Smart Healthcare Monitoring Using IoT with 5G: Challenges, Directions, and Future Predictions
暫譯: 智慧醫療監測：利用物聯網與5G的挑戰、方向與未來預測

本書專注於挑戰、方向、未來預測以及5G在智慧醫療監測中的角色，提供了基本概念和分析，探討如何將物聯網（IoT）應用於診斷和數據傳輸的監測設備。書中還討論了自我管理，以幫助提供者改善其護理體驗。

Meenu Gupta completed her PhD in Computer Science & Engineering with emphasis on Traffic Accident Severity problem from the Ansal University, Gurugram, India (2020), an M.Tech in Computer Science & Engineering from the M.D. U University, Rohtak, India (2010), and she graduated in Information Technology at the K.U.K University, Kurukshetra, India (2006). She is currently Associate Professor in Chandigarh University. She has 13 years of teaching experience. Her areas of research are Machine Learning, Intelligent Systems, Data mining, with specific interest in, Artificial Intelligence, Image Processing and Analysis, Smart cities, Data Analysis, and human/brain-machine interaction. She also completed two edited books of CRC press on Healthcare and Cancer diseases. She also has 4 authored books on engineering streams. She worked as a reviewer of many journals like, Big Data, CMC, Scientific Report, TSP, etc. She is a life member of ISTE and IAENG. She has authored or co-authored over 50 papers in refereed international journals (SCI/SCIE/WoS/Scopus/etc.), conferences, and more than 20 book chapters. She also chaired IEEE international Conference and convened many workshops/FDP.

Gopal Chaudhary is currently working as an assistant professor in Bharati Vidyapeeth's College of Engineering, Guru Gobind Singh Indraprastha University, Delhi, India. He holds a Ph.D. in biometrics at the division of Instrumentation and Control Engineering, Netaji Subhas Institute of Technology, University of Delhi, India. He received B.E. degree in electronics and communication engineering in 2009 and the MTech degree in microwave and optical communication from Delhi Technological University (formerly known as Delhi College of Engineering), New Delhi, India, in 2012. He has 30 publications in refereed national/international journals and conferences (e.g. Elsevier, Springer, Inderscience) in the area of biometrics and its applications. His current research interests include soft computing, intelligent systems, information fusion, and pattern recognition. He has organized many conferences and contributed to special issues.

Victor Hugo C. de Albuquerque [M17, SM19] has a Ph.D. in Mechanical Engineering with emphasis on Materials from the Federal University of Paraíba (UFPB, 2010), an MSc in Teleinformatics Engineering from the Federal University of Ceará (UFC, 2007), and he graduated in Mechatronics Technology at the Federal Center of Technological Education of Ceará (CEFETCE, 2006). He is currently Full Professor of the Graduate Program in Applied Informatics, and coordinator of the Laboratory of Industrial Informatics, Electronics and Health at the University of Fortaleza (UNIFOR). Data Science Director at the Superintendency for Research and Public Safety Strategy of Ceará State (SUPESP/CE), Brazil. He has experience in Computer Systems, mainly in the research fields of: Applied Computing, Intelligent Systems, Visualization and Interaction, with specific interest in Pattern Recognition, Artificial Intelligence, Image Processing and Analysis, as well as Automation with respect to biological signal/image processing, image segmentation, biomedical circuits and human/brain-machine interaction, including Augmented and Virtual Reality Simulation Modeling for animals and humans. Additionally, he has research at the microstructural characterization field through the combination of non-destructive techniques with signal/image processing and analysis and pattern recognition. Prof. Victor is the leader of the Industrial Informatics, Electronics and Health Research Group. He is Editor-in-Chief of the Journal of Artificial Intelligence and Systems and Associate Editor of the IEEE Access, Applied Soft Computing, Frontiers in Communications and Networks, Computational Intelligence and Neuroscience, Journal of Nanomedicine and Nanotechnology Research, Computational Physiology and Medicine, and Journal of Mechatronics Engineering, and he has been Lead Guest Editor of several high-reputed journals, and TPC member of many international conferences.

梅努·古普塔於印度古魯格拉姆的安薩大學（Ansal University）完成了計算機科學與工程博士學位，專注於交通事故嚴重性問題（2020年），並於印度羅塔克的M.D. U大學獲得計算機科學與工程碩士學位（2010年），在印度庫魯克舍特拉的K.U.K大學獲得資訊科技學士學位（2006年）。她目前是昌迪加爾大學的副教授，擁有13年的教學經驗。她的研究領域包括機器學習、智能系統、數據挖掘，特別關注人工智慧、影像處理與分析、智慧城市、數據分析以及人類/腦機互動。她還完成了兩本由CRC出版社編輯的有關醫療保健和癌症疾病的書籍，並撰寫了4本工程領域的專著。她曾擔任多本期刊的審稿人，如Big Data、CMC、Scientific Report、TSP等。她是ISTE和IAENG的終身會員。她在國際期刊（SCI/SCIE/WoS/Scopus等）、會議上發表或共同發表了超過50篇論文，以及20多個書籍章節。她還主持了IEEE國際會議並組織了多個研討會/FDP。

戈帕爾·喬杜哈里目前在印度德里古魯·戈賓德·辛格·印德拉普拉斯塔大學的巴哈提維迪耶比特工程學院擔任助理教授。他在德里大學的內塔吉·蘇巴斯科技學院的儀器與控制工程部門獲得生物識別學博士學位。他於2009年獲得電子與通信工程的學士學位，並於2012年在德里技術大學（前稱德里工程學院）獲得微波與光通信的碩士學位。他在生物識別及其應用領域的國內/國際期刊和會議上發表了30篇論文（例如Elsevier、Springer、Inderscience）。他目前的研究興趣包括軟計算、智能系統、信息融合和模式識別。他組織了許多會議並為特刊做出了貢獻。

維克多·雨果·C·德·阿爾布克基（Victor Hugo C. de Albuquerque）[M17, SM19]擁有機械工程博士學位，專注於材料，畢業於巴拉伊巴聯邦大學（UFPB，2010年），並於塞阿拉聯邦大學（UFC，2007年）獲得電信工程碩士學位，於塞阿拉聯邦技術教育中心（CEFETCE，2006年）獲得機電技術學士學位。他目前是福塔雷薩大學（UNIFOR）應用資訊碩士學程的正教授，並擔任工業資訊、電子與健康實驗室的負責人。他是巴西塞阿拉州公共安全策略研究局（SUPESP/CE）的數據科學主任。他在計算機系統方面擁有經驗，主要研究領域包括：應用計算、智能系統、可視化與互動，特別關注模式識別、人工智慧、影像處理與分析，以及生物信號/影像處理、自動化、影像分割、生物醫學電路和人類/腦機互動，包括動物和人類的增強與虛擬現實模擬建模。此外，他在微結構特徵化領域的研究中，結合了非破壞性技術與信號/影像處理和分析及模式識別。維克多教授是工業資訊、電子與健康研究小組的負責人。他是《人工智慧與系統期刊》的主編，並擔任《IEEE Access》、《應用軟計算》、《通訊與網絡前沿》、《計算智能與神經科學》、《納米醫學與納米技術研究期刊》、《計算生理學與醫學》和《機電工程期刊》的副編輯，並曾擔任多本高聲望期刊的主編和多個國際會議的TPC成員。