Emerging Diagnostic Glucose Sensing Approaches: Diabetes
Editat de Abhishek Kandwal, Nie Zedong, Rohit Jasrotiaen Limba Engleză Paperback – iun 2026
- 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
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Specificații
ISBN-13: 9780443363481
ISBN-10: 044336348X
Pagini: 500
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
ISBN-10: 044336348X
Pagini: 500
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
Cuprins
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