Mobile Technologies for Smart Healthcare System Design
暫譯: 智慧醫療系統設計的行動技術

這本書詳細探討了醫療領域中的行動技術。書中首先概述了基於WiFi的活動識別系統，利用現有基礎設施進行健康監測。接著，書中檢視了毫米波技術在健康系統中的精確性以及設計一個複雜的健身助手系統。隨著敘述的進展，書中強調了可穿戴技術在個人健身和預防受傷方面的角色。書中還重點關注飲食習慣監測，以進行全面的飲食分析。最後，書中介紹了可穿戴設備中PPG傳感器的創新應用，涉及手勢識別和用戶身份驗證等複雜應用。展望未來，書中概述了未來的研究方向，強調在行動健康技術中確保深度學習技術的安全性、為動態環境開發自適應系統，以及創建個性化醫療和全面健康監測的整合系統的重要性。這種前瞻性的觀點突顯了主動、預防和量身定制的醫療解決方案的必要性。

這本書討論了設計有效且穩健的行動醫療系統所面臨的各種挑戰。其中一個主要挑戰是收集準確且可靠的傳感器數據，因為人類活動的複雜性和變異性。這本書通過創新的感測模式，如WiFi、毫米波信號和光電容積描記法，來應對這一挑戰，這些技術能夠捕捉有關人類活動和生理的細微細節。設計了穩健的算法來從傳感器數據中提取有意義的特徵，以解釋活動、手勢和生物識別。在多樣化環境中系統的穩健性是行動醫療的另一大挑戰。本書提出的解決方案可以利用先進的學習技術，如環境不變分析和領域適應訓練，適應不同的環境。書中還處理了實際問題，如減少訓練工作量、處理運動伪影，以及使用商業可用設備實施系統。

總體而言，這本書提供了全面的方法論，利用尖端的行動技術來解決開發現實世界醫療應用中的關鍵挑戰，包括持續監測、個性化協助、飲食追蹤、手勢識別和用戶身份驗證。這些系統設計為在環境變化、個體差異和設備限制下仍能可靠運作。

Xiaonan Guo received the Ph.D. degree in computer science and engineering from The Hong Kong University of Science and Technology, Hong Kong, in 2013. He is currently an Assistant Professor with the department of information science and technology at George Mason University. Prior that he was an Assistant Professor at Indiana University-Purdue University, Indianapolis. He was a Research Associate with the Department of Electrical and Computer Engineering, Stevens Institute of Technology, His research interests include pervasive computing, mobile computing, and cybersecurity and privacy. He has received the Best Paper Award from the ACM Conference on Information, Computer, and Communications Security (ASIACCS) in 2016 and the EAI International Conference on IoT Technologies for HealthCare (EAI Healthy IoT) in 2019.

Yan Wang is an Associate Professor in Computer & Information Sciences Department at Temple University. Before that, he was with the Department of Computer Science at SUNY, Binghamton. He received his Ph.D. degree in Electrical Engineering from Stevens Institute of Technology. His research interests include Cyber Security and Privacy, Internet of Things, Mobile and Pervasive Computing, and Smart Healthcare. His research is supported by the National Science Foundation (NSF). He is the recipient of the NSF CAREER Award. He is the recipient of the Best Paper Award from IEEE CNS 2018, IEEE SECON 2017, and ACM AsiaCCS 2016. He is serving and has served on the organizing committee of ACM MobiCom, IEEE INFOCOM, ACM WiSec, IEEE MASS, IEEE DYSPAN, and IEEE CNS. He is the Associate Editor of IEEE Transactions on Information Forensics and Security and the guest editor of the special issue of the Journal of Surveillance, Security and Safety. He regularly serves on the technical program committees of Top-ranked ACM and IEEE conferences, including ACM MobiCom, ACM MobiSys, IEEE INFOCOM, IEEE ICDCS, IEEE CNS, IEEE ICC. He also serves as the reviewer for prestigious journals, including IEEE/ACM Transactions on Networking (IEEE/ACM ToN), IEEE Transactions on Mobile Computing (IEEE TMC), IEEE Transactions on Wireless Communications (IEEE TWireless), and EURASIP Journal on Information Security.

Jerry Cheng was an Assistant Professor with the Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA. He was formerly a Postdoctoral Researcher with the Department of Statistics, Columbia University, New York, NY, USA. He had extensive industrial experiences as a Member of Technical Staff at AT&T Labs, Murray Hill, NJ, USA. He is currently an Assistant Professor of computer science with the New York Institute of Technology, New York. His background is a combination of computer science, statistics, and physics. His work has been reported by many new media, including MIT Technology Review, Yahoo News, Digital World, FierceHealthcare, and WTOP Radio. His research interests include big data analytics, statistical learning, Bayesian statistics, and their applications in computer systems and smart healthcare.

