Soft Electronics for Diagnosis, Therapy, and Integrated Systems
1st Edition
Published on 15. October 2025
Book
Hardback
496 pages
978-3-527-35336-1 (ISBN)
Description
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.
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.
More details
Edition
1. Auflage
Language
English
Place of publication
Berlin
Germany
Target group
Professional and scholarly
College/higher education
Illustrations
22
8 s/w Tabellen, 14 s/w Abbildungen
Dimensions
Height: 24.4 cm
Width: 17 cm
Thickness: 1.5 cm
Weight
666 gr
ISBN-13
978-3-527-35336-1 (9783527353361)
Schweitzer Classification
Other editions
Additional editions
Xinge Yu | Jiyu Li | Ya Huang
Soft Electronics for Diagnosis, Therapy, and Integrated Systems
E-Book
08/2025
1st Edition
Wiley-VCH
€151.99
Available for download
Xinge Yu | Jiyu Li | Ya Huang
Soft Electronics for Diagnosis, Therapy, and Integrated Systems
E-Book
08/2025
1st Edition
Wiley-VCH
€151.99
Available for download
Persons
Prof. Xinge Yu is an Associate Professor in the Department of Biomedical Engineering at the City University of Hong Kong. He received his B.S. in engineering and technology in optoelectronics from the University of Electronic Science and Technology of China (UESTC) in 2009. He finished his Ph.D. research in solution process/printable flexible electronics at Northwestern University under the supervision of Prof. Tobin J. Marks and Prof. Antonio Facchetti, and recived his Ph.D. degree in Optical Engineering from UESTC in 2015. From 2015 to 2018, Xinge Yu was a postdoctoral research associate in the Center for Bio-Integrated Electronics at Northwestern University and an adjunct research assistant professor in the Department of Materials Science and Engineering at the University of Illinois at Urbana-Champaign, where he was working on novel flexible and bio-electronics with Professor John A. Rogers.
Jiyu Li, Postdoctoral fellow, Department of Biomedical Engineering, City University of Hong Kong.
Ya HUANG, Postdoctoral fellow, Department of Biomedical Engineering, City University of Hong Kong.
Enming Song received the B.S. degree from Department of Materials Science, Fudan University, Shanghai, China, in 2011, where he has been pursuing the Ph.D. degree with the Department of Materials Science since 2011. He currently focuses on developing novel materials, devices as chronic bio-implants and of relevance semiconductor processing technologies. His current research interests include the fields of materials science, bio-electronics, and nano-electronics.
Jiyu Li, Postdoctoral fellow, Department of Biomedical Engineering, City University of Hong Kong.
Ya HUANG, Postdoctoral fellow, Department of Biomedical Engineering, City University of Hong Kong.
Enming Song received the B.S. degree from Department of Materials Science, Fudan University, Shanghai, China, in 2011, where he has been pursuing the Ph.D. degree with the Department of Materials Science since 2011. He currently focuses on developing novel materials, devices as chronic bio-implants and of relevance semiconductor processing technologies. His current research interests include the fields of materials science, bio-electronics, and nano-electronics.
Content
Preface
PART 1: Soft sensors for diagnosis
1 Mechanics design of flexible sensors
1.1 Design of stretchable flexible device structure
1.2 Structural Design of Substrate
1.3 Structural Designs for Spatial Integration of Device Systems
2 Biosensors
2.1 Wearable biosensing technology
2.2 Epidermal wearable biosensors
2.3 Ocular wearable sensors
2.4 Wound sensor
3 Soft sensors for disease diagnosis
3.1 Introduction
3.2 The materials and structures of flexible sensors
3.3 The application of flexible sensors in diseases diagnosis
4 Non-invasive detection of bio-analytes
4.1 Introduction
4.2 Biofluids of Interest for Wearable Chemical Sensors
4.3 Biofluid Enabled Platforms: Traditional to Wearable
4.4 Sampling and Detection Strategies for Biofluid-Based Wearable Sensors
4.5 Outlook
5 Flexible electrode for noninvasive brain-computer interface
5.1 Introduction
5.2 Development of non-invasive BCIs
5.3 Electrode technologies for non-invasive BCIs
5.4 Challenges
5.5 Conclusion
6 Chronic Neural Interfaces
6.1 Introduction
6.2 Architectures for Mechanical Compliance and Biocompatibility
6.3 Advanced Chronically Stable Materials for Neural Interfaces
6.4 Encapsulation for Stable Operation
6.5 Engineering Strategies for Chronic Active Sensing
6.6 Multimodal functions of long-term stable implants
6.7 Challenges and future directions
7 Mechanical sensors (transducer) for motion detection of human and organs
7.1 Introduction
7.2 Classification of Stretchable Mechanical Sensors
7.3 Material Architectures
7.4 Sensing Mechanisms
7.5 Representative applications
8 Smart optoelectronics in health monitoring and human machine interactions
8.1 Fundamentals on Photodetectors
8.2 Integrated Optoelectronic Systems
8.3 Flexible Integrated Systems Based on Photodetectors for Advanced Applications
8.4 Future Trend of Photodetectors for Soft Electronics
