Internet of Medical Things: Case Studies and Applications in Healthcare
            
暫譯: 醫療物聯網:案例研究與應用於醫療保健
        
        C, Balakrishnan, J, Jayapriya, M, Vinay
商品描述
The book presents a comprehensive overview of emerging IoT technologies, IoT devices and sensors and their role in the healthcare industry. It offers recent developments in the creation, application, and impact of new IoMT data security, IoMT devices used in a variety of applications, including telemedicine, monitoring patients, and intelligence-based medical data analysis. It includes discussions on the use of medical data analysis to make various predictions and diagnoses that lead to the right treatment. The security of medical data from Internet of Things (IoT) devices, where there is a risk of data leakage during transmission from the device to the server, is also discussed.
- Offers Software Application Framework for Sustainable Healthcare
- Includes feature case studies and real-world examples of IoT devices and technologies in use in healthcare settings
- Provide insight into the security risks associated with connected medical devices and the measures that can be taken to mitigate these risks.
- Discusses various integration strategies and technologies, including data interoperability standards, application programming interfaces (APIs), and other tools
- Contains discussions on emerging IoT technologies, such as blockchain and edge computing, as well as their potential applications in healthcare
This book is for researchers, professionals and students interested in the latest advancements on Internal of Medical Things.
商品描述(中文翻譯)
本書提供了新興物聯網(IoT)技術、IoT 裝置和感測器及其在醫療產業中的角色的全面概述。它介紹了在醫療物聯網(IoMT)數據安全的創建、應用和影響方面的最新發展,涵蓋了在遠程醫療、病人監測和基於智能的醫療數據分析等多種應用中使用的 IoMT 裝置。書中還討論了利用醫療數據分析進行各種預測和診斷,以便提供正確的治療。此外,還探討了來自物聯網(IoT)裝置的醫療數據安全性,因為在從裝置傳輸到伺服器的過程中存在數據洩漏的風險。
- 提供可持續醫療的軟體應用框架
- 包含 IoT 裝置和技術在醫療環境中使用的特徵案例研究和實際範例
- 提供有關連接醫療裝置的安全風險的見解,以及可以採取的減輕這些風險的措施
- 討論各種整合策略和技術,包括數據互操作性標準、應用程式介面(APIs)和其他工具
- 包含對新興 IoT 技術的討論,例如區塊鏈和邊緣計算,以及它們在醫療中的潛在應用
本書適合對醫療物聯網(IoMT)最新進展感興趣的研究人員、專業人士和學生。
作者簡介
Balakrishnan C, PhD, is currently working as an Associate Professor of Computer Science at CHRIST (Deemed to be University), Bengaluru, India. Formerly, teaching in Alagappa University, Karaikudi, and St. Joseph's College, Tiruchirappalli, India. He has 20 years of teaching experience. He obtained his Ph.D in Computer Science from Bharathidasan University, Tiruchirappalli, India. He authored five books and published more than 50 research articles in international Conferences and indexed journals. He published 5 Indian Patents and contributed to three funded research projects. Presently, serving as the Coordinator of prestigious ICSSR Funded Research Programme for an outlay of Rs. 46 Lakhs. His areas of interest are Healthcare IoT, Vision-Language Models, Data Analytics, and Machine Learning.
Jayapriya J, PhD, is currently working as an Assistant Professor at the Department of Computer Science, CHRIST (Deemed to be University), Bangalore, Karnataka, India. She has 12 years of teaching experience, including working abroad and 5 years of research experience. She completed her Ph.D. at the National Institute of Technology, Tiruchirapalli, in the year 2017. She has published 35+ papers in reputed journals and presented at numerous International Conferences. She has also been a reviewer for reputed journals and acted as a resource person for many workshops and seminars. She specialises in Computational Intelligence, Bioinformatics, Cybersecurity, and Data Science. She completed a project funded by the Australian Consulate funding of Rs. 9.9 Lakhs and is currently working on an ICSSR project with a funding of Rs. 17 Lakhs. She is a member of IEEE, CS, and WIE.
