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Titlebook: Efficient Data Handling for Massive Internet of Medical Things; Healthcare Data Anal Chinmay Chakraborty,Uttam Ghosh,Yogesh Shelke Book 202

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發(fā)表于 2025-3-21 18:25:15 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Efficient Data Handling for Massive Internet of Medical Things
副標題Healthcare Data Anal
編輯Chinmay Chakraborty,Uttam Ghosh,Yogesh Shelke
視頻videohttp://file.papertrans.cn/303/302973/302973.mp4
概述Presents a rigorous introduction to theoretical foundations and practical solutions for Internet of Medical Things.Covers data handling, intelligence and security and related issues to guide the massi
叢書名稱Internet of Things
圖書封面Titlebook: Efficient Data Handling for Massive Internet of Medical Things; Healthcare Data Anal Chinmay Chakraborty,Uttam Ghosh,Yogesh Shelke Book 202
描述This book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics. This book brings together the latest industrial and academic progress, research, and development efforts within the rapidly maturing health informatics ecosystem. Contributions highlight emerging data fusion topics that support prospective healthcare applications. The book also presents various technologies and concerns regarding energy aware and secure sensors and how they can reduce energy consumption in health care applications. It also discusses the life cycle of sensor devices and protocols with the help of energy-aware design, production, and utilization, as well as the Internet of Things technologies such as tags, sensors, sensing networks, and Internet technologies. ?In a nutshell, this book gives a comprehensive overview of thestate-of-the-art theories and techniques for massive data handling and access in medical data and smart health in IoT, and provides useful guidelines for the design of massive Internet of Medical Things.?.
出版日期Book 2021
關鍵詞Internet of Things and healthcare; Sensors and healthcare; Healthcare informatics; Optimization and hea
版次1
doihttps://doi.org/10.1007/978-3-030-66633-0
isbn_softcover978-3-030-66635-4
isbn_ebook978-3-030-66633-0Series ISSN 2199-1073 Series E-ISSN 2199-1081
issn_series 2199-1073
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Big Medical Data Analytics Under Internet of Things,ggregated health data is deployed in the cloud which enables rapid and accurate collection of records and the analysis of data streams. This chapter presents an overview of IoT and Big Data analytics (BDA) in healthcare. It presents the sources of Big Data in healthcare, Big data tools and platforms
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Big Medical Data Analytics Using Sensor Technology,g at domestic. The inaccessible structures can reveal very crucial genetic restrictions of the sufferers in actual period, examine fitness situations, evaluating them, and maximum crucial, offer criticism. Sensors are utilized in electronic clinical and nonclinical system and convert diverse types o
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Sensor Informatics of IoT, AR/VR, and MR in Healthcare Applications,extreme part of these emerging technologies since all these advancements are based on data. Before entering into the data analytics, in this chapter, the essential informatics of various sensors used in distinct applications based on emerging technology such as IoT, AR/VR, and Mixed Reality in healt
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Cloud and IoMT-Based Big Data Analytics System During COVID-19 Pandemic,ocess vast amounts of data collected during COVID-19 monitoring and surveillance in parallel. For speedy tracking, evaluation, decision-making, and improved care approvals from doctors via IoMT devices to the advanced cloud and data analytics layer, data are gathered from diverse wearable sensors. T
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