Digital Future of Healthcare

Cover
Half Title
Title Page
Copyright Page
Contents
Preface
Editors
Contributors
1. Introduction to Digital Future of Healthcare
	1.1 Introduction
	1.2 Misconceptions of Digital Healthcare
		1.2.1 Misconception 1: People Do Not Want to Adopt Automated Healthcare Services
		1.2.2 Misconception 2: Mainly Young Adults Choose Digital Services
		1.2.3 Misconception 3: Mobile Health or M-health Is a Game-changer
		1.2.4 Misconception 4: Patients Are Searching for New Applications and Features
	1.3 The State of Digital Change of Healthcare in 2021
		1.3.1 The Growth in On-Demand Healthcare (Why Patients Need Healthcare on Their Schedule)
		1.3.2 The Significance of Big Data in the Health Industry
		1.3.3 The Wonder and Care of Patients with Artificial Intelligence
		1.3.4 Development of Wearable Healthcare Devices
		1.3.5 Blockchain and the Future of Improved Electronic Medical Records
	1.4 Advantages of Digital Healthcare
	1.5 Challenges in Digital Healthcare
	1.6 Summary
	References
2. A Content-Based Image Retrieval System for Diagnosis and Detection of Skin Cancer Using Self-Organizing Feature Maps
	2.1 Introduction
	2.2 Research Highlights
	2.3 Review on Skin Cancer
	2.4 Methodology
		2.4.1 Computation of Local Binary Pattern (LBP)
			2.4.1.1 Importance of LBP
		2.4.2 Derivation for LBP
		2.4.3 Algorithm for LBP
	2.5 Importance and Algorithm for Computation of Variance
	2.6 Algorithm for DFT Computation
	2.7 Detection of Skin Lesion Using Self-Organizing Maps (SOM)
	2.8 Similarity Measures Used for Training the SOM
	2.9 Performance Evaluation
	2.10 Results and Discussion
	2.11 Conclusion
	References
3. Innovative Wearable Device Technology for Biomedical Applications
	3.1 Introduction
	3.2 Wearable Devices in Vital Signs Monitoring
		3.2.1 Heart Rate
		3.2.2 Respiration Rate
		3.2.3 Body Temperature
		3.2.4 Blood Pressure
		3.2.5 Blood Glucose
		3.2.6 Blood Oxygen Saturation
		3.2.7 Motion Evaluation
		3.2.8 Other Biomedical Applications of Wearable Devices
	3.3 Few examples of Innovative Wearable Healthcare Devices Currently Under Development
		3.3.1 RespiroGear - Respiratory Rate Controller
			3.3.1.1 Background
			3.3.1.2 Novelty
			3.3.1.3 Core Technology
		3.3.2 CardioMate - Heart Rate and Activity Monitoring for Disease Diagnosis
			3.3.2.1 Background
			3.3.2.2 Novelty
			3.3.2.3 Core Technology
	3.4 Key Factors Influencing the Growth of Healthcare Device Sector, Particularly in the India Context
	3.5 Challenges and Way Forward of Wearable Devices in Healthcare Technology
	References
4. Advancements in Digital Computation: Issues and Opportunities in Healthcare Services
	4.1 Introduction
	4.2 Literature Survey
	4.3 Proposed Model
		4.3.1 Overview of the Framework
		4.3.2 Perception Layer
		4.3.3 Communication Layer
		4.3.4 Computing Model
			4.3.4.1 Classification Model
	4.4 Case Study: COVID-19 Pandemic
	4.5 Limitations and Future Scope
	References
5. Epileptic Aura Detection to Rescue the Epilepsy Patient Through Wireless Body Area Sensor Network
	5.1 Introduction
		5.1.1 Epilepsy Attack
		5.1.2 Body Area Network
			5.1.2.1 Technologies Associated with BAN
	5.2 Related Work
	5.3 Our Approach
		5.3.1 Proposed Model 1 - Close Circuit Seizure Detector
			5.3.1.1 Initial Setup
		5.3.2 Proposed Model 2 - Neck Choker
			5.3.2.1 Components of EEG Module
		5.3.3 Proposed Model 3 - Seizure Detection with Heart Beat Sensor
			5.3.3.1 Procedure of Calculation of Pulse Rate
			5.3.3.2 Normal Pulse Rate
	5.4 Discussion
	5.5 Conclusion
	References
6. Prediction of Users' Performance in Surgical Augmented Reality Simulation-Based Training Using Machine Learning Techniques
	6.1 Introduction
	6.2 Background and Related Work
	6.3 Methodology
		6.3.1 Apparatus
		6.3.2 Pilot Study
		6.3.3 Human Evaluation Technique
		6.3.4 Machine Learning Classifiers (MLCs)
		6.3.5 Performance Measures
	6.4 Findings
	6.5 Discussion
	6.6 Conclusion and Future Work
	Note
	References
7. An Ensemble Approach for Argument Mining on Medical Reviews
	7.1 Introduction
		7.1.1 Medical Reviews
		7.1.2 Challenges in Handling Medical Reviews
	7.2 Motivation
	7.3 Related Work
	7.4 Methodology
		7.4.1 Proposed Methodology
		7.4.2 Data Collection and Preprocessing
		7.4.3 Feature Extraction
		9.4.4 Relationship Extraction
		7.4.5 Ensemble Methods
	7.5 Results and Analysis
		7.5.1 Results
		7.5.2 Discussion
		7.5.3 Website
		7.5.4 Argument Graphs and User Interface
	7.6 Conclusion
	References
8. Augmented Reality Systems and Haptic Devices for Needle Insertion Medical Training
	8.1 Introduction
	8.2 Augmented Reality (AR)
	8.3 Haptic Devices
	8.4 AR Systems with Haptic Devices
	8.5 Analysis of the Studies
	8.6 Challenges, Trends, and Opportunities
	8.7 Conclusion
	References
9. Current Strategies and Future Perspectives of Autoimmune Disorder
	9.1 Introduction: Background and Driving Forces
	9.2 Autoimmune Disorders
	9.3 Protocol Used During Docking Process
	9.4 Analysis of Interaction Result Obtained from Molecular Docking
	9.5 Summary and Conclusions
	References
10. Aspects of Improvement of Digital Healthcare Systems Through Digital Transformation
	10.1 Introduction: Digital Transformation in Healthcare System
	10.2 Challenges of Digital Transformation in Healthcare
	10.3 Computer-Aided Drug Design with H2N2 Influenza A Virus
	10.4 Analysis of Molecular Interaction
	10.5 Summary and Conclusions
	References
11. Automated Detection of COVID-19 Lesion in Lung CT Slices with VGG-UNet and Handcrafted Features
	11.1 Introduction
	11.2 Earlier Research
	11.3 Methodology
		11.3.1 Image Database
		11.3.2 Segmentation with VGG-UNet
		11.3.3 Feature Extraction
		11.3.4 Feature Selection with Bat Algorithm
		11.3.5 Classifier Implementation
			11.3.5.1 Decision-Tree
			11.3.5.2 Random-Forest
			11.3.5.3 K-Nearest Neighbor
			11.3.5.4 SVM-RBF
		11.3.6 Validation of the Proposed System
	11.4 Results and Discussions
	11.5 Conclusion
	References
Index