Electronic Devices, Circuits, and Systems for Biomedical Applications: Challenges and Intelligent Approach

ISBN-13: 9780323851725 / Angielski / Miękka / 2021 / 584 str.

Suman Lata Tripathi; Kolla Bhanu Prakash; Valentina Emilia Balas

Spis treści

1. Carbon-Based Electrodes as a Scaffold for the Electrochemical Sensing of Pharmaceuticals: A Special Case of Immunosuppressant Drugs 2. Selenium-Based Amorphous Semiconductors and their Biomedical Applications 3. Nanodevices in Biomedical Applications 4. Analytical Model and Sensitivity Analysis of a Gate Engineered Dielectric Modulated Double Gate MOSFET Based Biosensor 5. Design and Development of AlGaN/GaN HEMT for Bio-Sensing Applications for the Detection of Cancers, Tumours and Kidney Malfunctioning 6. Preprocessing of the Electrocardiogram Signal for a Patient Parameter Monitoring System 7. A Study on Sleep Stage Classification Based on a Single Channel EEG Signal 8. Implementation of Ultra Low-Power Electronics for Biomedical Applications 9. Sensors and their Application 10. ADC and DAC for Biomedical Applications 11. A Low Power Reconfigurable ADC for Bioimpedance Monitoring Systems 12. Design of a 16-Bit 500 MS/s SAR ADC for Low Power Applications 13. Design and Applications of Rail to Rail FC-OTA and Second Generation CCII+ Cells 14. The Role of Electronic Filters in Biomedical Applications: A Brief Survey 15. Fingerprint Based Smart Medical Emergency First Aid Kit Using IOT 16. An Overview to the Dynamics of Telemedicine & Robotics for the Benefit of Mankind 17. A LabVIEW-Based Guidance System to Assist in Reading and Analyzing the Traffic Rules Using Raspberry Pi for the Visually Impaired 18. An Overview of the Various Medical Devices for Diagnosis, Monitoring and Treatment of Diseases 19. Efficient Wireless Power Transfer System for Biomedical Applications 20. The Impact of IoT in Biomedical Applications: Part I 21. The Impact of IoT in Biomedical Applications: Part II 22. A Health Monitoring System 23. Real Time Health Monitoring using IoT Sensors 24. An E-Health Monitoring System 25. Comparative Analysis of Various Supervised Machine Learning Techniques for Diagnosis of COVID 19