Signals |
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179 | (2) |
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3 Mathematical Methods of ECG Data Analysis of HRV |
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181 | (13) |
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181 | (10) |
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191 | (2) |
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193 | (1) |
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4 The Influence of Cardiovascular Disease and Obesity on HRV |
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194 | (11) |
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4.1 Time-Domain Analysis of HRV of Patients With Cardiovascular Disease |
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194 | (2) |
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4.2 Frequency-Domain Analysis of HRV of Patients With Cardiovascular Disease |
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196 | (1) |
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4.3 Time-Frequency Analysis of HRV of Patients With Cardiovascular Disease |
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197 | (3) |
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4.4 Nonlinear Analysis of HRV of Patients With Cardiovascular Disease |
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200 | (1) |
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4.5 The Influence of Obesity on HRV |
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201 | (4) |
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205 | (1) |
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206 | (2) |
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208 | (3) |
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Chapter 8 Smart Information Technology for Universal Healthcare |
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211 | (16) |
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211 | (2) |
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213 | (2) |
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3 Tools and Techniques Used |
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215 | (7) |
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3.1 Wireless Body Access Network |
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215 | (3) |
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3.2 Software Defined Networks |
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218 | (1) |
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219 | (1) |
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3.4 Long-Range Low-Power Wireless Platform |
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220 | (2) |
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4 Proposed ICT-Based Architecture For Healthcare |
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222 | (2) |
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224 | (1) |
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225 | (1) |
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226 | (1) |
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Chapter 9 Handling Uncertainty in IoT Design: An Approach of Statistical Machine Learning with Distributed Second-Order Optimization |
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227 | (18) |
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227 | (3) |
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1.1 Contribution of Proposed Model |
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229 | (1) |
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2 Uncertainty in IoT and CPS Design |
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230 | (3) |
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2.1 Role of Statistical Machine Learning in IoT Design |
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232 | (1) |
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3 Detection of Uncertainty in IoT Design and Distributed Optimization |
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233 | (2) |
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3.1 IoT and CPS With Changing Number of Objectives: Use Cases |
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233 | (2) |
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4 Validation With Second-Order Distributed Optimization: Results and Discussion |
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235 | (4) |
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4.1 KFC: Distributed Optimization for Optimal Point in IoT Design |
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237 | (1) |
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4.2 Hypothetical Comparison of Proposed Hybrid Algorithm |
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237 | (2) |
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239 | (1) |
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240 | (2) |
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242 | (3) |
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Chapter 10 A Reversible and Secure Electronic Patient Record Embedding Technique using Histogram Bin Shifting and RC6 Encryption |
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245 | (22) |
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245 | (1) |
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246 | (3) |
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249 | (7) |
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249 | (1) |
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250 | (2) |
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252 | (4) |
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256 | (1) |
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256 | (4) |
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4.1 Imperceptibility Analysis |
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259 | (1) |
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5 A Brief Discussion of the Results |
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260 | (2) |
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262 | (1) |
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263 | (4) |
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Chapter 11 Secure and Reversible Data Hiding Scheme for Healthcare System Using Magic Rectangle and A New Interpolation Technique |
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267 | (40) |
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267 | (2) |
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269 | (2) |
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271 | (6) |
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3.1 Proposed Interpolation Scheme |
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271 | (2) |
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273 | (2) |
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275 | (2) |
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3.4 Data Extraction Process |
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277 | (1) |
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277 | (19) |
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4.1 Imperceptibility Analysis |
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277 | (5) |
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4.2 Fragility and Authentication Analysis |
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282 | (9) |
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4.3 Brief Discussion on Results |
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291 | (5) |
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296 | (11) |
References |
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307 | (4) |
Index |
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