Internet of Medicine for Smart Healthcare

Abhishek Kumar, PhD, is an assistant director and associate professor in the Computer Science and Engineering Department in Chandigarh University, Punjab, India. He has over 13 years of academic experience with more than 100 publications in reputed, peer-reviewed national and international journals, books, and conferences. Additionally, he has also authored six books and edited 25 books that have been internationally published. He is also a member of various national and international professional societies in the field of engineering and research, including the Institute of Electrical and Electronics Engineers, International Association of Engineers, and Institute of Research Engineers and Doctors. Narayan Vyas is a principal research consultant at AVN Innovations, where he is actively involved in research and development in computer science and engineering. He qualified for the National Testing Agency’s University Grants Commission National Eligibility Test and Junior Research Fellowship on his first attempt, showcasing his academic excellence. He has published many articles in reputed, peer-reviewed national and international Scopus journals and conferences. Additionally, he has served as a keynote speaker and resource person for several workshops and webinars conducted in India. Pramod Singh Rathore is an assistant professor in the Department of Computer and Communication Engineering, Manipal University, Jaipur. With over 11 years of academic teaching experience, he has published more than 55 papers in reputable, peer-reviewed national and international journals, books, and conferences and co-authored and edited numerous books with well-known publishers. He serves on the editorial and advisory committees of the Global Journal Group and is a member of various national and international professional societies in the field of engineering and research, including the International Association of Engineers. Abhineet Anand, PhD, is the Director in the department of Advanced Information Technology-Computer Science and Engineering, Chandigarh University with over 22 years of experience. He has published more than 40 Scopus-indexed papers, 25 papers in international conferences, eight international journals, three national journals, and three national conferences. He has been part of 20 special sessions at various international conferences as a session chair/co-chair and contributed at 20 different conferences as a Technical Program Committee member. Pooja Dixit is visiting faculty in the Department of Computer Science and Engineering, Maharshi Dayanand Saraswati University, Ajmer, India with over eight years of experience. She has published many papers in reputable, peer-reviewed national and international journals, books, and conferences. Her research includes Artificial intelligence, Data Mining, Machine Learning, and Internet of Things.

• Preface xxiii1 Omics Data Integration in AI System for Immediate and Carryover Effects of Neurodynamic Exercises on SLR Ranges Among Acute PIVD Patients 1Durga Bahuguna, Vaibhav Agarwal and Manish Kumar Jha1.1 Introduction 21.2 Literature Review 31.3 Methodology 71.4 Hypothesis 81.5 Procedure 121.6 Intervention 131.7 Data Analysis 141.8 Result 141.9 Discussion 171.10 Conclusion 19References 192 Effectiveness of Graph-Based Methods for Biological Networks for Primal Reflex Release Techniques on Pain and Disability in Cervicogenic Headache Patient 23Siddhartha Kuriyal, Manish Kumar Jha, Vaibhav Agarwal and Amit Sharma2.1 Introduction 232.2 Literature Review 262.3 Methodology 302.4 Procedure 322.5 Conclusion 40References 403 Application of AI in Determining Immediate and Carryover Effects of Primal Reflex Release Technique Neural Reboot on SI Joint Mobility 43Rakesh Chaudhary, Vaibhav Agarwal and Aashish Negi3.1 Introduction 443.2 Literature Review 453.3 Methodology 493.4 Results 523.5 Conclusion 60References 604 Future Trends in Bioinformatics AI Integration for Analyzing Immediate Effect of Primal Reflex Release Technique in Neck Pain and Stiffness Patients 65Aditya Sharma, Manish Kumar Jha, Vaibhav Agarwal and Amit Sharma4.1 Introduction 664.2 Literature