Soft Electronics for Diagnosis, Therapy, and Integrated Systems

Overview of cutting-edge soft electronics technologies and their clinical and biomedical applications in fields including bioimaging and drug delivery

Soft Electronics for Diagnosis, Therapy, and Integrated Systems summarizes soft bio-integrated electronics in three parts: soft sensors for diagnosis, soft electronics for therapy, and soft systems for interaction, reviewing the latest state-of-the-art research and comprehensively covering topics from device design strategies and materials processing methods to fabrication techniques and electrical measurements.

This book provides information on a wide variety of applications, including flexible sensors for disease diagnosis, flexible electrode for noninvasive brain-computer interface, invasive electrodes, mechanical sensors (transducers) for motion detection of human and organs, smart optoelectronics in health monitoring and human machine interactions, non-invasive detection of bio-analytes, biosensors for blood microbe and virus diagnosis, sensors for bioimaging, self-powered sensors, electrical stimulation, phototherapy, drug delivery, thermotherapy, feedback technology, and soft robots.

Written by a team of highly qualified authors and contributed to by experts in their respective fields, Soft Electronics for Diagnosis, Therapy, and Integrated Systems discusses sample topics such as:

• Island bridge structure-curved lines in flexible sensor mechanics, covering 2D and 3D spiral interconnects as well as 2D fractal structures
• Ocular wearable sensors, covering contact lens sensors, capsule-based tear sensors, wearable eyepatches, and eyeglass sensors
• Materials and structures of soft sensors, covering nanomaterials, liquid conductors, elastomers, hydrogels, and textiles, as well as serpentine, mesh, and coiled structures
• Fundamentals of photodetectors, covering performance parameters, quantum dots, and perovskites and other organic materials

Describing both theory and application, Soft Electronics for Diagnosis, Therapy, and Integrated Systems is an excellent and up-to-date reference on the subject for materials scientists, electronics engineers, biotechnologists, and developers and other professionals in the sensor industry.

Xinge Yu is an Associate Professor in the Department of Biomedical Engineering at the City University of Hong Kong.

Jiyu Li is a Postdoctoral Fellow in the Department of Biomedical Engineering at City University of Hong Kong.

Ya Huang is a Postdoctoral Fellow in the Department of Biomedical Engineering at City University of Hong Kong.

Enming Song is pursuing a PhD degree in materials science at Fudan University, Shanghai, China.