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Submit a ProposalInternet of Things in Bioelectronics
 | Emerging Technologies and Applications Edited by Hari Murthy, Marta Zurek-Mortka, Vinay Jha Pillai, and Kukatlapalli Pradeep Kuma Copyright: 2024 | Status: Published ISBN: 9781394241873 | Hardcover | 330 pages Price: $225 USD  |
One Line Description
This book provides a comprehensive exploration of the exciting intersection between technology and biology and delves into the principles, applications, and future directions of IoT in the realm of bioelectronics; it serves as both an introduction for those new to the field and as a detailed reference for experienced professionals seeking to deepen their knowledge.
Audience
The target audience includes professionals, researchers, academics, and students involved in various fields related to bioelectronics, IoT, healthcare, biotechnology, engineering, and related disciplines.
The target audience includes professionals, researchers, academics, and students involved in various fields related to bioelectronics, IoT, healthcare, biotechnology, engineering, and related disciplines.
Description
The rapid convergence of technology and biology heralds a new era of evolution in the Internet of Things (IoT), a transformative force enabling interconnected devices to communicate and operate with unparalleled synergy. This is particularly true in the groundbreaking field of bioelectronics, where the fusion of biological systems with electronic devices and IoT is reshaping the landscape of bioelectronics, promising to open up new frontiers in healthcare, diagnostics, and personalized medicine.
This timely book explores the numerous ways in which IoT-enabled bioelectronic devices are used to monitor and enhance human health, from wearable sensors that track vital signs to implantable devices that can communicate with healthcare providers in real time. One central theme of this book is the transformative impact of IoT on healthcare. By enabling continuous, remote monitoring of patients, IoT technologies are not only improving the accuracy of diagnostics but also making healthcare more accessible and personalized. The book also addresses the critical issues of securing health records on the internet, which are of paramount importance as we increasingly rely on interconnected devices to collect and transmit sensitive health information. Additional attention is paid to the future directions of IoT in bioelectronics and the integration of innovative areas, such as artificial intelligence, machine learning, and big data analytics, in driving the development of ever more sophisticated and capable bioelectronic systems.
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The rapid convergence of technology and biology heralds a new era of evolution in the Internet of Things (IoT), a transformative force enabling interconnected devices to communicate and operate with unparalleled synergy. This is particularly true in the groundbreaking field of bioelectronics, where the fusion of biological systems with electronic devices and IoT is reshaping the landscape of bioelectronics, promising to open up new frontiers in healthcare, diagnostics, and personalized medicine.
This timely book explores the numerous ways in which IoT-enabled bioelectronic devices are used to monitor and enhance human health, from wearable sensors that track vital signs to implantable devices that can communicate with healthcare providers in real time. One central theme of this book is the transformative impact of IoT on healthcare. By enabling continuous, remote monitoring of patients, IoT technologies are not only improving the accuracy of diagnostics but also making healthcare more accessible and personalized. The book also addresses the critical issues of securing health records on the internet, which are of paramount importance as we increasingly rely on interconnected devices to collect and transmit sensitive health information. Additional attention is paid to the future directions of IoT in bioelectronics and the integration of innovative areas, such as artificial intelligence, machine learning, and big data analytics, in driving the development of ever more sophisticated and capable bioelectronic systems.
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Author / Editor Details
Hari Murthy, PhD, is a faculty member in the Department of Electronics and Communication Engineering, CHRIST (Deemed to be University), Bengaluru, India. His doctoral thesis from the University of Canterbury, New Zealand was on novel anticorrosion materials. He has published several articles in international journals and conferences as well as edited “Novel Anti-Corrosion and Anti-Fouling Coatings and Thin Films” with the Wiley-Scrivener imprint (2024).
Hari Murthy, PhD, is a faculty member in the Department of Electronics and Communication Engineering, CHRIST (Deemed to be University), Bengaluru, India. His doctoral thesis from the University of Canterbury, New Zealand was on novel anticorrosion materials. He has published several articles in international journals and conferences as well as edited “Novel Anti-Corrosion and Anti-Fouling Coatings and Thin Films” with the Wiley-Scrivener imprint (2024).
