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Emerging Diagnostic Glucose Sensing Approaches cover

Emerging Diagnostic Glucose Sensing Approaches

Diabetes

by Abhishek Kandwal, Nie Zedong, Rohit Jasrotia

1st Edition

Publisher: Elsevier

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Book Details

Print ISBN9780443363481
eText ISBN9780443363498
PublisherElsevier
Publishing Year2026
Edition1st Edition
LanguageEnglish
Pages290

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

  1. Chapter 1: Diabetes, glucose sensing, requirements, challenges, and techniques

  2. Chapter 2: Current progress in RF sensing for glucose monitoring

  3. Chapter 3: Electromagnetic wave sensors: Design, fabrication, and development

  4. Chapter 4: In vitro and In vivo testing methods

  5. Chapter 5: Physiological technique for glucose estimation: Methods, applications, and advantages

  6. Chapter 6: Prediction of prediabetes: Artificial neural networking

  7. Chapter 7: Spatiotemporal feature extraction and analysis of ECG and EEG signals for glucose monitoring

  8. Chapter 8: Bioimpedance-based approach

  9. Chapter 9: Portable and noninvasive blood glucose monitoring

  10. Chapter 10: Roles of surface waves and Goubau lines

  11. Chapter 11: Colorimetric sensing platforms for noninvasive glucose monitoring

  12. Chapter 12: Photoplethysmography (PPG) based noninvasive blood glucose monitoring

  13. Chapter 13: Sensing and control: Future and vision

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