
Emerging Diagnostic Glucose Sensing Approaches
Diabetes
by Abhishek Kandwal, Nie Zedong, Rohit Jasrotia
1st Edition
Publisher: Elsevier
Book Details
| Print ISBN | 9780443363481 |
| eText ISBN | 9780443363498 |
| Publisher | Elsevier |
| Publishing Year | 2026 |
| Edition | 1st Edition |
| Language | English |
| Pages | 290 |
Emerging Diagnostic Glucose Sensing Approaches, 1st Edition, surveys non-invasive blood glucose monitoring methods for modern diagnostic device development. Edited by Abhishek Kandwal, Nie Zedong, and Rohit Jasrotia, this 2026 reference volume from Elsevier systematically addresses technical requirements, design constraints, and operational challenges inherent in continuous non-invasive detection.
The text structures its technical coverage around electromagnetic-wave-based sensing and physiological measurement techniques. Initial sections examine radio frequency sensing alongside physical wave propagation mechanisms utilizing surface waves and Goubau lines. Subsequent chapters combine spatiotemporal electroencephalogram and electrocardiogram signal analysis with artificial intelligence and deep learning algorithms to process complex physiological bio-signal data effectively.
This volume provides structured methodological guidance for biomedical researchers and engineers working on bioimpedance-based glucose sensing. By linking signal extraction to system-level testing, simulation, and engineering prototyping, the resource supports multidisciplinary teams advancing non-invasive diagnostic systems.
Table of Contents
Chapter 1: Diabetes, glucose sensing, requirements, challenges, and techniques
Chapter 2: Current progress in RF sensing for glucose monitoring
Chapter 3: Electromagnetic wave sensors: Design, fabrication, and development
Chapter 4: In vitro and In vivo testing methods
Chapter 5: Physiological technique for glucose estimation: Methods, applications, and advantages
Chapter 6: Prediction of prediabetes: Artificial neural networking
Chapter 7: Spatiotemporal feature extraction and analysis of ECG and EEG signals for glucose monitoring
Chapter 8: Bioimpedance-based approach
Chapter 9: Portable and noninvasive blood glucose monitoring
Chapter 10: Roles of surface waves and Goubau lines
Chapter 11: Colorimetric sensing platforms for noninvasive glucose monitoring
Chapter 12: Photoplethysmography (PPG) based noninvasive blood glucose monitoring
Chapter 13: Sensing and control: Future and vision
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