Smart Devices for Medical 4.0 Technologies
暫譯: 醫療4.0技術的智慧裝置

本書的目的是識別一些需要解決的挑戰，以加速智慧健康技術的部署和採用，特別是在可穿戴設備中，以實現無處不在的醫療保健訪問。這些可穿戴設備可能包括心臟起搏器、除顫器、RFID設備、視障人士輔助設備、放大鏡和語音助手。本書還探討了如何將物聯網（Internet of Things, IoT）和大數據技術與這些可穿戴設備結合，以提供更好的醫療保健解決方案。

特色：
- 專注於智慧醫療的深度學習和機器學習技術的即時實施，以及新穎的演算法。
- 探索醫療4.0技術中輔助設備的創新挑戰和複雜問題的解決方案。
- 提供醫療可穿戴設備設計挑戰的概述。
- 討論醫療設備的VLSI（超大規模集成電路）不同技術。
- 包含一個關於AI調整心臟起搏器的案例研究。

本書旨在針對生物醫學、電機、計算機工程和醫療技術的研究生和研究人員。

Manisha Guduri, PhD, is full-time teaching faculty at the University of Louisiana at Lafayette, USA. She is the author/coauthor of more than 65 research papers in reputed journals, book chapters, and international conferences. Her research interests include Artificial Intelligence, Biomedical Applications and VLSI/ CAD design. She is currently working on VLSI and AI in the biomedical field. She has published five patents, two of which are under FER. She has received one patent grant and is a reviewer for IEEE TVLSI, Microelectronics Journal, IET Digital Circuits, IEEE Journal of Biomedical and Health Informatics, and other journals. She has one ongoing funded project from the Department of Science and Technology. She is a senior member of IEEE, USA. She is also currently member of various IEEE Societies such as IEEE Young Professionals, IEEE Women in Engineering, Circuits and Systems, Computer Society and the Sensor Council. She is appointed as IEEE WiE CASS representative for 2023 and 2024. She was executive committee member in Women in Engineering Affinity Group IEEE Hyderabad Section 2022. She is IEEE WiE DL Program Coordinator and 2024 IEEE Computer Society Lafayette Section Vice Chair. She has delivered more than 35 talks at international conferences, technical programs and various other platforms. She has helped to organize ten international conferences across different roles.

Chinmay Chakraborty, PhD, SMIEEE, MACM, is an Associate Professor at Birla Institute of Technology, Mesra, India. He completed a Post-Doctoral fellowship at the Federal University of Piauí, Brazil. He worked as a Senior Lecturer at the ICFAI University, Tripura, India. He worked as a Research Consultant in the Coal India project at Industrial Engineering and Management, IIT Kharagpur. He worked as a Project Coordinator of the Telecommunication Convergence Switch project under the Indo-US joint initiative. He also worked as a Network Engineer in System Administration at MISPL, India. His main research interests include the Internet of Medical Things (IoMT), AI/ML, Communication and Computing, Telemedicine, m-Health/e-health, and Medical Imaging. Dr. Chakraborty has widely published 200+ articles in peer reviewed international journals, conferences, book chapters, 25+ books, 4+ patents, and 20+ special issues in the field (Google h-index 35/i10-index 88, Scopus h-index 26, ISI-WoS h-index 22). He is an Editorial BoardMember for several journals and conferences. Dr. Chakraborty has co-edited severalbooks on IoMT, Healthcare Technology, and Sensor Data Analytics. He has servedas a Publicity Chair member at renowned international conferences, including IEEE Healthcom, IEEE SP-DLT. He is a member of ACM and a senior member of IEEE. He received a Best Session Runner-up Award, Young Research Excellence Award, Global Peer Review Award, Young Faculty Award, Outstanding Researcher Award, and Outstanding Paper in the 2022 Emerald Literati Awards and secured rank #1 from amongst 500 authors at BIT Mesra in Scival-Elsevier published by Scopus.com in 2023. He was selected as one of the top 2% of scientists in the world in the fields of Artificial Intelligence and Image Processing Stanford University, USA, 2021, 2022. He was the speaker for AICTE, DST-sponsored FDP, and CEP short-term course.

Martin Margala, PhD, joined the School of Computing and Informatics as Professor and Director in August 2021. Before joining UL Lafayette, from September 2011 to July 2021, Dr. Margala was Professor and Chair of the Electrical and Computer Engineering Department at the University of Massachusetts Lowell and a Co-Director of the Center for Smart Cyber-Physical Systems (SCyPS). He received his PhD degree in Electrical and Computer Engineering from the University of Alberta, Canada (#61 in Global Ranking in North America region; #13 in Global subject-specific ranking Electrical and Electronic Engineering in North America region US News) in the spring of 1998. He is a senior member of ACM, IEEE, and SPIE with more than 50 journal and 200 peer-reviewed conference publications in the areas of Design for Testability for Energy Efficient Architectures and Systems, High-Performance Reliable Low-Power Architectures and Reconfigurable Secure Architectures and Systems. Dr. Margala has directed 22 PhD students and 19 MS students, many of whom now hold leading positions in academia and industry. He has served on numerous program committees of international conferences and on workgroups (such as the International Technology Roadmap for Semiconductors) that have a great impact on the future direction of academia and industry.

