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Flexible bioelectronics with power a...
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Sonkusale, Sameer.
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Flexible bioelectronics with power autonomous sensing and data analytics
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Flexible bioelectronics with power autonomous sensing and data analytics/ by Sameer Sonkusale, Maryam Shojaei Baghini, Shuchin Aeron.
作者:
Sonkusale, Sameer.
其他作者:
Shojaei Baghini, Maryam.
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
xi, 181 p. :ill., digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Bioelectronics. -
電子資源:
https://doi.org/10.1007/978-3-030-98538-7
ISBN:
9783030985387
Flexible bioelectronics with power autonomous sensing and data analytics
Sonkusale, Sameer.
Flexible bioelectronics with power autonomous sensing and data analytics
[electronic resource] /by Sameer Sonkusale, Maryam Shojaei Baghini, Shuchin Aeron. - Cham :Springer International Publishing :2022. - xi, 181 p. :ill., digital ;24 cm.
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.
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. Provides single-source reference to the engineering requirements for implementation of practical platforms based on flexible bioelectronics, including fabrication, devices, electronics and integrated systems; Offers fundamental insights, with practical examples of how to design and build flexible bioelectronic platforms; Includes coverage of data analytics, energy harvesting and power autonomous operation principles.
ISBN: 9783030985387
Standard No.: 10.1007/978-3-030-98538-7doiSubjects--Topical Terms:
605673
Bioelectronics.
LC Class. No.: QH509.5 / .S65 2022
Dewey Class. No.: 621.381
Flexible bioelectronics with power autonomous sensing and data analytics
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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.
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