Marta Zurek-Mortka, PhD, is a senior specialist in the Department of Control Systems, Lukasiewics Research Network, Institute for Sustainable Technologies, Radom, Poland. She obtained her doctorate in electrical engineering from the University of Technology and Humanities Kazimierz Pulaski in 2020. She is an author and co-author of more than 30 publications in SCI journals, as well as a co-author of four patent applications. Her research interests include electromobility, renewable energy, power electronic converters for electromobility, and renewable energy sources.
Vinay Jha Pillai, PhD, is an assistant professor in the Department of Electronics and Communication Engineering, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India. His primary research is in the early detection of breast cancer using optical imaging and holds two patents related to the subject. He is also exploring the domain of sensors for extracting coating parameters, especially for thermal barrier coatings which have a wide application in the field of corrosion and biofouling inhibitors.
Kukatlapalli Pradeep Kumar, PhD, is an associate professor and data science program coordinator at Christ University, Bangalore, India. He has published multiple publications in journals and conferences. His areas of interest include data science, information security, data provenance, and multiparty secret sharing.
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Table of Contents
Preface
Acknowledgement
1. IoT-Based Implant Devices in Humans/Animals for Therapeutic Reasons
Chetankumar Kalaskar
1.1 Introduction
1.2 Application of IoT in Implantable Insulin Pumps
1.3 Application of IoT in Implantable Heart Monitors
1.4 Application of IoT in Implantable Nerve Stimulators
1.5 Application of IoT in Implantable Drug Delivery Systems
1.6 Application of IoT in Implantable Brain-Computer Interfaces
1.7 Application of IoT in Implantable Biosensors
1.8 IoT Revolutionizing Healthcare Devices: A Comparative Analysis of IoT-Based Implants vs. Conventional Medical Devices
1.9 Challenges in Therapeutic Implant Devices for Humans and Animals
1.10 Future Prospects
References
2. IoT and Nano-Bioelectronics for Target Drug Delivery
Ambikesh Soni, Pratiksha Singh, Gagan Kant Tripathi and Priyanka Dixit
2.1 Introduction
2.2 Literature Study
2.2.1 Internet of Things
2.2.2 Nanobioelectronics
2.2.2.1 Scanning Beam Lithography
2.2.2.2 Jet Printing
2.2.2.3 AFM Nano Printing
2.3 Principles of Targeted Drug Delivery
2.3.1 Targeted Drug Delivery
2.3.2 Carriers for the Targeted Drug Delivery
2.4 Methodology
2.5 Smart Portable Intensive Care Unit
2.6 Applications of Targeted Drug Delivery
2.7 Applications of IoT and Nanobioelectronics
2.8 Use of IoT to Improve Drug Delivery System
2.8.1 Examples of IoT-Based Drug Delivery Systems
2.8.2 Role of IoT and Nanobioelectronics in Targeted Drug Delivery
2.9 Challenges
2.10 Conclusion
Relevance of Work
References
3. Healthcare and Hygiene Monitoring Using Internet of Things (IoT) Enabled Technology
J. Sandhya and Lakshmi Sandeep
3.1 Introduction
3.2 IoT in Healthcare Applications
3.3 IoT Accelerating the Integration of Healthcare and Hygiene for Medical Applications
3.4 Challenges in IoT Enabled Healthcare
3.4.1 Data Security, Privacy and Quality
3.4.2 Device Compatibility and Integration of Standards and Protocols
3.4.3 Data Overload and Performance
3.4.4 Infrastructure Requirements for Data Service
3.4.5 Regulation and Legislation
3.4.6 Public Perception and Awareness
3.5 Conclusion
References
4. Self-Powered, Flexible, and Wearable Piezoelectric Nanocomposite Tactile Sensors with IoT for Physical Activity Monitoring
Arjun Hari M. and Lintu Rajan
4.1 Introduction
4.2 PVDF-Based Nanocomposites for Tactile Sensing
4.3 Internet of Things (IoT) for Health Care: System Architecture
4.4 Experiments
4.4.1 Sensor Film Fabrication
4.5 Results and Discussion
4.6 Conclusion
References
5. Securing Electronic Health Records (EHRS) in Internet of Things (IoT)-Based Cloud Networking Using Elliptic Curve Cryptography (ECC) with ECIES Algorithm