Manisha Guduri，博士，為美國路易斯安那州拉法葉大學的全職教學教員。她是超過65篇研究論文的作者或合著者，這些論文發表於知名期刊、書籍章節及國際會議。她的研究興趣包括人工智慧（Artificial Intelligence）、生醫應用（Biomedical Applications）及VLSI/CAD設計。她目前正專注於生醫領域的VLSI和人工智慧。她已獲得五項專利，其中兩項正在進行中（FER）。她獲得過一項專利授權，並擔任IEEE TVLSI、Microelectronics Journal、IET Digital Circuits、IEEE Journal of Biomedical and Health Informatics等期刊的審稿人。她目前有一個來自科技部的持續資助專案。她是美國IEEE的資深會員，並且目前是多個IEEE社群的成員，如IEEE Young Professionals、IEEE Women in Engineering、電路與系統、計算機學會及感測器委員會。她被任命為2023及2024年的IEEE WiE CASS代表。她曾擔任2022年IEEE海得拉巴分會女性工程師親和小組的執行委員會成員。她是IEEE WiE DL計畫協調員及2024年IEEE計算機學會拉法葉分會的副主席。她在國際會議、技術計畫及各種其他平台上發表了超過35場演講。她協助組織了十場國際會議，擔任不同角色。

Chinmay Chakraborty，博士，SMIEEE，MACM，是印度梅斯拉比爾拉科技學院的副教授。他在巴西皮奧伊聯邦大學完成了博士後研究。他曾在印度特里普拉的ICFAI大學擔任高級講師，並在印度卡哈拉格普爾的印度理工學院工業工程與管理部門擔任煤炭印度專案的研究顧問。他曾擔任印美聯合倡議下的電信融合交換機專案的專案協調員，並在印度MISPL擔任系統管理的網路工程師。他的主要研究興趣包括醫療物聯網（Internet of Medical Things, IoMT）、人工智慧/機器學習（AI/ML）、通訊與計算、遠程醫療（Telemedicine）、行動健康/電子健康（m-Health/e-health）及醫學影像（Medical Imaging）。Chakraborty博士在同行評審的國際期刊、會議、書籍章節中廣泛發表了200多篇文章，出版了25本以上的書籍、4項專利及20多個特刊（Google h-index 35/i10-index 88，Scopus h-index 26，ISI-WoS h-index 22）。他是多個期刊和會議的編輯委員會成員。Chakraborty博士共同編輯了幾本關於IoMT、醫療技術及感測器數據分析的書籍。他曾在知名國際會議上擔任宣傳主席，包括IEEE Healthcom、IEEE SP-DLT。他是ACM的成員及IEEE的資深會員。他獲得了最佳會議報告亞軍獎、青年研究卓越獎、全球同行評審獎、青年教師獎、傑出研究者獎及2022年Emerald Literati Awards的傑出論文獎，並在2023年Scival-Elsevier中從500位作者中獲得BIT Mesra的第一名。他在2021年和2022年被斯坦福大學評選為全球人工智慧和影像處理領域的前2%科學家。他曾擔任AICTE、DST贊助的FDP和CEP短期課程的講者。

Martin Margala，博士，於2021年8月加入計算與資訊學院，擔任教授及院長。在加入路易斯安那州拉法葉大學之前，Margala博士於2011年9月至2021年7月擔任馬薩諸塞州洛威爾大學電機與計算機工程系的教授及系主任，並擔任智能網路物理系統中心（SCyPS）的共同主任。他於1998年春季獲得加拿大阿爾伯塔大學的電機與計算機工程博士學位（在北美地區全球排名第61；在北美地區電機與電子工程的全球學科排名中第13，根據US News）。他是ACM、IEEE及SPIE的資深會員，在測試可行性設計、能源高效架構與系統、高效能可靠低功耗架構及可重構安全架構與系統等領域發表了超過50篇期刊文章及200篇同行評審的會議論文。Margala博士指導了22位博士生及19位碩士生，其中許多人目前在學術界和產業界擔任領導職位。他曾參與多個國際會議的程序委員會及工作小組（如半導體國際技術路線圖），對學術界和產業的未來方向產生了重大影響。