Vinay M, PhD, is an academic and researcher with a distinguished career spanning nearly two decades. Currently serving as the Head of the Department at CHRIST (Deemed to be University) his expertise lies in the fields of Artificial Intelligence (AI), Information and Communication Technology (ICT) tools, and he is a Google Certified Trainer. His research interests encompass cutting-edge domains such as Generative AI, Virtual Reality (VR), Augmented Reality (AR), and Cyber Security. He has published 25 research papers indexed in Scopus and has participated in 30+ conferences. His contributions to the field have been recognised with 3 Best Paper Awards. His expertise extends beyond research, and he served as a resource person for over 150 academic programs, sharing knowledge and insights with various audiences. Moreover, he is a member of the Institute of Electrical and Electronics Engineers (IEEE) and is involved in numerous projects.
Sanjeev Kumar Singh, PhD, is presently working as a Professor at the Department of Bioinformatics, Alagappa University, Karaikudi, India. He received his PhD in Applied Chemistry from CJSM University, Kanpur, in 2004. He holds several administrative positions in different capacities within the University. He has vast experience of twenty years in research/teaching and has published more than 250 international and national research articles/reviews/book chapters in peer-reviewed journals. His outstanding research in HIV integrates and protease has been recognized by the Indian Council of Medical Research (ICMR) through the honor of ICMR Lala Ram Chand Kandhari Award for the year 2014. He also has received several awards and honors in research career name the few, 'Fellow of Royal Society of Chemistry' from the Royal Society of Chemistry, London, United Kingdom for the outstanding contribution in the field of Molecular Modelling and Computer Aided Drug Design with Quantum chemistry applications, 'Fellow of Royal Society of Biology' from the Royal Society of Biology, London, United Kingdom for the extensive research involved in the field of Biological Sciences, 'Member of Board of Governors (2021 - 2023)' for the Biotech Research Society of India (BRSI), India. Dr. Sanjeev Kumar Singh's research interests include neutralizing the HIV infection by targeting different proteins crucial for the virus's existence. He is keenly interested in investigating small molecules that exclusively interact with CDKs, HAT, h-GPCR, Retinoblastoma, and HPV to potentially aid therapeutics.
Nadarajah Manivannan, DPhil, is currently a Senior Lecturer for Electronics, Computer languages, and Embedded systems in the Brunel School of Design. He has been associated with Brunel University London for the past 15 years as a Researcher and Teaching Faculty. He received his Doctor of Philosophy (DPhil) in Optical Pattern Recognition, Electronic Engineering from the University of Oxford in 1997. Currently, he is working on multiple projects; viz. Plasma engineering, Microwave plasma, Electron gun plasma, Emission control, Lab-on-chip, Optical pattern recognition, and Liveness detection of fingerprint biometrics. He is supervising and supporting PhDs and MSc Students on their research work in the Brunel School of Design. To his credit, he is holding prestigious memberships like Senior Member IEEE, Member of IOP, Member of Oxford Engineering Society, and many more. He contributed in many research projects, like, Plasma and microwave technologies in emission control funded under DEECON, FP7 EU and MAGS, InnovateUK, Optical pattern recognition to explore 4f optical correlator for challenging optical information processing tasks in collaboration with the photonics group at Imperial College, London, Fingerprint biometrics for liveness detection of fingerprint, cancelable fingerprint template generation, multi-model biometric fusion techniques, fingerprint in M-health and many more.