J. Shyamala Devi and Selvanayaki Kolandapalayam Shanmugam
5.1 Introduction
5.1.1 Terms Used in Literature
5.2 E-Records in Healthcare
5.3 Why Do We Need EHR? And Why Now?
5.4 Securing EHR in IoT-Based Cloud Networking
5.5 Role of IoT in Electronic Health Records
5.6 EHR Encryption at Different Levels
5.6.1 Encryption Methods
5.7 Elliptic Curve Cryptography
5.7.1 Cryptography Basics
5.7.1.1 Types of Cryptography
5.7.2 Key Generation Steps
5.7.3 Message Encryption and Decryption
5.7.3.1 Math Involved in Decryption
5.8 Elliptic Curve Integrated Encryption Scheme (ECIES)
5.9 Conclusion
References
6. 2D Photonic Crystal Nano Biosensor with IoT Intelligence
Balaji V. R., Jesuwanth Sugesh R. G., Sreevani N.R.G., Shanmuga Sundar Dhanabalan, T. Sridarshini and Gopalkrishna Hegde
6.1 Introduction
6.1.1 Structural Parameter
6.1.2 Performance Parameters of Sensor
6.1.3 Sensing and Detection Mechanism
6.2 Photonic Crystal Biosensor
6.2.1 Highlights of PC Biosensors
6.2.2 IoT-Enabled 2D PC Biosensor
6.2.3 PC Block Diagram
6.2.3.1 Biosensor for Cancerous Cell Detection
6.2.3.2 Biosensor for Blood Components Detection
6.2.3.3 Biosensor for Chikungunya Virus Detection
6.2.3.4 Biosensor for Glucose Monitoring
6.2.3.5 Biosensor for Glucose Concentration in Urine
6.2.3.6 Biosensor for Abnormal Tissues Analysis Detection
6.2.3.7 Biosensor for DNA Detection
6.3 Inference and Future Enhancements
Conclusion
References
7. Portable IoT Smart Devices in Healthcare and Remote Health Monitoring
Boopathi Raja G., Parimala Devi M., Deepa R., Sathya T. and Nithya S.
7.1 Introduction
7.2 Related Works
7.3 Proposed Framework Design
7.4 Implementation of Hardware Module
7.4.1 Required Hardware Components
7.5 Implementation of Prototype
7.6 Results and Discussion
7.7 Conclusion
References
8. Pioneering Implantable IoT: A New Era of Precision Medicine for Humans and Animals Unveiling the Future of Medicine Through Implantable Technology
Md. Afroz, Emmanuel Nyakwende and Birendra Goswami
8.1 Introduction
8.2 IoT Implanted Devices
8.3 Monitoring and Tracking Implants
8.4 Therapeutic Implants
8.5 Communication Protocols
8.6 Power and Energy Harvesting
8.7 Data Security
8.8 Future Scope and Challenges
8.9 Biomaterials
8.10 Conclusion
References
9. Enhancing Patient Safety and Efficiency in Intravenous Therapy: A Comprehensive Analysis of Smart Infusion Monitoring Systems
Krishna Sreekumar, T. Punitha Reddy and Boppuru Rudra Prathap
9.1 Introduction
9.2 Smart Intravenous Therapy: Enhancing Patient Safety
9.3 Related Works
9.4 Observations and Results
9.5 Conclusion
Data Availability
Conflict of Interest
Funding
References
10. Portable IoT Smart Devices in Healthcare and Remote Health Monitoring – Abnormality Detection through Personalized Vital Health Signs Using Smart Bio Devices
Poorani Marimuthu, C. Christlin Shanuja and Aparna N.
10.1 Introduction
10.2 Literature Survey
10.3 Role of Portable Smart Wearable Devices in Remote Health Monitoring
10.4 Case Study
10.4.1 Activity Recognition
10.4.2 Abnormality Detection
10.4.3 Results and Discussion
10.4.4 Alert Generation
10.5 Research Challenges and Future Scope
10.6 Conclusion
References
Technical Terms Related to the Literature Work
6. 2D Photonic Crystal Nano Biosensor with IoT Intelligence
Balaji V. R., Jesuwanth Sugesh R. G., Sreevani N.R.G., Shanmuga Sundar Dhanabalan, T. Sridarshini and Gopalkrishna Hegde
6.1 Introduction
6.1.1 Structural Parameter
6.1.2 Performance Parameters of Sensor
6.1.3 Sensing and Detection Mechanism
6.2 Photonic Crystal Biosensor
6.2.1 Highlights of PC Biosensors
6.2.2 IoT-Enabled 2D PC Biosensor
6.2.3 PC Block Diagram
6.2.3.1 Biosensor for Cancerous Cell Detection
6.2.3.2 Biosensor for Blood Components Detection
6.2.3.3 Biosensor for Chikungunya Virus Detection
6.2.3.4 Biosensor for Glucose Monitoring
6.2.3.5 Biosensor for Glucose Concentration in Urine
6.2.3.6 Biosensor for Abnormal Tissues Analysis Detection
6.2.3.7 Biosensor for DNA Detection
6.3 Inference and Future Enhancements
Conclusion
References
7. Portable IoT Smart Devices in Healthcare and Remote Health Monitoring
Boopathi Raja G., Parimala Devi M., Deepa R., Sathya T. and Nithya S.