9 Wearable sensor for bioimaging
9.1 Introduction
9.2 Wearable ultrasound bioimaging sensor
9.3 Wearable photoacoustic imaging sensor
9.4 Wearable electrical impedance tomography
9.5 Wearable terahertz imaging sensor
9.6 Conclusion
PART 2: Soft sensors for therapy
10 Thermotherapy
10.1Introduction
10.2 Resistive heaters
10.3 Photothermal nanomaterials
10.4 Textile devices
11 Soft Electronics for drug delivery
11.1 Introduction
11.2 Skin structure
11.3 Soft Electronics-assisted TTDS for drug delivery
11.4 Conclusions and perspectives
12 Implantable Drug Delivery System
12.1 Introduction
12.2 Categories of Soft Electronics for Drug Delivery
12.3 Challenges and Prospects
13 Soft robotic sensing and medicine
13.1 Introduction
13.2 Soft robotic tactile sensing
13.3 Soft robotic environmental sensing
13.4 Miniature robotic in vivo medicine
PART 3: Soft sensors for interaction
14 Integration System
14.1 Power supply strategy of soft electronics
14.2 Encapsulation
14.3 Communication
14.4 Closed-loop control
15 Full-body Haptic User Experience in Virtual Reality
15.1 Investigating Around-head Directional Cues for Multi-task Visual-Searching Scenario in Virtual Reality
15.2 ThermAirGlove: A Pneumatic Glove for On-Hand Thermal Perception and Material Identification in VR
15.3 PropelWalker: A Leg-basedWearable System with Propeller-based Force Feedback for Walking in Fluids in VR
15.4 Conclusion
16 Self-powered Sensors
16.1 Introduction
16.2 Piezoelectric Sensor
16.3 Triboelectric Sensor
16.4 Piezoionic Sensor
16.5 Electromagnetic Sensor
16.6 Thermoelectric sensors
16.7 Potentiometric ion sensors
16.8 Conclusion
PART 1: Soft sensors for diagnosis
1 Mechanics design of flexible sensors
1.1 Design of stretchable flexible device structure
1.2 Structural Design of Substrate
1.3 Structural Designs for Spatial Integration of Device Systems
2 Biosensors
2.1 Wearable biosensing technology
2.2 Epidermal wearable biosensors
2.3 Ocular wearable sensors
2.4 Wound sensor
3 Soft sensors for disease diagnosis
3.1 Introduction
3.2 The materials and structures of flexible sensors
3.3 The application of flexible sensors in diseases diagnosis
4 Non-invasive detection of bio-analytes
4.1 Introduction
4.2 Biofluids of Interest for Wearable Chemical Sensors
4.3 Biofluid Enabled Platforms: Traditional to Wearable
4.4 Sampling and Detection Strategies for Biofluid-Based Wearable Sensors
4.5 Outlook
5 Flexible electrode for noninvasive brain-computer interface
5.1 Introduction
5.2 Development of non-invasive BCIs
5.3 Electrode technologies for non-invasive BCIs
5.4 Challenges
5.5 Conclusion
6 Chronic Neural Interfaces
6.1 Introduction
6.2 Architectures for Mechanical Compliance and Biocompatibility
6.3 Advanced Chronically Stable Materials for Neural Interfaces
6.4 Encapsulation for Stable Operation
6.5 Engineering Strategies for Chronic Active Sensing
6.6 Multimodal functions of long-term stable implants
6.7 Challenges and future directions
7 Mechanical sensors (transducer) for motion detection of human and organs
7.1 Introduction
7.2 Classification of Stretchable Mechanical Sensors
7.3 Material Architectures
7.4 Sensing Mechanisms
7.5 Representative applications
8 Smart optoelectronics in health monitoring and human machine interactions
8.1 Fundamentals on Photodetectors
8.2 Integrated Optoelectronic Systems
8.3 Flexible Integrated Systems Based on Photodetectors for Advanced Applications
8.4 Future Trend of Photodetectors for Soft Electronics
9 Wearable sensor for bioimaging
9.1 Introduction
9.2 Wearable ultrasound bioimaging sensor
9.3 Wearable photoacoustic imaging sensor
9.4 Wearable electrical impedance tomography
9.5 Wearable terahertz imaging sensor
9.6 Conclusion
PART 2: Soft sensors for therapy
10 Thermotherapy
10.1Introduction
10.2 Resistive heaters
10.3 Photothermal nanomaterials
10.4 Textile devices
11 Soft Electronics for drug delivery
11.1 Introduction
11.2 Skin structure
11.3 Soft Electronics-assisted TTDS for drug delivery
11.4 Conclusions and perspectives
12 Implantable Drug Delivery System
12.1 Introduction
12.2 Categories of Soft Electronics for Drug Delivery
12.3 Challenges and Prospects
13 Soft robotic sensing and medicine
13.1 Introduction
13.2 Soft robotic tactile sensing
13.3 Soft robotic environmental sensing
13.4 Miniature robotic in vivo medicine
PART 3: Soft sensors for interaction
14 Integration System
14.1 Power supply strategy of soft electronics
14.2 Encapsulation
14.3 Communication
14.4 Closed-loop control
15 Full-body Haptic User Experience in Virtual Reality
15.1 Investigating Around-head Directional Cues for Multi-task Visual-Searching Scenario in Virtual Reality
15.2 ThermAirGlove: A Pneumatic Glove for On-Hand Thermal Perception and Material Identification in VR
15.3 PropelWalker: A Leg-basedWearable System with Propeller-based Force Feedback for Walking in Fluids in VR
15.4 Conclusion
16 Self-powered Sensors
16.1 Introduction
16.2 Piezoelectric Sensor
16.3 Triboelectric Sensor
16.4 Piezoionic Sensor
16.5 Electromagnetic Sensor
16.6 Thermoelectric sensors
16.7 Potentiometric ion sensors
16.8 Conclusion