作者簡介(中文翻譯)
**Balakrishnan C**,博士,目前擔任印度班加羅爾基督教大學(CHRIST (Deemed to be University))計算機科學副教授。曾在阿拉卡帕大學(Alagappa University)和印度提魯奇拉帕利的聖約瑟夫學院(St. Joseph's College)任教。他擁有20年的教學經驗,並於印度提魯奇拉帕利的巴拉特迪薩大學(Bharathidasan University)獲得計算機科學博士學位。他著有五本書籍,並在國際會議和索引期刊上發表了超過50篇研究文章。他已獲得5項印度專利,並參與了三個資助的研究項目。目前,他擔任著名的ICSSR資助研究計劃的協調員,該計劃的預算為460萬盧比。他的研究興趣包括醫療物聯網(Healthcare IoT)、視覺語言模型(Vision-Language Models)、數據分析(Data Analytics)和機器學習(Machine Learning)。
**Jayapriya J**,博士,目前擔任印度卡納塔克邦班加羅爾基督教大學(CHRIST (Deemed to be University))計算機科學系的助理教授。她擁有12年的教學經驗,包括在國外工作和5年的研究經驗。她於2017年在提魯奇拉帕利的國立技術學院(National Institute of Technology, Tiruchirapalli)完成博士學位。她在知名期刊上發表了超過35篇論文,並在多個國際會議上發表演講。她還擔任過多個知名期刊的審稿人,並作為多個研討會和工作坊的資源人員。她專注於計算智能(Computational Intelligence)、生物信息學(Bioinformatics)、網絡安全(Cybersecurity)和數據科學(Data Science)。她完成了一個由澳大利亞領事館資助的項目,資金為99萬盧比,並目前正在進行一個資金為170萬盧比的ICSSR項目。她是IEEE、計算機學會(CS)和女性工程師(WIE)的成員。
**Vinay M**,博士,是一位學者和研究人員,擁有近二十年的卓越職業生涯。目前擔任班加羅爾基督教大學(CHRIST (Deemed to be University))的系主任,他的專業領域包括人工智慧(Artificial Intelligence, AI)、信息與通信技術(Information and Communication Technology, ICT)工具,並且是Google認證培訓師。他的研究興趣涵蓋前沿領域,如生成式AI(Generative AI)、虛擬現實(Virtual Reality, VR)、擴增實境(Augmented Reality, AR)和網絡安全(Cyber Security)。他在Scopus上發表了25篇研究論文,並參加了30多個會議。他在該領域的貢獻獲得了3項最佳論文獎。他的專業知識不僅限於研究,還擔任過150多個學術項目的資源人員,與各種受眾分享知識和見解。此外,他是電氣和電子工程師學會(IEEE)的成員,並參與多個項目。
**Sanjeev Kumar Singh**,博士,目前擔任印度阿拉卡帕大學(Alagappa University)生物信息學系的教授。他於2004年在坎普爾的CJSM大學獲得應用化學博士學位。他在大學內擔任多個行政職位,擁有20年的研究和教學經驗,並在同行評審的期刊上發表了超過250篇國際和國內的研究文章/評論/書章。他在HIV整合和蛋白酶方面的卓越研究獲得了印度醫學研究委員會(ICMR)頒發的2014年ICMR Lala Ram Chand Kandhari獎。他還在研究生涯中獲得了多項獎項和榮譽,包括來自英國倫敦皇家化學學會的「皇家化學學會院士」(Fellow of Royal Society of Chemistry),以表彰他在分子建模和計算輔助藥物設計及量子化學應用領域的卓越貢獻;來自英國倫敦皇家生物學會的「皇家生物學會院士」(Fellow of Royal Society of Biology),以表彰他在生物科學領域的廣泛研究;以及印度生物技術研究學會(BRSI)董事會成員(2021 - 2023)。Sanjeev Kumar Singh博士的研究興趣包括通過針對病毒生存所需的不同蛋白質來中和HIV感染。他對研究小分子與CDKs、HAT、h-GPCR、視網膜母細胞瘤(Retinoblastoma)和人類乳突病毒(HPV)之間的專屬相互作用以潛在幫助治療充滿熱情。
**Nadarajah Manivannan**,博士,目前是布魯內爾設計學院的電子學、計算機語言和嵌入式系統的高級講師。他在倫敦布魯內爾大學擔任研究員和教學人員已有15年。他於1997年在牛津大學獲得光學模式識別和電子工程的哲學博士(DPhil)學位。目前,他正在進行多個項目,包括等離子體工程、微波等離子體、電子槍等離子體、排放控制、芯片實驗室、光學模式識別和指紋生物識別的活性檢測。他正在布魯內爾設計學院指導和支持博士和碩士學生的研究工作。他擁有多項榮譽會員資格,如IEEE高級會員、IOP會員、牛津工程學會會員等。他參與了多個研究項目,如在DEECON、FP7 EU和MAGS資助下的排放控制中的等離子體和微波技術、與倫敦帝國學院的光子學小組合作探索4f光學相關器以應對挑戰性的光學信息處理任務的光學模式識別、指紋生物識別的活性檢測、可取消的指紋模板生成、多模態生物識別融合技術、指紋在移動健康中的應用等。