This book addresses the fundamental challenges underlying bioelectronics and tissue interface for clinical investigation. Appropriate for biomedical engineers and researchers, the authors cover topics ranging from retinal implants to restore vision, implantable circuits for neural implants, and intravascular electrochemical impedance to detect unstable plaques. In addition to these chapters, the authors also document the approaches and issues of multi-scale physiological assessment and monitoring in both humans and animal models for health monitoring and biological investigations; novel biomaterials such as conductive and biodegradable polymers to be used in biomedical devices; and the optimization of wireless power transfer via inductive coupling for batteryless and wireless implantable medical devices. In addition to engineers and researchers, this book is also an ideal supplementary or reference book for a number of courses in biomedical engineering programs, such as bioinstrumentation, MEMS/BioMEMS, bioelectronics and sensors, and more. Analyzes and discusses the electrode-tissue interfaces for optimization of biomedical devices. Introduces novel biomaterials to be used in next-generation biomedical devices. Discusses high-frequency transducers for biomedical applications.

Advanced technologies have been transforming the ways we carry out biological studies as well as deliver healthcare. While micro- and nano-fabrication have provided miniaturized sensors and systems with better sensitivity and selectivity,; innovations in flexible electronics, biomaterials and telecommunications have helped in enabling novel biomedical devices, reducing cost, bringing convenience and establishing mobile-health (m-Health), and personalized- and tele-medicine. Further, the recent rise of the internet of things (IoTs) and machine learning-based approaches has paved the avenue for those biomedical systems to become popular and widely accepted by our society. In this context, we edit this book aiming to cover a broad field of novel technologies used in biological assessment and analysis for humans, animal models and in vitro platforms, in both health monitoring and biological studies. Technical topics discussed in the book include: Biosensing systems and biomedical techniques Imaging techniques and systems Biosignal analysis Animal models used in biological research

This book constitutes the proceedings of the International Conference on Big Data Intelligence and Computing, DataCom 2022, which took place in Denarau Island, Fiji, in December 2022. The 30 full papers included in this volume were carefully reviewed and selected from 88 submissions. The papers detail big data analytics solutions, distributed computation paradigms, on-demand services, autonomic systems, and pervasive applications.

This book addresses the fundamental challenges underlying bioelectronics and tissue interface for clinical investigation. Appropriate for biomedical engineers and researchers, the authors cover topics ranging from retinal implants to restore vision, implantable circuits for neural implants, and intravascular electrochemical impedance to detect unstable plaques. In addition to these chapters, the authors also document the approaches and issues of multi-scale physiological assessment and monitoring in both humans and animal models for health monitoring and biological investigations; novel biomaterials such as conductive and biodegradable polymers to be used in biomedical devices; and the optimization of wireless power transfer via inductive coupling for batteryless and wireless implantable medical devices. In addition to engineers and researchers, this book is also an ideal supplementary or reference book for a number of courses in biomedical engineering programs, such as bioinstrumentation, MEMS/BioMEMS, bioelectronics and sensors, and more. Analyzes and discusses the electrode-tissue interfaces for optimization of biomedical devices. Introduces novel biomaterials to be used in next-generation biomedical devices. Discusses high-frequency transducers for biomedical applications.