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020 _a9780750353465
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020 _a9780750353458
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020 _z9780750353441
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024 7 _a10.1088/978-0-7503-5346-5
_2doi
035 _a(CaBNVSL)thg00083599
035 _a(OCoLC)1378317619
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aTK7872.D48
_bC647 2022eb vol. 2
072 7 _aTBM
_2bicssc
072 7 _aTEC064000
_2bisacsh
245 0 0 _aCognitive sensors.
_nVolume 2,
_pApplications in smart healthcare /
_cedited by G.R. Sinha, Varun Bajaj.
264 1 _aBristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) :
_bIOP Publishing,
_c[2023]
300 _a1 online resource (various pagings) :
_billustrations (some color).
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _a[IOP release $release]
490 1 _aIOP series in sensors and sensor systems
490 1 _aIOP ebooks. [2023 collection]
500 _a"Version: 20230401"--Title page verso.
504 _aIncludes bibliographical references.
505 0 _a1. 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.
520 3 _aIn 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.
521 _aIndustrial and academic researchers in sensor science and technology, smart systems, IoT, biomedical engineering.
530 _aAlso available in print.
538 _aMode of access: World Wide Web.
538 _aSystem requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.
545 _aG.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.
588 0 _aTitle from PDF title page (viewed on May 2, 2023).
650 0 _aWireless sensor networks.
_959658
650 0 _aMedical informatics.
_960693
650 7 _aInstruments & instrumentation engineering.
_2bicssc
_996691
650 7 _aTECHNOLOGY & ENGINEERING / Sensors.
_2bisacsh
_996692
700 1 _aSinha, G. R.,
_d1975-
_eeditor.
_996693
700 1 _aBajaj, Varun,
_eeditor.
_996694
710 2 _aInstitute of Physics (Great Britain),
_epublisher.
_917702
776 0 8 _iPrint version:
_z9780750353441
_z9780750353472
830 0 _aIOP (Series).
_pRelease 23.
830 0 _aIOP series in sensors and sensor systems.
_996695
830 0 _aIOP ebooks.
_p2023 collection.
856 4 0 _uhttps://iopscience.iop.org/book/edit/978-0-7503-5346-5
942 _cE-Books
999 _c68409
_d68409