7.1 Introduction
7.2 Related Works
7.3 Proposed Framework Design
7.4 Implementation of Hardware Module
7.4.1 Required Hardware Components
7.5 Implementation of Prototype
7.6 Results and Discussion
7.7 Conclusion
References
8. Pioneering Implantable IoT: A New Era of Precision Medicine for Humans and Animals Unveiling the Future of Medicine Through Implantable Technology
Md. Afroz, Emmanuel Nyakwende and Birendra Goswami
8.1 Introduction
8.2 IoT Implanted Devices
8.3 Monitoring and Tracking Implants
8.4 Therapeutic Implants
8.5 Communication Protocols
8.6 Power and Energy Harvesting
8.7 Data Security
8.8 Future Scope and Challenges
8.9 Biomaterials
8.10 Conclusion
References
9. Enhancing Patient Safety and Efficiency in Intravenous Therapy: A Comprehensive Analysis of Smart Infusion Monitoring Systems
Krishna Sreekumar, T. Punitha Reddy and Boppuru Rudra Prathap
9.1 Introduction
9.2 Smart Intravenous Therapy: Enhancing Patient Safety
9.3 Related Works
9.4 Observations and Results
9.5 Conclusion
Data Availability
Conflict of Interest
Funding
References
10. Portable IoT Smart Devices in Healthcare and Remote Health Monitoring – Abnormality Detection through Personalized Vital Health Signs Using Smart Bio Devices
Poorani Marimuthu, C. Christlin Shanuja and Aparna N.
10.1 Introduction
10.2 Literature Survey
10.3 Role of Portable Smart Wearable Devices in Remote Health Monitoring
10.4 Case Study
10.4.1 Activity Recognition
10.4.2 Abnormality Detection
10.4.3 Results and Discussion
10.4.4 Alert Generation
10.5 Research Challenges and Future Scope
10.6 Conclusion
References
Technical Terms Related to the Literature Work
11. Fuzzy Logic-Based Fault Diagnosis for Bioelectronic Systems in IoT
Yogeesh N.
11.1 Introduction
11.1.1 Overview of Fault Diagnosis in Bioelectronic Systems
11.1.2 Role of Fuzzy Logic in Fault Diagnosis
11.1.3 Motivation for Using Fuzzy Logic in Fault Diagnosis for IoT Applications
11.2 Fuzzy Logic Theory for Fault Diagnosis
11.2.1 Introduction to Fuzzy Logic Theory
11.2.2 Fuzzy Sets and Membership Functions
11.2.3 Methods for Inference and Fuzzy Rules
11.2.4 Techniques for Defuzzification
11.2.5 Fuzzy Reasoning for Fault Diagnosis
11.3 A Fuzzy Logic-Based Approach to Fault Diagnosis
11.3.1 Overview of the Fuzzy Logic-Based Method to Fault Diagnostics
11.3.2 Sensor Data Collection and System Modelling
11.3.3 Design and Optimization of Fuzzy Rule Bases
11.3.4 Fuzzy Inference System Implementation
11.3.5 Fuzzy Logic-Based Fault Detection and Categorization
11.4 Case Studies and Examples
11.4.1 Fault Diagnosis in Pacemakers Using Fuzzy Logic
11.4.2 Fault Detection Using Fuzzy Logic in Implanted Glucose Sensors
11.4.3 Fault Diagnosis in Wearable Biosensors Using Fuzzy Logic
11.5 Advantages and Limitations
11.5.1 Advantages of Using Fuzzy Logic for Fault Diagnosis in Bioelectronic Systems
11.5.2 Fault Detection Using Fuzzy Logic has Limitations and Difficulties
11.6 Conclusion
11.6.1 Summary of Key Points
11.6.2 Future Research Directions for Fuzzy Logic-Based Fault Diagnosis in Bioelectronic Systems in IoT
References
12. Portable and Automated Healthcare Platform Integrated with IoT Technology
Preetham Noel P. and Kishorekumar R.
