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This book provides readers with an introduction to the materials and devices necessary for flexible sensors and electronics, followed by common techniques for fabrication of such devices and system-level integration. Key insights into fabrication and processing will guide readers through the tradeoff choices in designing such platforms. A comprehensive review of two specific, flexible bioelectronic platforms, related to smart bandages for wound monitoring and thread-based diagnostics for wearable health, will demonstrate practical application at the system level. The book also provides a unique electrical engineering perspective by reviewing circuit architectures for low noise signal conditioning of weak signals from sensors,, and for low power analog to digital converters for signal acquisition. To achieve energy autonomy, authors provide several example of CMOS energy harvesting front end circuits and voltage boosters. Beyond circuit architectures, the book also provides a review of the modern theory of sampling and recovery of sparse signals, also known as compressed sensing. They then highlight how these principles can be leveraged for design and implementation of efficient signal acquisition hardware and reliable processing of acquired data for flexible electronic platforms.
This book provides readers with an introduction to the materials and devices necessary for flexible sensors and electronics, followed by common techniques for fabrication of such devices and system-level integration. Key insights into fabrication and processing will guide readers through the tradeoff choices in designing such platforms. A comprehensive review of two specific, flexible bioelectronic platforms, related to smart bandages for wound monitoring and thread-based diagnostics for wearable health, will demonstrate practical application at the system level. The book also provides a unique electrical engineering perspective by reviewing circuit architectures for low noise signal conditioning of weak signals from sensors,, and for low power analog to digital converters for signal acquisition. To achieve energy autonomy, authors provide several example of CMOS energy harvesting front end circuits and voltage boosters. Beyond circuit architectures, the book also provides a review of the modern theory of sampling and recovery of sparse signals, also known as compressed sensing. They then highlight how these principles can be leveraged for design and implementation of efficient signal acquisition hardware and reliable processing of acquired data for flexible electronic platforms.
Continuous downscaling of MOSFET devices, below sub 100 nm, has led to many challenges in the field of VLSI. Few interesting challenging problems addressed in this book are: MOSFET parameter extraction, Automatic circuit design, and Design of circuits in novel device structures. The increasing complexity of MOSFET models to capture various SCEs has made the parameter extraction a difficult task. Analog circuit design has also become difficult due to increased complexity of MOSFET models, process variations, supply voltage variations, and need of low-power architectures. FinFET device, which has less SCEs, is emerging as a strong candidate to replace planar MOSFETs. However, compact models for FinFETs are still under research and not available for circuit simulation. This book demonstrates potential applications of evolutionary algorithms such as PSO algorithm to address the issues of MOSFET parameter extraction and automatic circuit design. It also highlights the use of look-up table (LUT) approach for simulation of circuits in novel devices. This book will be useful to students, researchers, and practitioners working in CMOS circuits and devices.
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