IoT in Healthcare and Ambient Assisted Living

1. Auflage 2021
ISBN: 978-981-15-9896-8
Verlag: Springer Nature Singapore

Buch, Englisch, Band 933, 371 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 746 g

Reihe: Studies in Computational Intelligence

This book presents the state of the art of Internet of Things (IoT) from the perspective of healthcare and Ambient Assisted Living (AAL). It discusses the emerging technologies in healthcare services used for healthcare professionals and patients for enhanced living environments and public health. The topics covered in this book include emerging eHealth IoT applications, Internet of Medical Things, health sensors, and wearable sensors for pervasive and personalized healthcare, and smart homes applications for enhanced health and well-being. The book also presents various ideas for the design and development of IoT solutions for healthcare and AAL. It will be useful for bioengineers and professionals working in the areas of healthcare as well as health informatics.

Zielgruppe

Research

Autoren/Hrsg.

Marques, Gonçalo

K. S., Hareesha

Bhoi, Akash Kumar

Albuquerque, Victor Hugo C. de

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik

Inhaltsverzeichnis

The Internet of Things for Healthcare: Applications, Selected Cases and Challenges.- IoT-based computational frameworks in disease prediction and healthcare management: strategies, challenges,and potential.- SmartHealth: IoT-Enabled Context Aware 5G Ambient Cloud Platform.- Internet of Things in Healthcare: A Survey of Telemedicine Systems used for Elderly People.- Remote Patient Monitoring: Health Status detection and prediction in IoT based healthcare.- IoMT-Based Wearable Body Sensors Network Healthcare Monitoring System.- Wearable Sensors for Pervasive and Personalized Healthcare.- Adoption of Wearable Devices by Persons with Dementia: Lessons from a non-pharmacological intervention enabled by a social robot.

Über Autor(innen)

Gonçalo Marques holds a BSc in Computer Science Engineering (2013) and an MSc in Mobile Computing (2015). He has a PhD in Computer Science Engineering from the University of Beira Interior (2020). Furthermore, he is working as a Senior Software Engineer and is member of Ordem dos Engenheiros (the Portuguese Engineering Association). He worked as a Software Engineer in the Innovation and Development unit of Groupe PSA from 2016 to 2017 and at SOFTINSA, an IBM group company, from 2018 to 2019. His current research interests include Internet of Things, Ambient Assisted Living, Enhanced Living Environments, e-Health and healthcare systems. 
Dr. Akash Kumar Bhoi [Ph.D., M.Tech, B.Tech] working as Assistant Professor in the Department of Electrical and Electronics Engineering at Sikkim Manipal Institute of Technology (SMIT), SMU, India. He has specialized in the field of Biomedical Engineering.  His areas of research are biomedical signalprocessing, Medical Image Processing, Computational Approaches and Patter Recognition etc.. He is also a regular reviewer of journals of repute namely IEEE, Springer, Elsevier, Taylor and Francis, Inderscience etc. He has published several papers in national and international journals and conferences. He has also served on numerous organizing panels for the international conferences and workshops. He is currently editing several books with Springer Nature and serving as Guest editor for special issues of the journal like Springer Nature and Inderscience.
Victor Hugo C. de Albuquerque [M’17, SM’19] is a professor and senior researcher at the University of Fortaleza, UNIFOR, Brazil, and Data Science Director at the Superintendency for Research and Public Safety Strategy of Ceará State (SUPESP/CE), Brazil. He has a Ph.D in Mechanical Engineering from the Federal University of Paraíba, an MSc in Teleinformatics Engineering from the Federal University of Ceará, and he graduated in Mechatronics Engineering at the Federal Center of Technological Education of Ceará. He is currently a Full Professor of the Graduate Program in Applied Informatics of UNIFOR. He is a specialist, mainly, in IoT, Machine/Deep Learning, Pattern Recognition, Robotic. 

Dr. Hareesha K.S. is a Professor, Department of Computer Applications at Manipal Institute of Technology, MAHE where he has been since 2008. He is also a Director, Kumudha Health Tech. Pvt. Ltd., spinoff of MAHE startup company started in the year 2017 supported by BIRAC, DBT, New Delhi. He also Co-ordinates Centre for VR, MAHE and he is a Senior Member of IEEE society and MISTE. His research interest focus on improving the machine learning algorithms and understanding, design of intelligent soft computing models in digital image processing and data mining. He is also works on Virtual Reality and Augmented Reality for medical surgery planning. In these areas he has published quite a few research articles in a reputed international journals indexed by Scopus and WoS. He has got fellowship awards from National Science Foundation, USA and Federation University, Australia and recently selected for AICTE-UKIERI Technical Leadership Development Programme for his research and academic contributions.