12.1 Introduction
12.1.1 Smart Healthcare Monitoring – Making Medical Output More Precise and Intelligent
12.1.2 Novel Smart Healthcare – Machine Learning and IoT
12.1.3 IoT-Based Healthcare Monitoring with Edge-Envisioning
12.1.4 Safeguarding IoT Communications
12.2 Applications of IoT
12.2.1 Glucose Sensors
12.2.2 m-IoT Based Non-Intrusive Glucometer
12.2.3 Blood Pressure Sensor
12.2.4 Face Recognition
12.3 Further Scope and Implementation
12.4 Conclusion
References
13. Portable IoT Devices in Healthcare for Health Monitoring and Diagnostics
Sindhu Rajendran, Aryan Porwal, Kumari Anjali, Anvaya and Anuradha R. J.
13.1 Introduction
13.1.1 Necessity of Remote Health Monitoring
13.1.2 Use of Telemedical Facility
13.1.3 Statistics of Countries Using Remote Health Monitoring System
13.1.4 Role of IoT Smart Devices in Healthcare
13.2 IoT Smart Devices in Healthcare
13.2.1 Evolution of IoT Devices Across the World
13.2.2 Current Landscape
13.3 Need for Portable IoT Smart Devices
13.3.1 Global Usage of Portable IoT Smart Devices
13.4 Introduction to Portable Labs
13.4.1 Advantages of Portable Labs
13.4.2 Perspective of Portable Labs in India
13.4.2.1 Insights of Portable Labs in India
13.4.2.2 Case Study
13.5 Prospects for Portable Labs Globally in the Future
13.6 Future Scope
13.7 Conclusion
References
14. IoT-Enabled Analysis of COVID Data: Unveiling Insights from Temperature, Pulse Rate, and Oxygen Measurements Justin John, Kukatlapalli Pradeep Kumar and Hari Murthy
14.1 Introduction
14.2 Literature
14.2.1 Temperature
14.2.2 Pulse Rate Monitoring
14.2.3 Oxygen Measurement in COVID-19
14.2.4 Dataset Details
14.2.5 Analysis and Research Opportunities
14.3 Methodology
14.4 Results and Discussion
14.4.1 Statistical Tests
14.4.2 Crosstabs
14.5 Conclusion
References
Index
Back to Top
Preface
Acknowledgement
1. IoT-Based Implant Devices in Humans/Animals for Therapeutic Reasons
Chetankumar Kalaskar
1.1 Introduction
1.2 Application of IoT in Implantable Insulin Pumps
1.3 Application of IoT in Implantable Heart Monitors
1.4 Application of IoT in Implantable Nerve Stimulators
1.5 Application of IoT in Implantable Drug Delivery Systems
1.6 Application of IoT in Implantable Brain-Computer Interfaces
1.7 Application of IoT in Implantable Biosensors
1.8 IoT Revolutionizing Healthcare Devices: A Comparative Analysis of IoT-Based Implants vs. Conventional Medical Devices
1.9 Challenges in Therapeutic Implant Devices for Humans and Animals
1.10 Future Prospects
References
2. IoT and Nano-Bioelectronics for Target Drug Delivery
Ambikesh Soni, Pratiksha Singh, Gagan Kant Tripathi and Priyanka Dixit
2.1 Introduction
2.2 Literature Study
2.2.1 Internet of Things
2.2.2 Nanobioelectronics
2.2.2.1 Scanning Beam Lithography
2.2.2.2 Jet Printing
2.2.2.3 AFM Nano Printing
2.3 Principles of Targeted Drug Delivery
2.3.1 Targeted Drug Delivery
2.3.2 Carriers for the Targeted Drug Delivery
2.4 Methodology
2.5 Smart Portable Intensive Care Unit
2.6 Applications of Targeted Drug Delivery
2.7 Applications of IoT and Nanobioelectronics
2.8 Use of IoT to Improve Drug Delivery System
2.8.1 Examples of IoT-Based Drug Delivery Systems
2.8.2 Role of IoT and Nanobioelectronics in Targeted Drug Delivery
2.9 Challenges
2.10 Conclusion
Relevance of Work
References
3. Healthcare and Hygiene Monitoring Using Internet of Things (IoT) Enabled Technology
J. Sandhya and Lakshmi Sandeep
3.1 Introduction
3.2 IoT in Healthcare Applications
3.3 IoT Accelerating the Integration of Healthcare and Hygiene for Medical Applications
3.4 Challenges in IoT Enabled Healthcare
3.4.1 Data Security, Privacy and Quality
