Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering

Kumar Rana, Arun, Sharma, Vishnu, Rana, Sanjeev Kumar

Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering
  • 出版商: CRC
  • 出版日期: 2024-10-30
  • 售價: $5,140
  • 貴賓價: 9.5 折 $4,883
  • 語言: 英文
  • 頁數: 282
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032759232
  • ISBN-13: 9781032759234
  • 相關分類: Machine Learning、物聯網 IoT

    • 海外代購書籍(需單獨結帳)

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商品描述

This book provides a platform for presenting machine learning (ML)-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes ML techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers around the world.

Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering discusses the Internet of Things (IoT) and ML devices that are deployed for enabling patient health tracking, various emergency issues, and the smart administration of patients. It looks at the problems of cardiac analysis in e-healthcare, explores the employment of smart devices aimed at different patient issues, and examines the usage of Arduino kits where the data can be transferred to the cloud for Internet-based uses. The book includes deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. The authors also examine the role of IoT and ML in electroencephalography and magnetic resonance imaging, which play significant roles in biomedical applications. This book also incorporates the use of IoT and ML applications for smart wheelchairs, telemedicine, GPS positioning of heart patients, and smart administration with drug tracking. Finally, the book also presents the application of these technologies in the development of advanced healthcare frameworks.

This book will be beneficial for new researchers and practitioners working in the biomedical and healthcare fields. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practices of medical image retrieval and brain image segmentation.

商品描述(中文翻譯)

本書提供了一個平台，用於展示機器學習（ML）驅動的醫療技術，並提供最新技術的數學和概念背景。它描述了機器學習技術以及全球從業者和研究人員所使用的醫療物聯網（Internet of Medical Things）新興平台。

《機器學習與物聯網在生物醫學工程中的應用演變》討論了部署用於患者健康追蹤、各種緊急問題和智能患者管理的物聯網（IoT）和機器學習設備。它探討了電子健康護理中心臟分析的問題，研究了針對不同患者問題的智能設備的應用，並檢視了Arduino套件的使用，這些數據可以傳輸到雲端以供基於互聯網的使用。本書包括深度前饋網絡、正則化、優化算法、卷積網絡、序列建模和實用方法論。作者還探討了物聯網和機器學習在腦電圖和磁共振成像中的角色，這些在生物醫學應用中扮演著重要角色。本書還納入了物聯網和機器學習應用於智能輪椅、遠程醫療、心臟病患者的GPS定位以及藥物追蹤的智能管理。最後，本書還展示了這些技術在先進醫療框架開發中的應用。

本書將對於在生物醫學和醫療領域工作的新研究者和從業者有所裨益。它也適合廣泛的讀者群，雖然他們可能不是科學家，但對醫療影像檢索和腦影像分割的實踐也感興趣。

作者簡介

Arun Kumar Rana is currently Assistant Professor-3 in Galgotias College of Engineering and Technology, Greater Noida, India with more than 16 years of experience. His areas of interest includes image processing, wireless sensor network, Internet of Things, AI, and machine learning and embedded systems.

Vishnu Sharma is Professor and Dean CSE at ITS College of Engineering, Greater Noida India. Dr. Sharma completed his BTech, MTech, and PhD (CSE) in 2012 from the Government Autonomous Institute, Madhav Institute of Technology and Science (M.I.T.S.) Gwalior, MP, in Computer Science and Engineering, and was affiliated to Rajiv Gandhi Technical University, Bhopal, India. His areas of interest are mobile computing, cybersecurity, and advanced mobile computing.

Sanjeev Kumar Rana is Professor of Computer Science and Engineering at Maharishi Markandeshwar (deemed to be a university), Mullana-Ambala, India. He earned his PhD from Maharishi Markandeshwar University, Mullana-Ambala, India, in 2012. He is also a CISCO-certified instructor. His research interest includes distributed computing, network security, blockchain technology, and big data analytics.

Vijay Shanker Chaudhary is Assistant Professor (GCET, Greater Noida) and Researcher (photonic crystal fiber-based biosensors), He received his PhD from the Madan Mohan Malviya University of Technology, Gorakhpur, India. His research interests include photonic crystal fiber, optical fiber sensors, and terahertz sensing properties.

作者簡介(中文翻譯)

Arun Kumar Rana目前是印度大諾伊達Galgotias工程與技術學院的助理教授，擁有超過16年的經驗。他的研究領域包括影像處理、無線感測網路、物聯網、人工智慧、機器學習和嵌入式系統。

Vishnu Sharma是印度大諾伊達ITS工程學院的教授及計算機科學與工程系主任。Sharma博士於2012年在印度中央邦的Madhav Institute of Technology and Science (M.I.T.S.)完成了他的BTech、MTech和計算機科學與工程的博士學位，並隸屬於印度博帕爾的Rajiv Gandhi Technical University。他的研究興趣包括行動計算、網路安全和先進行動計算。

Sanjeev Kumar Rana是印度Mullana-Ambala的Maharishi Markandeshwar（被認定為大學）計算機科學與工程教授。他於2012年在Maharishi Markandeshwar University獲得博士學位。他也是CISCO認證的講師。他的研究興趣包括分散式計算、網路安全、區塊鏈技術和大數據分析。

Vijay Shanker Chaudhary是印度大諾伊達GCET的助理教授及研究員（基於光子晶體光纖的生物感測器）。他在印度戈拉克布爾的Madan Mohan Malviya University of Technology獲得博士學位。他的研究興趣包括光子晶體光纖、光纖感測器和太赫茲感測特性。

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