In recent years, new applications on computer-aided technologies for telemedicine have emerged. Therefore, it is essential to capture this growing research area concerning the requirements of telemedicine. This book presents the latest findings on soft computing, artificial intelligence, Internet of Things and related computer-aided technologies for enhanced telemedicine and e-health. Furthermore, this volume includes comprehensive reviews describing procedures and techniques, which are crucial to support researchers in the field who want to replicate these methodologies in solving their related research problems. On the other hand, the included case studies present novel approaches using computer-aided methods for enhanced telemedicine and e-health. This volume aims to support future research activities in this domain. Consequently, the content has been selected to support not only academics or engineers but also to be used by healthcare professionals.
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In recent years, new applications on computer-aided technologies for telemedicine have emerged. Furthermore, this volume includes comprehensive reviews describing procedures and techniques, which are crucial to support researchers in the field who want to replicate these methodologies in solving their related research problems.
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Chapter 1: Research Challenges and Opportunities Towards a Holistic View of Telemedicine Systems: A systematic review.- Chapter 2: Telemedicine in the Current New Normal: Opportunities and Barriers.- Chapter 3: Teledentistry. A New Approach in Dental Medicine.- Chapter 4: Smart Management of Telemedicine Rooms in an e-Hospital Emergency Department.- Chapter 5: An IoT cloud model for diabetes home-based care: a case study for perceived future feasibility.
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In recent years, new applications on computer-aided technologies for telemedicine have emerged. Therefore, it is essential to capture this growing research area concerning the requirements of telemedicine. This book presents the latest findings on soft computing, artificial intelligence, Internet of Things and related computer-aided technologies for enhanced telemedicine and e-health. Furthermore, this volume includes comprehensive reviews describing procedures and techniques, which are crucial to support researchers in the field who want to replicate these methodologies in solving their related research problems. On the other hand, the included case studies present novel approaches using computer-aided methods for enhanced telemedicine and e-health. This volume aims to support future research activities in this domain. Consequently, the content has been selected to support not only academics or engineers but also to be used by healthcare professionals.
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Includes recent developments, case studies, new methods on application of soft computing in telemedicine and e-health domain area Takes into account the emerging requirements of enhanced telemedicine solutions regarding the current pandemic scenario Presents the latest findings on how data science and soft computing -based methods are being applied in telemedicine and e-health
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Produktdetaljer
ISBN
9783030701130
Publisert
2022-05-10
Utgiver
Vendor
Springer Nature Switzerland AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Biographical note
Gonçalo Marques holds a PhD in Computer Science Engineering and is member of the Portuguese Engineering Association (Ordem dos Engenheiros). He is currently working as Assistant Professor lecturing courses on programming, multimedia and database systems. Furthermore, he worked as a Software Engineer in the Innovation and Development unit of Groupe PSA automotive industry from 2016 to 2017 and in the IBM group from 2018 to 2019. His current research interests include Internet of Things, Enhanced Living Environments, machine learning, e-health, telemedicine, medical and healthcare systems, indoor air quality monitoring and assessment, and wireless sensor networks. He has more than 60 publications in international journals and conferences, is a frequent reviewer of journals and international conferences and is also involved in several edited books projects.Dr. Akash Kumar Bhoi has completed his B.Tech. (Biomedical Engineering) from Trident Academy of Technology, BPUT University, Odisha and M.Tech. (Biomedical Instrumentation) from Karunya University, Coimbatore in the year 2009 and 2011 respectively. In 2019 he is awarded Ph.D. in the area of Biomedical Signal Processing from Dept. of Electrical and Electronics Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, India. He is working as Assistant Professor-I in the Department of Electrical and Electronics Engineering at Sikkim Manipal Institute of Technology (SMIT), India since 2012. He is the University Ph.D. Course Coordinator for “Research & Publication Ethics (RPE)”. He is member of IEEE, ISEIS and IAENG, associate member of IEI, UACEE and editorial board member reviewer of Indian and international journals. He is also a regular reviewer of journals of repute namely IEEE, Springer, Elsevier, Taylor and Francis, Inderscience etc. His areas of research are biomedical signal processing, medical image processing, sensors and transducers, and medical instrumentation. He haspublished several papers in national and international journals and conferences. He has 70+ documents registered in Scopus database. 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.
ISABEL DE LA TORRE-DÍEZ is currently a Professor with the Department of Signal Theory and Communications and Telematic Engineering, University of Valladolid, Spain. She is also the Leader of the GTe Research Group. Her research interests include design, development and evaluation of telemedicine applications, services and systems, e-health, m-health, electronic health records (EHRs), EHRs standards, biosensors, cloud and fog computing, data mining, quality of service (QoS), and quality of experience (QoE) applied to the health field.
BEGOÑA GARCÍA-ZAPIRAIN was born in San Sebastian (Spain). She graduated in Communications Engineering, specializing in Telematics at the Basque Country University, Bilbao (Spain) in 1994. In 2004, she defended her doctoral thesis in biomedical signal processing research area. After four years of working for ZIV Company, in 1997, Prof. García-Zapirain joined the University of Deusto as a lecturer in signal theory and electronics at the Engineering School. She was the head of the Telecommunication Department at the University of Deusto from 2002-2008 and head of DeustoTech-LIFE Department from 2008-2018. In 2001 she created eVIDA research group (evida.deusto.es). She has participated in more than 100 research projects on international, national and regional levels, published more than 70 papers in international scientific ISI indexed journals, and presented more than 160 papers in international and national scientific conferences. She has been supervising more than 10 thesis and has ongoing 5 PhDstudents. She has strong collaborations with research labs in USA, France, Ireland, and Netherlands among others. She has 5 research awards at national level.