3.4.2 Device Compatibility and Integration of Standards and Protocols
3.4.3 Data Overload and Performance
3.4.4 Infrastructure Requirements for Data Service
3.4.5 Regulation and Legislation
3.4.6 Public Perception and Awareness
3.5 Conclusion
References
4. Self-Powered, Flexible, and Wearable Piezoelectric Nanocomposite Tactile Sensors with IoT for Physical Activity Monitoring
Arjun Hari M. and Lintu Rajan
4.1 Introduction
4.2 PVDF-Based Nanocomposites for Tactile Sensing
4.3 Internet of Things (IoT) for Health Care: System Architecture
4.4 Experiments
4.4.1 Sensor Film Fabrication
4.5 Results and Discussion
4.6 Conclusion
References
5. Securing Electronic Health Records (EHRS) in Internet of Things (IoT)-Based Cloud Networking Using Elliptic Curve Cryptography (ECC) with ECIES Algorithm
J. Shyamala Devi and Selvanayaki Kolandapalayam Shanmugam
5.1 Introduction
5.1.1 Terms Used in Literature
5.2 E-Records in Healthcare
5.3 Why Do We Need EHR? And Why Now?
5.4 Securing EHR in IoT-Based Cloud Networking
5.5 Role of IoT in Electronic Health Records
5.6 EHR Encryption at Different Levels
5.6.1 Encryption Methods
5.7 Elliptic Curve Cryptography
5.7.1 Cryptography Basics
5.7.1.1 Types of Cryptography
5.7.2 Key Generation Steps
5.7.3 Message Encryption and Decryption
5.7.3.1 Math Involved in Decryption
5.8 Elliptic Curve Integrated Encryption Scheme (ECIES)
5.9 Conclusion
References
6. 2D Photonic Crystal Nano Biosensor with IoT Intelligence
Balaji V. R., Jesuwanth Sugesh R. G., Sreevani N.R.G., Shanmuga Sundar Dhanabalan, T. Sridarshini and Gopalkrishna Hegde
6.1 Introduction
6.1.1 Structural Parameter
6.1.2 Performance Parameters of Sensor
6.1.3 Sensing and Detection Mechanism
6.2 Photonic Crystal Biosensor
6.2.1 Highlights of PC Biosensors
6.2.2 IoT-Enabled 2D PC Biosensor
6.2.3 PC Block Diagram
6.2.3.1 Biosensor for Cancerous Cell Detection
6.2.3.2 Biosensor for Blood Components Detection
6.2.3.3 Biosensor for Chikungunya Virus Detection
6.2.3.4 Biosensor for Glucose Monitoring
6.2.3.5 Biosensor for Glucose Concentration in Urine
6.2.3.6 Biosensor for Abnormal Tissues Analysis Detection
6.2.3.7 Biosensor for DNA Detection
6.3 Inference and Future Enhancements
Conclusion
References
7. Portable IoT Smart Devices in Healthcare and Remote Health Monitoring
Boopathi Raja G., Parimala Devi M., Deepa R., Sathya T. and Nithya S.
7.1 Introduction
7.2 Related Works
7.3 Proposed Framework Design
7.4 Implementation of Hardware Module
7.4.1 Required Hardware Components
7.5 Implementation of Prototype
7.6 Results and Discussion
7.7 Conclusion
References
8. Pioneering Implantable IoT: A New Era of Precision Medicine for Humans and Animals Unveiling the Future of Medicine Through Implantable Technology
Md. Afroz, Emmanuel Nyakwende and Birendra Goswami
8.1 Introduction
8.2 IoT Implanted Devices
8.3 Monitoring and Tracking Implants
8.4 Therapeutic Implants
8.5 Communication Protocols
8.6 Power and Energy Harvesting
8.7 Data Security
8.8 Future Scope and Challenges
8.9 Biomaterials
8.10 Conclusion
References
9. Enhancing Patient Safety and Efficiency in Intravenous Therapy: A Comprehensive Analysis of Smart Infusion Monitoring Systems
Krishna Sreekumar, T. Punitha Reddy and Boppuru Rudra Prathap
9.1 Introduction
9.2 Smart Intravenous Therapy: Enhancing Patient Safety
9.3 Related Works
9.4 Observations and Results
9.5 Conclusion
Data Availability
Conflict of Interest
Funding
References
10. Portable IoT Smart Devices in Healthcare and Remote Health Monitoring – Abnormality Detection through Personalized Vital Health Signs Using Smart Bio Devices
Poorani Marimuthu, C. Christlin Shanuja and Aparna N.
