Smart Healthcare System Design : Security and Privacy Aspects /: Security and Privacy Aspects. (2021)

• Record Type: Book
• Further Information: Note: S. K. Hafizul Islam, Debabrata Samanta.
• Editors: Islam, S. K. Hafizul; Samanta, Debabrata
• Contents: Preface xvii Acknowledgments xxiii 1 Machine Learning Technologies in IoT EEG-Based Healthcare Prediction 1; Karthikeyan M.P., Krishnaveni K. and Muthumani N. 1.1 Introduction 2 1.1.1 Descriptive Analytics 3 1.1.2 Analytical Methods 3 1.1.3 Predictive Analysis 4 1.1.4 Behavioral Analysis 4 1.1.5 Data Interpretation 4 1.1.6 Classification 4 1.2 Related Works 7 1.3 Problem Definition 9 1.4 Research Methodology 9 1.4.1 Components Used 10 1.4.2 Specifications and Description About Components 10 1.4.2.1 Arduino 10 1.4.2.2 EEG Sensor—Mindwave Mobile Headset 11 1.4.2.3 Raspberry pi 12 1.4.2.4 Working 13 1.4.3 Cloud Feature Extraction 13 1.4.4 Feature Optimization 14 1.4.5 Classification and Validation 15 1.5 Result and Discussion 16 1.5.1 Result 16 1.5.2 Discussion 23 1.6 Conclusion 27 1.6.1 Future Scope 27 References 28 2 Smart Health Application for Remote Tracking of Ambulatory Patients 33; Shariq Aziz Butt, Muhammad Waqas Anjum, Syed Areeb Hassan, Arindam Garai and Edeh Michael Onyema 2.1 Introduction 34 2.2 Literature Work 34 2.3 Smart Computing for Smart Health for Ambulatory Patients 35 2.4 Challenges With Smart Health 36 2.4.1 Emergency Support 36 2.4.2 The Issue With Chronic Disease Monitoring 38 2.4.3 An Issue With the Tele-Medication 38 2.4.4 Mobility of Doctor 40 2.4.5 Application User Interface Issue 40 2.5 Security Threats 41 2.5.1 Identity Privacy 41 2.5.2 Query Privacy 42 2.5.3 Location of Privacy 42 2.5.4 Footprint Privacy and Owner Privacy 43 2.6 Applications of Fuzzy Set Theory in Healthcare and Medical Problems 43 2.7 Conclusion 51 References 51 3 Data-Driven Decision Making in IoT Healthcare Systems—COVID-19: A Case Study 57; Saroja S., Haseena S. and Blessa Binolin Pepsi M. 3.1 Introduction 58 3.1.1 Pre-Processing 59 3.1.2 Classification Algorithms 60 3.1.2.1 Dummy Classifier 60 3.1.2.2 Support Vector Machine (SVM) 60 3.1.2.3 Gradient Boosting 61 3.1.2.4 Random Forest 62 3.1.2.5 Ada Boost 63 3.2 Experimental Analysis 63 3.3 Multi-Criteria Decision Making (MCDM) Procedure 63 3.3.1 Simple Multi Attribute Rating Technique (SMART) 64 3.3.1.1 COVID-19 Disease Classification Using SMART 64 3.3.2 Weighted Product Model (WPM) 66 3.3.2.1 COVID-19 Disease Classification Using WPM 66 3.3.3 Method for Order Preference by Similarity to the Ideal Solution (TOPSIS) 67 3.3.3.1 COVID-19 Disease Classification Using TOPSIS 68 3.4 Conclusion 69 References 69 4 Touch and Voice-Assisted Multilingual Communication Prototype for ICU Patients Specific to COVID-19 71; B. Rajesh Kanna and C.Vijayalakshmi 4.1 Introduction and Motivation 72 4.1.1 Existing Interaction Approaches and Technology 73 4.1.2 Challenges and Gaps 74 4.2 Proposed Prototype of Touch and Voice-Assisted Multilingual Communication 75 4.3 A Sample Case Study 82 4.4 Conclusion 82 References 84 5 Cloud-Assisted IoT System for Epidemic Disease Detection and Spread Monitoring 87; Himadri Nath Saha, Reek Roy and Sumanta Chakraborty 5.1 Introduction 88 5.2 Background & Related Works 92 5.3 Proposed Model 98 5.3.1 ThinkSpeak 100 5.3.2 Blood Oxygen Saturation (SpO2) 100 5.3.3 Blood Pressure (BP) 101 5.3.4 Electrocardiogram (ECG) 101 5.3.5 Body Temperature (BT) 102 5.3.6 Respiration Rate (RR) 102 5.3.7 