Yingying (Jennifer) Chen is a Professor and Department Chair of Electrical and Computer Engineering (ECE) and Peter Cherasia Endowed Faculty Scholar at Rutgers University. She is the Associate Director of Wireless Information Network Laboratory (WINLAB). She also leads the Data Analysis and Information Security (DAISY) Lab. She is a Fellow of Association for Computing Machinery (ACM), a Fellow of Institute of Electrical and Electronics Engineers (IEEE) and a Fellow of National Academy of Inventors (NAI). Her research interests include Applied Machine Learning in Mobile Computing and Sensing, Internet of Things (IoT), Security in AI/ML Systems, Smart Healthcare, and Deep Learning on Mobile Systems. She is a pioneer in RF/WiFi sensing, location systems, and mobile security. Before joining Rutgers, she was a tenured professor at Stevens Institute of Technology and had extensive industry experiences at Nokia (previously Lucent Technologies). She has published 3 books, 4 book chapters and 300+ journal articles and refereed conference papers. She is the recipient of seven Best Paper Awards in top ACM and IEEE conferences. She is the recipient of NSF CAREER Award and Google Faculty Research Award. She received NJ Inventors Hall of Fame Innovator Award and is also the recipient of IEEE Region 1 Technological Innovation in Academic Award. Her research has been supported by many funding agencies including NSF, NIH, ARO, DoD and AFRL and reported in numerous media outlets including MIT Technology Review, CNN, Wall Street Journal, National Public Radio and IEEE Spectrum. She has been serving/served on the editorial boards of IEEE Transactions on Mobile Computing (TMC), IEEE Transactions on Wireless Communications (TWireless), IEEE/ACM Transactions on Networking (ToN) and ACM Transactions on Privacy and Security.

小南郭於2013年獲得香港科技大學計算機科學與工程博士學位。目前，他是喬治梅森大學資訊科學與技術系的助理教授。在此之前，他曾擔任印第安納大學-普渡大學印第安納波利斯分校的助理教授。他曾是史蒂文斯理工學院電氣與計算機工程系的研究助理。他的研究興趣包括普遍計算、移動計算以及網絡安全與隱私。他於2016年獲得ACM資訊、計算機與通訊安全會議（ASIACCS）的最佳論文獎，並於2019年獲得EAI健康照護物聯網技術國際會議（EAI Healthy IoT）的最佳論文獎。

燕王是天普大學計算機與資訊科學系的副教授。在此之前，他曾在紐約州立大學賓漢頓分校的計算機科學系任職。他在史蒂文斯理工學院獲得電氣工程博士學位。他的研究興趣包括網絡安全與隱私、物聯網、移動與普遍計算以及智慧醫療。他的研究得到了美國國家科學基金會（NSF）的支持。他是NSF CAREER獎的獲得者，也是IEEE CNS 2018、IEEE SECON 2017和ACM AsiaCCS 2016的最佳論文獎獲得者。他曾擔任ACM MobiCom、IEEE INFOCOM、ACM WiSec、IEEE MASS、IEEE DYSPAN和IEEE CNS的組織委員會成員。他是IEEE資訊取證與安全期刊的副編輯，並擔任《監控、安全與安全性期刊》特刊的客座編輯。他定期擔任頂尖ACM和IEEE會議的技術程序委員會成員，包括ACM MobiCom、ACM MobiSys、IEEE INFOCOM、IEEE ICDCS、IEEE CNS和IEEE ICC。他還擔任多個知名期刊的審稿人，包括IEEE/ACM網絡期刊（IEEE/ACM ToN）、IEEE移動計算期刊（IEEE TMC）、IEEE無線通訊期刊（IEEE TWireless）和EURASIP資訊安全期刊。

Jerry Cheng曾是羅伯特·伍德·約翰遜醫學院的助理教授，任職於美國新澤西州的羅格斯大學。他曾是哥倫比亞大學統計系的博士後研究員，位於美國紐約。他在AT&T實驗室擔任技術人員，擁有豐富的工業經驗。目前，他是紐約理工學院計算機科學的助理教授。他的背景結合了計算機科學、統計學和物理學。他的研究工作曾被多家新媒體報導，包括MIT科技評論、雅虎新聞、數位世界、FierceHealthcare和WTOP廣播。他的研究興趣包括大數據分析、統計學習、貝葉斯統計及其在計算機系統和智慧醫療中的應用。

陳盈盈（Jennifer Chen）是羅格斯大學電氣與計算機工程系的教授及系主任，也是彼得·切拉西亞捐贈的學者。她是無線資訊網絡實驗室（WINLAB）的副主任，並領導數據分析與資訊安全（DAISY）實驗室。她是計算機協會（ACM）院士、電氣與電子工程師學會（IEEE）院士及全國發明家學院（NAI）院士。她的研究興趣包括移動計算與感測中的應用機器學習、物聯網（IoT）、AI/ML系統的安全性、智慧醫療以及移動系統上的深度學習。她在RF/WiFi感測、定位系統和移動安全方面是先驅。在加入羅格斯大學之前，她是史蒂文斯理工學院的終身教授，並在諾基亞（前身為盧森特科技）擁有豐富的行業經驗。她已出版3本書籍、4章書籍及300多篇期刊文章和經審核的會議論文。她在頂尖的ACM和IEEE會議中獲得七項最佳論文獎。她是NSF CAREER獎和Google教職員研究獎的獲得者，並獲得新澤西發明家名人堂創新獎及IEEE第1區學術技術創新獎。她的研究得到了包括NSF、NIH、ARO、國防部和空軍研究實驗室等多個資助機構的支持，並在包括MIT科技評論、CNN、華爾街日報、全國公共廣播電台和IEEE Spectrum等多家媒體上報導。她曾擔任或目前擔任IEEE移動計算期刊（TMC）、IEEE無線通訊期刊（TWireless）、IEEE/ACM網絡期刊（ToN）和ACM隱私與安全期刊的編輯委員會成員。