Connected Health in Smart Cities

個数：

Connected Health in Smart Cities

El Saddik, Abdulmotaleb (EDT)/ Hossain, M. Shamim (EDT)/ Kantarci, Burak (EDT)

ウェブストア価格 ¥24,004（本体¥21,822）
Springer Nature Switzerland AG（2019/12発売）
外貨定価 US$ 109.99
ポイント 218pt

オンデマンド(OD/POD)版です。キャンセルは承れません。

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製本 Hardcover:ハードカバー版／ページ数 254 p.
商品コード 9783030278434

Full Description

This book reports on the theoretical foundations, fundamental applications and latest advances in various aspects of connected services for health information systems.
The twelve chapters highlight state-of-the-art approaches, methodologies and systems for the design, development, deployment and innovative use of multisensory systems and tools for health management in smart city ecosystems. They exploit technologies like deep learning, artificial intelligence, augmented and virtual reality, cyber physical systems and sensor networks.
Presenting the latest developments, identifying remaining challenges, and outlining future research directions for sensing, computing, communications and security aspects of connected health systems, the book will mainly appeal to academic and industrial researchers in the areas of health information systems, smart cities, and augmented reality.

1 Image Recognition Based Tool for Food Recording and Analysis :FoodLog.- 2 A Gesture Based Interface for Remote Surgery.- 3 Deep Learning in Smart Health: Methodologies, Applications, Challenges.- 4 Emotional States Detection Approaches Based On Physiological Signals for Healthcare Applications: A Review.- 5 Toward Uniform Smart Healthcare Ecosystems: A Survey on Prospects, Security, and Privacy Considerations.- 6 Biofeedback in Healthcare: State-of-the-Art and Meta Review.- 7 Health 4.0-Digital Twin for Health and Well-being.- 8 Incorporating Artificial Intelligence into Medical Cyber Physical Systems: A Survey.- 9 Health promotion technology and the aging population.- 10 Technologies for Motion Measurements in Connected Health Scenario.- 11 Healthcare systems: an overview of the most important aspects of current and future m-Health applications.- 12 Deep Learning for EEG Motor Imagery based Cognitive Healthcare.