Review 704.3 Methodology 734.4 Conclusion 85References 865 Evolutionary Computation in Bioinformatics Analyzing the Effects of Neurodynamic Exercises on Pain and Disability in Carpal Tunnel Syndrome Patients 89Manish Pathak, Vaibhav Agarwal and Manish Kumar Jha5.1 Introduction 905.2 Literature Review 935.3 Methodology 955.4 Result and Discussion 1015.5 Conclusion 107References 1086 Imperative Role of Artificial Intelligence and Nanotechnology in Healthcare Sector for Sustainable Development 111Sheela Bijlwan6.1 Introduction 1126.2 Literature Review 1146.3 AI Applications in Healthcare Industries 1156.4 Application of AI and Nanotechnology in Medicine 1166.5 AI and Nanotechnology in Anti-Aging Medicines 1176.6 Result 1196.7 Discussion 1196.8 Conclusion 122References 1227 Holistic Approaches for Sleep Pattern Enhancement Using AI and Yoga Therapy: A Comprehensive Scientific Approach 127Somlata Jha and Siddhant Rajhans7.1 Introduction 1277.2 Understanding Sleep Patterns 1287.3 The Importance of Quality Sleep 1287.4 The Role of AI in Sleep Pattern Enhancement 1287.5 How AI Works to Enhance Sleep 1297.6 How Yoga Influences Sleep 1297.7 Combining AI and Yoga for Better Sleep 1307.8 The Synergy of AI and Yoga 1307.9 Scientific Research on Sleep Improvement 1317.10 The Mind–Body Connection 1317.11 A Holistic Approach to Sleep 1327.12 Practicing Yoga for Better Sleep 1337.13 AI-Enabled Sleep Tracking Devices 1347.14 Personalized Sleep Plans 1357.15 Lifestyle Factors and Sleep 1357.16 Conclusion 136References 1378 Ethical Consideration in Bioinformatics in AI for Analyzing the Effects of Using SHAT Device on Upper Extremity Functions in Stroke Patients 139Kapil Lakhwara, Vaibhav Agarwal and Manish Kumar Jha8.1 Introduction 1408.2 SHAT Device (Synchronized Hand Arm Training Device) 1418.3 How to Perform SHAT Exercises 1418.4 Literature Review 1438.5 Methodology 1468.6 Protocol 1478.7 Procedure 1488.8 Results 1498.9 Discussion 1528.10 Conclusion 154References 1559 AI-Driven Drug Discovery and Repurposing for Analyzing Long-Term Effects of Nerve Sliders and Tensioners on Quality of Life in Cervicogenic Headache Patients 159Shashwat Pandya, Manish Kumar Jha, Vaibhav Agarwal and Amit Sharma9.1 Introduction 1609.2 Literature Review 1639.3 Methodology 1669.4 Protocol 1689.5 Procedure 1689.6 Discussion 1749.7 Conclusion 176References 17710 Using Artificial Intelligence (AI) Analyzing Recent Advancements in the Anti-Cancerous Properties of Edible Mushrooms and Their Association with the Mode of Action of Polysaccharides 181Vishal Rajput, Manish Tenguria, Sanjay Gupta, Neha Sharma and Smriti Rai10.1 Introduction 18210.2 Polysaccharide Metabolism and Bioavailability 18410.3 Conclusion 196References 19711 Impact of Artificial Intelligence (AI) in Bioremediation of Dairy Effluent by Microalgae and the Potential Application of the Produced Lipid Byproducts 201Nisha Dhillon, Vivek Kumar, Geeta Bhandari and Sanjay Gupta11.1 Introduction 20211.2 Microalgae 20411.3 Lipid-Producing Microalgal Strains 20411.4 Biosynthesis of Lipid in Microalgae 20811.5 Applications of Microalgal Lipids 21111.6 Challenges in the Field of Microalgal Biomass Productivity 21711.7 Conclusion 218References 21912 Smart Collision Recognition and Reporting System with GPS and GSM Integration 223Gaurav Aggarwal, Pooja Joshi and Ashutosh Bhatt12.1 Introduction 22412.2 Literature Review 22512.3 Block Diagram 22612.4 Methodology 22612.5 Conclusion 233References 23413 Evolution and Impact of Wearable Devices in Healthcare: Anatomy of Wearable Technology and its Influence on Medical Sciences 237M. P. Ambali and V. C. Patil13.1 Introduction 23813.2 Historical Development of Wearable Technology 24213.3 Anatomy of Wearable Technology 24413.4 Types of Wearable Devices in Healthcare 24813.5 Applications of Wearable Technology in Medical Sciences 25113.6 Impact of Wearable Technology on Healthcare 25413.7 Future Trends and Innovations in Wearable Technology 25813.8 Conclusion 259References 26014 Current State of Wearable Healthcare Technology: Physiology and Biochemistry of Wearable Sensors and Devices 263Jyotsna A. Patil and Shrirang N. Patil14.1 Introduction 26414.2 Physiological Monitoring 26614.3 