10.1 Introduction
10.2 Literature Survey
10.3 Role of Portable Smart Wearable Devices in Remote Health Monitoring
10.4 Case Study
10.4.1 Activity Recognition
10.4.2 Abnormality Detection
10.4.3 Results and Discussion
10.4.4 Alert Generation
10.5 Research Challenges and Future Scope
10.6 Conclusion
References
Technical Terms Related to the Literature Work
6. 2D Photonic Crystal Nano Biosensor with IoT Intelligence
Balaji V. R., Jesuwanth Sugesh R. G., Sreevani N.R.G., Shanmuga Sundar Dhanabalan, T. Sridarshini and Gopalkrishna Hegde
6.1 Introduction
6.1.1 Structural Parameter
6.1.2 Performance Parameters of Sensor
6.1.3 Sensing and Detection Mechanism
6.2 Photonic Crystal Biosensor
6.2.1 Highlights of PC Biosensors
6.2.2 IoT-Enabled 2D PC Biosensor
6.2.3 PC Block Diagram
6.2.3.1 Biosensor for Cancerous Cell Detection
6.2.3.2 Biosensor for Blood Components Detection
6.2.3.3 Biosensor for Chikungunya Virus Detection
6.2.3.4 Biosensor for Glucose Monitoring
6.2.3.5 Biosensor for Glucose Concentration in Urine
6.2.3.6 Biosensor for Abnormal Tissues Analysis Detection
6.2.3.7 Biosensor for DNA Detection
6.3 Inference and Future Enhancements
Conclusion
References
7. Portable IoT Smart Devices in Healthcare and Remote Health Monitoring
Boopathi Raja G., Parimala Devi M., Deepa R., Sathya T. and Nithya S.
7.1 Introduction
7.2 Related Works
7.3 Proposed Framework Design
7.4 Implementation of Hardware Module
7.4.1 Required Hardware Components
7.5 Implementation of Prototype
7.6 Results and Discussion
7.7 Conclusion
References
8. Pioneering Implantable IoT: A New Era of Precision Medicine for Humans and Animals Unveiling the Future of Medicine Through Implantable Technology
Md. Afroz, Emmanuel Nyakwende and Birendra Goswami
8.1 Introduction
8.2 IoT Implanted Devices
8.3 Monitoring and Tracking Implants
8.4 Therapeutic Implants
8.5 Communication Protocols
8.6 Power and Energy Harvesting
8.7 Data Security
8.8 Future Scope and Challenges
8.9 Biomaterials
8.10 Conclusion
References
9. Enhancing Patient Safety and Efficiency in Intravenous Therapy: A Comprehensive Analysis of Smart Infusion Monitoring Systems
Krishna Sreekumar, T. Punitha Reddy and Boppuru Rudra Prathap
9.1 Introduction
9.2 Smart Intravenous Therapy: Enhancing Patient Safety
9.3 Related Works
9.4 Observations and Results
9.5 Conclusion
Data Availability
Conflict of Interest
Funding
References
10. Portable IoT Smart Devices in Healthcare and Remote Health Monitoring – Abnormality Detection through Personalized Vital Health Signs Using Smart Bio Devices
Poorani Marimuthu, C. Christlin Shanuja and Aparna N.
10.1 Introduction
10.2 Literature Survey
10.3 Role of Portable Smart Wearable Devices in Remote Health Monitoring
10.4 Case Study
10.4.1 Activity Recognition
10.4.2 Abnormality Detection
10.4.3 Results and Discussion
10.4.4 Alert Generation
10.5 Research Challenges and Future Scope
10.6 Conclusion
References
Technical Terms Related to the Literature Work
11. Fuzzy Logic-Based Fault Diagnosis for Bioelectronic Systems in IoT
Yogeesh N.
