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Flexible Bioelectronics with Power Autonomous Sensing and Data Analytics

Specificaties
Gebonden, blz. | Engels
Springer International Publishing | e druk, 2022
ISBN13: 9783030985370
Rubricering
Springer International Publishing e druk, 2022 9783030985370
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9783030985370
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer International Publishing

Inhoudsopgave

<p>Chapter 1. Materials and Processing for Flexible Bioelectronics.- Chapter 2. Sensors and Platforms for Flexible Bioelectronics.- Chapter 3. Low-noise CMOS Signal Conditioning Circuits.- Chapter 4. Data Converters for Wearable Sensor Applications.- Chapter 5. Power Management Circuits for Energy Harvesting.- Chapter 6. Sampling and recovery of signals with spectral sparsity.- Chapter 7. Compressed Sensing.<br></p>

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        Flexible Bioelectronics with Power Autonomous Sensing and Data Analytics