Emerging Diagnostic Glucose Sensing Approaches
Diabetes
- 1st Edition - June 1, 2026
- Latest edition
- Editors: Abhishek Kandwal, Nie Zedong, Rohit Jasrotia
- Language: English
Emerging Diagnostic Glucose Sensing Approaches: Diabetes provides a comprehensive review of past and recent research, highlighting the benefits of techniques to analyze the method… Read more
Emerging Diagnostic Glucose Sensing Approaches: Diabetes provides a comprehensive review of past and recent research, highlighting the benefits of techniques to analyze the methods and technologies being employed to perform successful pain-free blood glucose monitoring using non-invasive techniques. The book's main focus is the use of electromagnetic waves to analyze physical phenomena while using advanced sensors and physiological techniques for glucose monitoring in the human body. This is a must-have reference of recent breakthroughs and cutting-edge techniques using advanced electromagnetic wave sensors, which have opened up new areas in non-invasive blood glucose research for the biomedical and other research communities.
Measuring blood glucose levels using electromagnetic waves is now one of the most prominent candidates fulfilling the criteria for blood glucose monitoring. In addition, research using Physiological techniques (ECG and EEG) that integrate artificial intelligence/deep learning are making new breakthroughs. Success in this research requires the applications of physical models for accurate analytical studies, the use of biomedical methodologies for understanding the human body phenomena, and the application of engineering tools for the development of the prototypes.
Measuring blood glucose levels using electromagnetic waves is now one of the most prominent candidates fulfilling the criteria for blood glucose monitoring. In addition, research using Physiological techniques (ECG and EEG) that integrate artificial intelligence/deep learning are making new breakthroughs. Success in this research requires the applications of physical models for accurate analytical studies, the use of biomedical methodologies for understanding the human body phenomena, and the application of engineering tools for the development of the prototypes.
- Provides methodologies on new diagnostic glucose sensing approaches as a part of industrial and societal applications
- Includes the latest techniques required for simulating, designing, and testing for desired applications
- Offers a multidisciplinary review on new sensing methods to explore research analysis in the field of diabetes
Anyone in the field of non-invasive blood glucose monitoring and new diagnostic research, researchers in biomedical, applied physics and electromagnetic fields, researchers working in the emerging field of diabetes and diagnostics
1. Diabetes, Glucose sensing, Requirements, Challenges and Techniques
2. Current Progress in RF sensing for Glucose monitoring
3. Electromagnetics wave Sensors: Design, Fabrication, and Development
4. Testing methods: Invitro and Invivo
5. Physiological Technique: Method, Need and Advantages
6. Prediction of prediabetes: Artificial neural networking
7. Spatiotemporal ECG and EEG feature analysis
8. Bioimpedance based approach
9. Convolutional neural networking: Mult segments fusion and Varied weight
10. Portable and noninvasive blood glucose monitoring
11. Role of Surface waves and Goubau line
12. Statistical and spectral analysis of ECG signal
13. Deep learning intervention for health care challenges
14. Sensing and control: Future and Vision
2. Current Progress in RF sensing for Glucose monitoring
3. Electromagnetics wave Sensors: Design, Fabrication, and Development
4. Testing methods: Invitro and Invivo
5. Physiological Technique: Method, Need and Advantages
6. Prediction of prediabetes: Artificial neural networking
7. Spatiotemporal ECG and EEG feature analysis
8. Bioimpedance based approach
9. Convolutional neural networking: Mult segments fusion and Varied weight
10. Portable and noninvasive blood glucose monitoring
11. Role of Surface waves and Goubau line
12. Statistical and spectral analysis of ECG signal
13. Deep learning intervention for health care challenges
14. Sensing and control: Future and Vision
- Edition: 1
- Latest edition
- Published: June 1, 2026
- Language: English
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Abhishek Kandwal
Dr. Abhishek Kandwal, PhD, SMIEEE, Assistant Professor (Senior Grade) in the School of Physics and Materials Science, Shoolini University of Biotechnology and Management Sciences, Bajhol, Solan, Himachal Pradesh, India. Earlier he worked as Assistant Professor (2018-22) with the Center for Medical Robotics and Minimally Invasive Surgical Devices, Biomedical & Health Engineering, at Shenzhen Institute of Advanced Technology Chinese Academy of Sciences, China. He is working on development of advanced sensors for RF Microwave, mmwave, Biomedical & Health Engineering, advanced analytic modelling and AI/deep learning. He has published around 100 International Journals and Conferences in reputed IEEE, Nature, Elsevier and Wiley Press. His main research is focused on emerging sensors and novel electromagnetics technologies. He serves as Associate Editor of IEEE Access Journal from 2019. He won several awards recently for his research achievements including CAS President International Young Staff Award 2019 and research fundings from Chinese Academy of Medicine.
Affiliations and expertise
PhD, SMIEEENZ
Nie Zedong
Prof. Zedong Nie is Professor and Doctoral supervisor in the
Biomedical and Health Engineering department at Shenzhen Institute of Advanced Technology Chinese Academy of Sciences (SIAT-CAS), China. Dr. Nie has expertise in human body communication and wearable health technology. His research interest includes noninvasive blood glucose monitoring, wearable sensors, communication system and protocol, biometric verification, and AI/machine learning. He's won several Research achievement awards, has applied for more than 60 invention patents and 7 PCT patents with 33 invention patents that have been authorized and more than 70 SCI/Scopus papers have been published. He is the evaluation expert of National Natural Science Foundation of China and Guangdong provincial science and technology department, and the reviewer of several reputed IEEE Journals. He won the honor of innovation and entrepreneurial talent of Shenzhen. He has several national level funding grants for Glucose monitoring and human body communications.
Affiliations and expertise
Professor, Center for Medical Robotics and Minimally Invasive Surgical Devices, Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology Chinese Academy of Sciences, Shenzhen, ChinaRJ
Rohit Jasrotia
Dr. Rohit Jasrotia received his Ph.D. degree in Materials Science (Physics) from the Shoolini University of Biotechnology and Management Sciences (Top-400 THE University Rankings), Solan, Himachal Pradesh, India.
Presently he is working as Research Fellow and Assistant Professor in the INTI International University, Malaysia and Shoolini University of Biotechnology and Management Sciences, Bajhol, Solan, Himachal Pradesh, India since 2018. He has editored two Elsevier books. He has published over 70 research articles in high-quality international peerreviewed journals, granted 6- Indian patents and 13-book chapters. He is active reviewer of more than 30-reputed internal journals and supervising doctoral and master students in research. He has received best researcher award for his achievements in research and development.
Affiliations and expertise
Research Fellow and Assistant Professor at INTI International University, Malaysia