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 surveys past and recent work on non-invasive blood glucose monitoring. The book highlights two complementary paths: electr… Read more
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Description
Description
Key features
Key features
- Provides new 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 on system level to utilize them for desired applications
- Offers a multidisciplinary review on new sensing methods to explore research analysis in the field of diabetes
Readership
Readership
Table of contents
Table of contents
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
Product details
Product details
- Edition: 1
- Latest edition
- Published: June 1, 2026
- Language: English
About the editors
About the editors
AK
Abhishek Kandwal
NZ
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.
RJ
Rohit Jasrotia
Dr. Rohit Jasrotia is currently a Postdoctoral Fellow at the College of Chemistry and Molecular Science, Henan University, Kaifeng, Henan, PR China. He previously served as a Research Fellow and Assistant Professor at the Himalayan Centre of Excellence, Shoolini University, Solan, India. Dr. Jasrotia has published more than 135 research articles in reputed international journals, with over 4,100 citations and an h-index of 39. He has edited several scholarly books indexed in Elsevier databases and has been recognized among the Top 2% Scientists worldwide by Stanford University in collaboration with Elsevier. He has also served as a Special Issue Managing Editor for various journals published by Elsevier and Springer.