XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019
XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019

Author: Jorge Henriques

Publisher: Springer Nature

Published: 2019-09-24

Total Pages: 2058

ISBN-13: 3030316351

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This book gathers the proceedings of MEDICON 2019 – the XV Mediterranean Conference on Medical and Biological Engineering and Computing – which was held in September 26-28, 2019, in Coimbra, Portugal. A special emphasis has been given to practical findings, techniques and methods, aimed at fostering an effective patient empowerment, i.e. to position the patient at the heart of the health system and encourages them to be actively involved in managing their own healthcare needs. The book reports on research and development in electrical engineering, computing, data science and instrumentation, and on many topics at the interface between those disciplines. It provides academics and professionals with extensive knowledge on cutting-edge techniques and tools for detection, prevention, treatment and management of diseases. A special emphasis is given to effective advances, as well as new directions and challenges towards improving healthcare through holistic patient empowerment.

8th European Medical and Biological Engineering Conference
8th European Medical and Biological Engineering Conference

Author: Tomaz Jarm

Publisher: Springer Nature

Published: 2020-11-29

Total Pages: 1198

ISBN-13: 3030646106

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This book aims at informing on new trends, challenges and solutions, in the multidisciplinary field of biomedical engineering. It covers traditional biomedical engineering topics, as well as innovative applications such as artificial intelligence in health care, tissue engineering , neurotechnology and wearable devices. Further topics include mobile health and electroporation-based technologies, as well as new treatments in medicine. Gathering the proceedings of the 8th European Medical and Biological Engineering Conference (EMBEC 2020), held on November 29 - December 3, 2020, in Portorož, Slovenia, this book bridges fundamental and clinically-oriented research, emphasizing the role of education, translational research and commercialization of new ideas in biomedical engineering. It aims at inspiring and fostering communication and collaboration between engineers, physicists, biologists, physicians and other professionals dealing with cutting-edge themes in and advanced technologies serving the broad field of biomedical engineering.

Internet of Things in Modern Computing
Internet of Things in Modern Computing

Author: Vinay Chowdary

Publisher: CRC Press

Published: 2023-07-13

Total Pages: 260

ISBN-13: 1000904733

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The text focuses on the theory, design, and implementation of the Internet of Things (IoT), in a modern communication system. It will be useful to senior undergraduate, graduate students, and researchers in diverse fields domains including electrical engineering, electronics and communications engineering, computer engineering, and information technology. Features: Presents all the necessary information on the Internet of Things in modern computing Examines antenna integration challenges and constraints in the Internet of Things devices Discusses advanced Internet of Things networks and advanced controllers required for modern architecture Explores security and privacy challenges for the Internet of Things-based health care system Covers implementation of Internet of Things security protocols such as MQTT, Advanced Message Queuing Protocol, XMPP, and DSS The text addresses the issues and challenges in implementing communication and security protocols for IoT in modern computing. It further highlights the applications of IoT in diverse areas including remote health monitoring, remote monitoring of vehicle data and environmental characteristics, industry 4.0, 5G communications, and Next-gen IoT networks. The text presents case studies on IoT in modern digital computing. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in diverse fields domains including electrical engineering, electronics and communications engineering, computer engineering, and information technology.

Digital Technology in Public Health and Rehabilitation Care
Digital Technology in Public Health and Rehabilitation Care

Author: Raymond K. Y. Tong

Publisher: Elsevier

Published: 2024-09-04

Total Pages: 419

ISBN-13: 0443222711

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Digital Technology in Public Health and Rehabilitation Care: COVID Era provides an in-depth examination on how digital technology has impacted public health and rehabilitation during the COVID-19 pandemic. The book showcases the range of digital technology applications utilized in healthcare, including the use of mobile phones, computers, wearable and non-wearable technologies, sensors, 3D printers, robotics, Artificial Intelligence (AI), internet technologies, websites and apps, virtual and augmented realities, and computer games. With a wealth of case studies and insights, this book is an essential resource on the impact of digital technology on public health and rehabilitation services in the COVID-19 era. The COVID-19 pandemic had a major impact on the rehabilitation services available to those in need, particularly for older adults, people with physical and cognitive impairments, children with autism and ADHD, and individuals with physical and mental health disorders. In response to these challenges, the book focuses on the potential for advanced digital technologies to revolutionize public health and rehabilitation services, highlighting the need for researchers and healthcare professionals to work together to promote digital-based interventions. - Provides in-depth insights into the various digital technologies that are impacting public health and rehabilitation, including Mobile/Smart phone, Computers, wearable and non-wearable technologies, sensors, 3D printers/technologies, robotics, and more - Highlights the impact of the COVID-19 pandemic on public health and rehabilitation services, and how digital technology can help provide effective solutions during these challenging times - Brings together the expertise of multidisciplinary professionals, including researchers, doctors, nurses, physical therapists, occupational therapists, speech therapists, psychologists, and more

Nanotechnology Based Advanced Medical Textiles and Biotextiles for Healthcare
Nanotechnology Based Advanced Medical Textiles and Biotextiles for Healthcare

Author: Prashansa Sharma

Publisher: CRC Press

Published: 2024-05-27

Total Pages: 339

ISBN-13: 1003816894

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This book provides systematic coverage of research into medical and biotextiles based on nanomaterials as applicable in healthcare. Divided into three sections, it explains manufacturing, properties, types, and recent developments in nanotechnology based medical textiles backed by case studies. It includes a wide range of different clinical applications of biotextiles for healthcare including nanotextile scaffolds, nano-based artificial organs, surgical sutures, enzymatic assisted enhanced biotextiles, tissue engineering or drug delivery system via nanofibers, and so forth. Features: Provides strong and broad overview of medical applications in the field of nano and biotextiles. Highlights different approaches, recent research, and emerging innovations. Covers designing or developing nanomaterials based antiviral surface disinfectants with self-cleaning property. Reviews different applications of nano based medical textiles such as deodorizing or pH control clothing for hygiene maintenance. Includes the real-life applications based descriptive case studies that offer a diverse range of perspectives. This book is aimed at researchers and graduate students in textile technology and engineering, and medical textiles.

Exploring Digital Resilience
Exploring Digital Resilience

Author: Roberta Cuel

Publisher: Springer Nature

Published: 2022-07-23

Total Pages: 318

ISBN-13: 3031109023

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This book explores multidimensional issues concerning digital resilience and analyzes how people and organizations maintain, enhance and protect value stemming from digital technologies. Society is now heading for a future in which organizations and people will increasingly depend on digital technologies, yet to date many are still unaware of the scale and risks associated with the digital transformation. As a result, there is an urgent need for digital resilience to drive a fundamental shift in the way people and organizations understand digital technologies, risks and opportunities. The book gathers a selection of the best papers presented at the annual conference of the Italian chapter of AIS, which took place in Trento, Italy, in October 2021. The diverse range of views put forward by the authors makes it particularly relevant for scholars and practitioners interested in organization, and for all of us living in the digital transformation era.

Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing
Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing

Author: Rajesh Kumar Tripathy

Publisher: CRC Press

Published: 2024-06-06

Total Pages: 227

ISBN-13: 1040028772

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The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book: Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signals Presents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interface Highlights the latest machine learning and deep learning methods for neural signal processing Discusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysis Showcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniques It is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering.