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Elsevier

Green Flexible Electronics for Sustainable Healthcare

  • 1st Edition - November 14, 2025
  • Latest edition
  • Editors: Anitha Velu, Prasanth Aruchamy, Raghu Ramamoorthy, Rajesh Kumar Dhanaraj, Manasa S M
  • Language: English

Flexible electronics, or flex circuits, involve the construction of electrical circuits using flexible plastic substrates, such as polyimide, PEEK, or transparent conductive… Read more

Description

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.

Key features

  • Explores the role of advanced technologies, such as nanomaterials and artificial intelligence, in the creation of flexible and printed electronics
  • Analyses the design of flexible electronics-based wearables and sensors and their application for healthcare
  • Addresses the issues of data privacy, security and scalability when utilising flexible electronics within healthcare ecosystems

Readership

Graduates and researchers in the field of research and development of green electronics, flexible and wearable sensors, and nanomaterials

Table of contents

1. A Run-through of Flexible Electronics: Challenges and Opportunities

2. Streamlining Green Flexible Electronics: Natural Materials, Fabrication and Applications

3. Green Flexible Electronics from the Perspective of Internet of Things: Solutions for Sustainability

4. Flexible Electronics in the era of Artificial Intelligence towards Future Implanted Body Sensor Networks

5. Healthcare Monitoring: Inferences, Effects and Challenges in Developing Wearable Sensor Devices

6. Principles of Sustainable Healthcare: Protect and Improve Public Health

7. A Deep Dive into Green Flexible Electronics for Sustainable Healthcare Applications

8. Cutting-edge Technology: A New Standard for Flexibility in Electronics

9. Nanomaterials-based Flexible Wireless System to Monitor and Record Bio-signals from Different Human motions

10. Stretchable Sensors: Sensing Mechanism, Fabrication Strategies and Features for Wearable Health Monitoring

11. Flexible Bioelectronics with Dynamic Interfaces in Clinical Monitoring, Stimulation and Characterization

12. Flexible and Printed Electronics: Enabling an Efficient Remote Health Monitoring

13. Overcoming Challenges of Medical Data Privacy, Security, and Scalability for Precise Health Monitoring

14. Cardiovascular Health Monitoring through Integration with Flexible Electronics - A Case Study Approach

15. Recording Physical and Physiological Parameters: Exploring Wearable Flexible Electronic Skin

16. Case Study on In Vitro Diagnostics: A Trend to Decentralize Healthcare through Low-cost Printed Electronics

Product details

  • Edition: 1
  • Latest edition
  • Published: November 18, 2025
  • Language: English

About the editors

AV

Anitha Velu

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.

Affiliations and expertise
Sri Sairam College of Engineering, Bengaluru, India

PA

Prasanth Aruchamy

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.
Affiliations and expertise
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India

RR

Raghu Ramamoorthy

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.

Affiliations and expertise
The Oxford College of Engineering, Bengaluru, India

RD

Rajesh Kumar Dhanaraj

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).
Affiliations and expertise
Professor, Symbiosis International (Deemed University), Pune, India

MS

Manasa S M

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.

Affiliations and expertise
Assistant Professo, Department of Artificial Intelligence and Machine Learning at Ramaiah Institute of Technology, Bengaluru, India

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