Emerging Diagnostic Glucose Sensing Approaches surveys past and recent work on non-invasive blood glucose monitoring. The book highlights two complementary paths: electromagnetic-wave-based sensing, using physical models and advanced sensors to measure glucose non-invasively; and physiological techniques (ECG/EEG) integrated with artificial intelligence and deep learning to infer glucose levels. It discusses how physical models, biomedical methodologies, and engineering prototyping enable accurate analysis and device development. With a focus on breakthroughs in electromagnetic sensors and non-invasive research, this volume serves as a foundational reference for biomedical researchers and engineers pursuing next-generation glucose monitoring.

• 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