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Mobile Computing Solutions for Healthcare Systems

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  • Дата: 17-03-2023, 20:52
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Mobile Computing Solutions for Healthcare SystemsНазвание: Mobile Computing Solutions for Healthcare Systems
Автор: Sivakumar R., Dimiter Velev, Basim Alhadidi, S. Vidhya
Издательство: Bentham Books
Год: 2023
Страниц: 247
Язык: английский
Формат: pdf (true)
Размер: 41.4 MB

Mobile Health (M-Health) integrates the Internet of Things, mobile computing, medical image processing, medical sensor, and communications technology for mobile healthcare applications. Wireless Body Area Networks (WBANs) of intelligent sensors represent an emerging technology for system integration with great potential for unobtrusive ambulatory health monitoring during extended periods. However, system designers will have to resolve several issues, such as severe limitations of sensor weight and size necessary to improve user compliance, sensor resource constraints, intermittent availability of uplink connectivity, and reliability of transmission, security, and interoperability of different platforms. In addition, there are many challenges like Frequency Band Selection, Antenna Design, Channel Modelling, Energy-efficient hardware, Real-time connectivity over heterogeneous networks Security and Privacy, and others. With the WBAN placed on the patient body in rural areas and the mobile computing devices having the intelligence to acquire and process the data immediately, some of the issues like security and privacy are overcome. More intelligent processing is made available in handheld devices by building more facilities in the device software. This book focuses on recent developments in integrating AI, machine learning methods, medical image processing, advanced network security, and advanced antenna design techniques to bring M-Healthcare systems, leading to a new, promising, and secure M-Healthcare system. This book aims to bring together researchers and practitioners to address several types of research and achievements in the field of M-Healthcare-based intelligent IoT and Machine Learning based systems for personalized intelligent M-Healthcare and remote monitoring applications.

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