11.1 Introduction
11.1.1 Overview of Fault Diagnosis in Bioelectronic Systems
11.1.2 Role of Fuzzy Logic in Fault Diagnosis
11.1.3 Motivation for Using Fuzzy Logic in Fault Diagnosis for IoT Applications
11.2 Fuzzy Logic Theory for Fault Diagnosis
11.2.1 Introduction to Fuzzy Logic Theory
11.2.2 Fuzzy Sets and Membership Functions
11.2.3 Methods for Inference and Fuzzy Rules
11.2.4 Techniques for Defuzzification
11.2.5 Fuzzy Reasoning for Fault Diagnosis
11.3 A Fuzzy Logic-Based Approach to Fault Diagnosis
11.3.1 Overview of the Fuzzy Logic-Based Method to Fault Diagnostics
11.3.2 Sensor Data Collection and System Modelling
11.3.3 Design and Optimization of Fuzzy Rule Bases
11.3.4 Fuzzy Inference System Implementation
11.3.5 Fuzzy Logic-Based Fault Detection and Categorization
11.4 Case Studies and Examples
11.4.1 Fault Diagnosis in Pacemakers Using Fuzzy Logic
11.4.2 Fault Detection Using Fuzzy Logic in Implanted Glucose Sensors
11.4.3 Fault Diagnosis in Wearable Biosensors Using Fuzzy Logic
11.5 Advantages and Limitations
11.5.1 Advantages of Using Fuzzy Logic for Fault Diagnosis in Bioelectronic Systems
11.5.2 Fault Detection Using Fuzzy Logic has Limitations and Difficulties
11.6 Conclusion
11.6.1 Summary of Key Points
11.6.2 Future Research Directions for Fuzzy Logic-Based Fault Diagnosis in Bioelectronic Systems in IoT
References
12. Portable and Automated Healthcare Platform Integrated with IoT Technology
Preetham Noel P. and Kishorekumar R.
12.1 Introduction
12.1.1 Smart Healthcare Monitoring – Making Medical Output More Precise and Intelligent
12.1.2 Novel Smart Healthcare – Machine Learning and IoT
12.1.3 IoT-Based Healthcare Monitoring with Edge-Envisioning
12.1.4 Safeguarding IoT Communications
12.2 Applications of IoT
12.2.1 Glucose Sensors
12.2.2 m-IoT Based Non-Intrusive Glucometer
12.2.3 Blood Pressure Sensor
12.2.4 Face Recognition
12.3 Further Scope and Implementation
12.4 Conclusion
References
13. Portable IoT Devices in Healthcare for Health Monitoring and Diagnostics
Sindhu Rajendran, Aryan Porwal, Kumari Anjali, Anvaya and Anuradha R. J.
13.1 Introduction
13.1.1 Necessity of Remote Health Monitoring
13.1.2 Use of Telemedical Facility
13.1.3 Statistics of Countries Using Remote Health Monitoring System
13.1.4 Role of IoT Smart Devices in Healthcare
13.2 IoT Smart Devices in Healthcare
13.2.1 Evolution of IoT Devices Across the World
13.2.2 Current Landscape
13.3 Need for Portable IoT Smart Devices
13.3.1 Global Usage of Portable IoT Smart Devices
13.4 Introduction to Portable Labs
13.4.1 Advantages of Portable Labs
13.4.2 Perspective of Portable Labs in India
13.4.2.1 Insights of Portable Labs in India
13.4.2.2 Case Study
13.5 Prospects for Portable Labs Globally in the Future
13.6 Future Scope
13.7 Conclusion
References
14. IoT-Enabled Analysis of COVID Data: Unveiling Insights from Temperature, Pulse Rate, and Oxygen Measurements Justin John, Kukatlapalli Pradeep Kumar and Hari Murthy
14.1 Introduction
14.2 Literature
14.2.1 Temperature
14.2.2 Pulse Rate Monitoring
14.2.3 Oxygen Measurement in COVID-19
14.2.4 Dataset Details
14.2.5 Analysis and Research Opportunities
14.3 Methodology
14.4 Results and Discussion
14.4.1 Statistical Tests
14.4.2 Crosstabs
14.5 Conclusion
References
Index
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