Advanced Research in Electronic Devices for Biomedical and mHealth

1. Machine Learning in the Healthcare Domain
Tulika Narang and Harshita Rai

2. Emerging Trends in IoT with Machine Learning Techniques for Biomedical and Healthcare Systems
Esha Tripathi, Upendra Kumar, and Abhay Kumar Tripathi

3. Machine Learning Techniques Used for Diagnosing Cardiac Abnormalities Using Electrocardiograms
Badavath Mohan Rao, Aman Kumar, Puneeta Marwaha, and Amit Bage

4. Predicting Resilience of Blood Groups Against the COVID-19 Delta Variant Using Machine Learning
Ashutosh Singh, Rohit Srivastava, Diwakar Yagyasen, and Upendra Kumar

5. A Key Role of Convolutional Neural Networks in Biomedical Imaging Applications
Manju Devi, Sukhdip Singh, and Shailendra Tiwari

6. The Most Recent Developments and Applications of Smartphone-Based Devices in Biomedical and mHealth
Upendra Kumar, Rajesh Kumar Kesharwani, and Manoj Kumar Pal

7. Real-Time Health Monitoring Using IoT Sensors
R. K. Jarial, Adarsh Dubey, and Abhinav Dubey

8. IC Design: An Approach of Study in Biomedical and mHealth Care Applications
Rohit Srivastava, Chandrabhan Singh, Himanshu Kumar Shukla, andUpendra Kumar

9. Experimental Setup and Analysis of Energy Harvesting Systems for a Low Power Biomedical Application: Lab on Chip Application of Impedance Micropump and Microfluidic Logic Gate
Kamal Kishor Upadhyay, Shubham Shukla, Deepika Agrawal, Sudhakar Pandey, and Narendra Kumar Shukla

10. Analysis and Application of Power Amplifiers to Biomedical Instrumentation
Neevatika Verma, Saurabh Kumar, and Nitesh Tiwari