Green Flexible Electronics for Sustainable Healthcare

Author:   Anitha Velu, Ph.D. (Sri Sairam College of Engineering, Bengaluru, India) ,  Prasanth Aruchamy, PhD (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India) ,  Raghu Ramamoorthy, Ph.D. (The Oxford College of Engineering, Bengaluru, India) ,  Rajesh Kumar Dhanaraj, PhD (Professor, Symbiosis International (Deemed University), Pune, India)
Publisher:   Elsevier - Health Sciences Division
ISBN:  

9780443275548


Pages:   278
Publication Date:   14 November 2025
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Green Flexible Electronics for Sustainable Healthcare


Overview

Flexible electronics, or flex circuits, involve the construction of electrical circuits using flexible plastic substrates, such as polyimide, PEEK, or transparent conductive polyester sheets. Flexible electronic assemblies are made using a variety of manufacturing techniques, including printing, laminating, and deposition, which enables the circuit board to bend or take on a desired shape. They allow the user to create extremely flexible, light-weight, and thin electronic components such as batteries, screens, and sensors. Green Flexible Electronics for Sustainable Healthcare discusses incorporating flexible and printed electronics in the field of sustainable healthcare. It details how to utilise natural materials in the design, fabrication and application of flexible electronic-based wearables and sensors. It also offers a detailed analysis of the effects and challenges of integrating flexible electronics within the healthcare ecosystem. Green Flexible Electronics for Sustainable Healthcare considers the implications of the advances in flexible electronics with regards data privacy, security and scalability.

Full Product Details

Author:   Anitha Velu, Ph.D. (Sri Sairam College of Engineering, Bengaluru, India) ,  Prasanth Aruchamy, PhD (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India) ,  Raghu Ramamoorthy, Ph.D. (The Oxford College of Engineering, Bengaluru, India) ,  Rajesh Kumar Dhanaraj, PhD (Professor, Symbiosis International (Deemed University), Pune, India)
Publisher:   Elsevier - Health Sciences Division
Imprint:   Elsevier - Health Sciences Division
Weight:   0.450kg
ISBN:  

9780443275548


ISBN 10:   0443275548
Pages:   278
Publication Date:   14 November 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Author Information

Dr. Anitha Velu is an Assistant Professor in the Department of Electronics and Communication Engineering in Sri Sairam College of Engineering, Bengaluru. She received her Bachelor degree in Electronics and Communication Engineering from Vivekanandha Educational Institute in 2014, Masters in VLSI Systems from Adhiyamaan College of Engineering in 2016 and Ph.D in Information and Communication Engineering from Anna University, Chennai in 2022. She has 2 years of teaching, 1 year of industrial and 5 years of research experience and have published more than 16 papers in reputed journals, 2 patent publications, 2 International patent grants and 3 Funded projects. Her research interests include Image Processing, VLSI Design, Ontology, Artificial Intelligence and Semantic web. Prasanth Aruchamy is an associate professor at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India. He has been recognized as the World’s Top 2% of Scientists, released by Elsevier and Stanford University, United States in October 2023. He has published more than 45 research articles in reputed international journals, among which 17 articles are indexed in SCI and 20 articles are indexed in Scopus. He has published 10 patents at national and international levels. Dr. Prasanth has published more than 15 books, and has served as resource person in 25 AICTE-Sponsored STTP/FDP programs. He has served as editorial board member in various reputed SCI journals. His research interests include the Internet of Things, blockchain, wireless sensor networks, medical image processing, and machine learning. Dr. Raghu Ramamoorthy works as an Associate Professor in the Department of Computer Science and Engineering, The Oxford College of Engineering, Bengaluru, India. He was awarded a Ph.D., Research degree in the year 2022 on the work of wireless communication with Swarm Intelligence from the Department of Information and Communication Engineering, Anna University, Chennai, India. He received his undergraduate degree B.Tech (Information Technology) in the year 2007 from Anna University, Chennai, Tamilnadu, India, and postgraduate degree M.E (Computer Science and Engineering) in the year 2013 from Anna University Chennai, Tamilnadu, India. He has published his research works in SCI-indexed journals, 15 SCOPUS-indexed journals, international conferences, and UGC CARE journals. He has research experience, industry experience, and teaching experience. He is a Member of Institutions of Engineers and Indian Society for Technical Education. Dr. Rajesh Kumar Dhanaraj is a professor at the Symbiosis International (Deemed University) in Pune, India. His research and publication interests include cyber-physical systems, wireless sensor networks, and cloud computing. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), a member of the Computer Science Teacher Association (CSTA) and member of the International Association of Engineers (IAENG). He is an expert advisory panel member of Texas Instruments Inc. (USA), and an associate editor of International Journal of Pervasive Computing and Communications (Emerald Publishing). Dr. Manasa S M is an Assistant Professor in the Department of Artificial Intelligence and Machine Learning at Ramaiah Institute of Technology, Bengaluru, India. With 7 years of research experience and 3 years of teaching experience, her primary focus is in the field of Social Networks. Her scholarly contributions are evident through an extensive portfolio of publications, including research articles in SCI, SCOPUS, WoS - indexed, as well as presentations at international conferences. Furthermore, she has made a significant impact by securing patents and authoring a textbook by name Fundamentals of Wireless Networks. Dr. Manasa's research interests encompass a broad spectrum, including Wireless Sensor Networks, Data Mining, IoT, Cloud Computing, Machine Learning and Deep Learning.

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