Environmental Parameters 103 5.4 Methodology 103 5.5 Performance Analysis 110 5.6 Future Research Direction 111 5.7 Conclusion 112 References 113 6 Impact of Healthcare 4.0 Technologies for Future Capacity Building to Control Epidemic Diseases 115; Himadri Nath Saha, Sumanta Chakraborty, Sourav Paul, Rajdeep Ghosh and Dipanwita Chakraborty Bhattacharya 6.1 Introduction 116 6.2 Background and Related Works 120 6.3 System Design and Architecture 128 6.4 Methodology 131 6.5 Performance Analysis 138 6.6 Future Research Direction 138 6.7 Conclusion 139 References 139 7 Security and Privacy of IoT Devices in Healthcare Systems 143; Himadri Nath Saha and Subhradip Debnath 7.1 Introduction 144 7.2 Background and Related Works 145 7.3 Proposed System Design and Architecture 147 7.3.1 Modules 148 7.3.1.1 Wireless Body Area Network 148 7.3.1.2 Centralized Network Coordinator 149 7.3.1.3 Local Server 149 7.3.1.4 Cloud Server 150 7.3.1.5 Dedicated Network Connection 151 7.4 Methodology 151 7.5 Performance Analysis 160 7.6 Future Research Direction 161 7.7 Conclusion 163 References 164 8 An IoT-Based Diet Monitoring Healthcare System for Women 167; Suganyadevi S., Shamia D. and Balasamy K. 8.1 Introduction 168 8.2 Background 177 8.2.1 Food Consumption 177 8.2.2 Food Consumption Monitoring 178 8.2.3 Health Monitoring Methods Using Physical Methodology 179 8.2.3.1 Traditional Form of Self-Report 179 8.2.3.2 Self-Reporting Methodology Through Smart Phones 179 8.2.3.3 Food Frequency Questionnaire 179 8.2.4 Methods for Health Tracking Using Automated Approach 180 8.2.4.1 Pressure Process 180 8.2.4.2 Surveillance Video Method 180 8.2.4.3 Method of Doppler Sensing 180 8.3 Necessity of Wearable Approach? 181 8.4 Different Approaches for Wearable Sensing 181 8.4.1 Approach of Acoustics 182 8.4.1.1 Detection of Chewing 182 8.4.1.2 Detection of Swallowing 183 8.4.1.3 Shared Chewing/Swallowing Discovery 183 8.5 Description of the Methodology 184 8.6 Description of Various Components Used 185 8.6.1 Sensors 185 8.6.1.1 Sensors for Cardio-Vascular Monitoring 185 8.6.1.2 Sensors for Activity Monitoring 186 8.6.1.3 Sensors for Body Temperature Monitoring 187 8.6.1.4 Sensor for Galvanic Skin Response (GSR) Monitoring 188 8.6.1.5 Sensor for Monitoring the Blood Oxygen Saturation (SpO2 ) 189 8.7 Strategy of Communication for Wearable Systems 189 8.8 Conclusion 192 References 194 9 A Secure Framework for Protecting Clinical Data in Medical IoT Environment 203; Balasamy K., Krishnaraj N., Ramprasath J. and Ramprakash P. 9.1 Introduction 203 9.1.1 Medical IoT Background & Perspective 204 9.1.1.1 Medical IoT Communication Network 204 9.2 Medical IoT Application Domains 209 9.2.1 Smart Doctor 209 9.2.2 Smart Medical Practitioner 209 9.2.3 Smart Technology 209 9.2.4 Smart Receptionist 210 9.2.5 Disaster Response Systems (DRS) 210 9.3 Medical IoT Concerns 210 9.3.1 Security Concerns 211 9.3.2 Privacy Concerns 212 9.3.3 Trust Concerns 212 9.4 Need for Security in Medical IoT 212 9.5 Components for Enhancing Data Security in Medical IoT 214 9.5.1 Confidentiality 214 9.5.2 Integrity 214 9.5.3 Authentication 215 9.5.4 Non-Repudiation 215 9.5.5 Privacy 215 9.6 Vulnerabilities in Medical
• Edition: 1st
• Publisher Details: Wiley-Scrivener
• Publication Date: 2021
• Extent: 1 online resource (384 pages)
• Languages: English
• ISBNs: 9781119792239
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• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.