Cognitive sensors.
"Version: 20230401"--Title page verso.Includes bibliographical references.1. Introduction to smart healthcare and the role of cognitive sensors / Smith K. Khare, Asif Manzoor Khan, Varun Bajaj and G.R. Sinha -- 2. IoT-enabled real time student health monitoring and interactive system using LoRa / P. Muthu Subramanian and A. Rajeswari -- 3. Automated depression detection using ensemble light feed-forward neural Net EEG quantitative biomarkers / Urvashi Prakash Shukla and Shreeya Garg -- 4. Use of deep convolutional networks and transfer learning in classifying PTSD patients and a control group / Arman Beykmohammadi, Zahra Ghanbari and Mohammad Hassan Moradi -- 5. Prediction of depressive symptoms using machine learning classifiers / Priyal Padheriya, Abhijeet Rathod and Manan Shah -- 6. A review on a sensor based brain-computer interface and its applications / Devanand Bhonsle, Somnath Baksi, Anu G. Pillai, Roshni Rahangdale, Chandradatta Verma and Maleika Heenaye-Mamode Khan -- 7. Ambulatory monitoring technique for smart healthcare systems / Rakesh Kumar Gumasta and Ajay Somkuwar -- 8. EEG-based emotion recognition for improving healthcare services / Leena Bhole and Maya Ingle -- 9. EEG-based emotional duality recognition for determining human emotions and holistic health / Ritesh Joshi and Maya Ingle -- 10. Intelligent healthcare and diagnosis using smart cognitive sensing / Haard Shah, Dhairya Shah and Manan Shah -- 11. The future of smart healthcare / Rakesh Ranjan and Bikash Chandra Sahana.In the modern world, sensors and sensor networks are critical features in developing applications for control and automation in engineering and technology. Cognitive Science is a multidisciplinary area of research that covers artificial intelligence, neuroscience, mathematics, philosophy, psychology, linguistics, automated diagnosis etc. Cognitive sensors and associated AI and algorithms are most important components of cognitive science research and studies. This book will provide a review of the emerging theme of cognitive sensors, how it functions and its applications in a range of disciplines. Volume 2 features cognitive sensors in smart healthcare, including appropriate signal processing, filtering, machine learning and AI for medical cognitive science analysis and applications; case studies, brain disorder and stress analysis. Volume 1 is available here. Part of IOP Series in Sensors and Sensor Systems.Industrial and academic researchers in sensor science and technology, smart systems, IoT, biomedical engineering.Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.G.R. Sinha (PhD, Fellow IETE, Fellow ISTE, SMIEEE) is Adjunct Professor at the International Institute of Information Technology Bangalore (IIITB) India. He has published 300 research papers, book chapters and books, and has edited 25 books in the field of Cognitive Science, Biomedical Signal Processing, Biometrics, Optimization Techniques, Sensors, Outcome based Education, and Data Deduplication. His research interest includes Biometrics, Cognitive Science, Medical Image Processing, Computer Vision, Outcome based Education (OBE) and ICT tools for developing Employability Skills. Varun Bajaj (PhD, MIEEE 16 SMIEEE20) is working as Associate Professor in the discipline of Electronics and Communication Engineering, at the Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Jabalpur, India. He received his Ph.D. degree in the Discipline of Electrical Engineering, at Indian Institute of Technology Indore, India in 2014. He has 151 publications which include journal papers (98), conference papers (32), books (10), and book chapters (11). He is a recipient of various reputed national and international awards. His research interests include Biomedical Engineering, AI in Healthcare, Brain Computer Interface, Pattern Recognition, and ECG signal processing.Title from PDF title page (viewed on May 2, 2023).
No copy data
No other version available