Biochemical Monitoring 26914.4 Integration of Sensors and Devices 27114.5 Applications in Healthcare 27514.6 Advances in Data Analytics and Artificial Intelligence 27714.7 Challenges and Future Directions 27914.8 Conclusion 284References 28515 Real-Time Data Acquisition and Analysis Techniques: Microbiological and Immunological Aspects of Real-Time Health Data Collection 287Satish R. Patil and Supriya S. Patil15.1 Introduction 28815.2 Real-Time Microbiological Data Collection 29215.3 Real-Time Immunological Data Collection 29715.4 Technology and Tools for Real-Time Data Collection 30215.5 Data Analysis Techniques 30515.6 Case Studies and Applications 30815.7 Future Directions and Challenges 31115.8 Conclusion 313References 31416 Applications of Real-Time Data in Healthcare Interventions: Pharmacological Interventions Based on Real-Time Data Analytics 317V. M. Thorat and Satish V. Kakade16.1 Introduction 31816.2 Personalized Medicine 32316.3 Treatment Efficacy 32716.4 Proactive Interventions 33216.5 Clinical Trials 33416.6 Challenges and Future Directions 33916.7 Conclusion 343References 34317 Strategies for Integrating Wearable Technology with Healthcare Systems: Pathological Considerations in Wearable Device Integration 347Sujata Raghunath Kanetkar and Vaishali V. Raje17.1 Introduction 34817.2 Pathological Considerations in Wearable Device Integration 35217.3 Strategies for Effective Integration 35717.4 Case Studies and Examples 36217.5 Future Directions and Emerging Trends 36617.6 Conclusion 370References 37118 Challenges and Solutions in Healthcare System Integration: Histological Perspectives on Wearable Device Integration Challenges 373Yugantara R. Kadam and Sujata Raghunath Kanetkar18.1 Introduction 37418.2 Challenges in Integrating Wearable Devices 37718.3 Interoperability Challenges 38118.4 Security and Privacy Concerns 38318.5 Accuracy and Reliability of Data 38718.6 Scalability and Sustainability 39018.7 Solutions to Integration Challenges 39518.8 Case Studies and Best Practices 39818.9 Future Trends and Outlook 40018.10 Conclusion 402References 40219 Role of Wearable Technology in Mental Health Monitoring and Management: Psychiatric Insights into Wearable Technology Adoption 405Sharad V. Kshirsagar and V. C. Patil19.1 Introduction 40619.2 Adoption of Wearable Technology in Mental Healthcare 41019.3 Data Privacy and Security in Mental Healthcare 41419.4 Potential Impact of Wearable Technology in Mental Healthcare 41819.5 Case Studies and Examples 42119.6 Future Directions and Challenges 42419.7 Conclusion 425References 42620 Ethical Considerations in Mental Health Data Collection and Analysis: Ethical and Legal Aspects of Mental Health Data in Wearable Technology 429V. M. Thorat and M. P. Ambali20.1 Introduction 43020.2 Ethical Principles in Mental Health Data Collection and Analysis 43320.3 Legal Frameworks for Mental Health Data in Wearable Technology 43520.4 Informed Consent in Wearable Technology 43620.5 Data Security and Privacy in Mental Health Wearables 43820.6 Potential Misuse of Mental Health Data 44120.7 Ensuring Equity in Access to Mental Health Wearables 44220.8 Ethical Guidelines for Researchers and Practitioners 44420.9 Conclusion 446References 44621 Ethical Challenges and Guidelines for AI Deployment in Healthcare: Urological and Gastroenterological Perspectives on Ethical AI Deployment 449Sujata Raghunath Kanetkar and V. M. Thorat21.1 Introduction 45021.2 Ethical Principles in AI Deployment 45321.3 Challenges in AI Deployment in Urology and Gastroenterology 45621.4 Guidelines for Ethical AI Deployment in Urology and Gastroenterology 45821.5 Case Studies 46321.6 Future Directions and Recommendations 46521.7 Conclusion 466References 46722 Future Directions and Opportunities in AI-Driven Healthcare: Family Medicine and Anesthesiological Future Directions in AI-Driven Healthcare 469Vithal K. Dhulkhed and Shekhar M. Kumbhar22.1 Introduction 47022.2 AI Applications in Family Medicine 47222.3 AI Applications in Anesthesiology 47522.4 Current Challenges and Limitations 47822.5 Future Directions and Opportunities 48022.6 Case Studies and Examples 48222.7 Conclusion 484References 485About the Editors 489Index 493