Nanosensors for Futuristic Smart and Intelligent Healthcare Systems (eBook, PDF)

Redaktion: Kaushik, Suresh; Skotti, Efstathia; Soni, Vijay

• Format: PDF

Produktbeschreibung

The main focus of this book is the basic concepts of nanomaterials and sensing paradigms for medical devices based on nanosensor technology. The book will be valuable to researchers, engineers, scientists interested in the field of healthcare for monitoring health status in real-time.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 414
• Erscheinungstermin: 18. August 2022
• Englisch
• ISBN-13: 9781000684247
• Artikelnr.: 64146010

Inhaltsangabe

Section I: Sensing Paradigms of Wearables and Implantable Devices for
Medical Diagnostics 1. Smart Nanosensors in Healthcare: Recent Developments
and Applications 2. Nanosensor Technology in Biomarker Detection 3.
Innovative Nanobiosensors for Infectious Disease Diagnosis 4. Wearable
Devices for Real-time Disease Monitoring in Healthcare 5. Nanocarbon-Based
Sensor for Wearable Health Monitoring 6. Electrochemical Wearable Sensor
for Biomedical and Healthcare Applications 7. Smart Textile-Based
Interactive, Stretchable and Wearable Sensors for Healthcare 8. E-Skin for
Futuristic Nanosensor Technology for the Healthcare System 9. Implantable
and Non-Invasive Wearable and Dermal Nanosensors for Healthcare
Applications Section II: Multiplexed Sensing and Wireless Tools for
Monitoring Real-time Health Status 10. Monitoring Human Health in Real-Time
using Nanogenerator-Based Self-Powered Sensors 11. Nanogenerator Based
Self-Powered Sensors for Healthcare Applications 12. Minimally Invasive
Microneedle Sensors: Developments in Wearable Healthcare Devices 13. Smart
Wireless Nanosensor Systems for Human Healthcare 14. Nanosensors and their
Potential Role in Internet of Medical Things 15. Microfluidic-Chip
Technology for Disease Diagnostic Applications via Dielectrophoresis 16.
Nanosensor Arrays: Innovative Approaches for Medical Diagnosis 17. Smart
Nanosensors for Healthcare Monitoring and Disease Detection using AIoT
Framework