Sinha G.R., Baja V. (eds.) Cognitive Sensors: Applications in smart healthcare. Volume 2

IOP Publishing Ltd, 2023. — 244 p. — (IOP Series in Sensors and Sensor Systems). — ISBN 978-0-7503-5344-1.Когнитивные датчики: приложения в интеллектуальном здравоохранении. Том 2
In volume 1, Cognitive Sensors, we have already discussed that cognitive sensors are intelligent, and smart sensors, which are used to capture a huge amount of data, can interpret and provide the appropriate classification using suitable Artificial intelli gence (AI) or Machine learning (ML) techniques. This book is a continuation of volume 1, with a focus on smart healthcare. We discuss how cognitive sensors and sensing technologies are used in the field of healthcare, especially dealing with different modalities of medical imaging and biomedical imaging, and how the data which are captured using intelligent sensors are pre-processed, processed, analyzed and classified for different applications of healthcare in the areas of disease diagnosis, detection of abnormalities and similar applications of healthcare.
This book on Cognitive Sensors, Volume 2: Applications in smart healthcare, has 11 chapters covering the complete scope of the book and a chapterwise description is given as followsPreface
1 Introduction to smart healthcare and the role of cognitive sensors
2 IoT-enabled real time student health monitoring and interactive system using LoRa
3 Automated depression detection using ensemble light feed-forward neural Net EEG quantitative biomarkers
4 Use of deep convolutional networks and transfer learning in classifying PTSD patients and a control group
5 Prediction of depressive symptoms using machine learning classifiers
6 A review on a sensor based brain–computer interface and its applications
7 Ambulatory monitoring technique for smart healthcare systems
8 EEG-based emotion recognition for improving healthcare services
9 EEG-based emotional duality recognition for determining human emotions and holistic health
10 Intelligent healthcare and diagnosis using smart cognitive sensing
11 The future of smart healthcare