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Analog IC Design Techniques for Nanopower Biomedical Signal Processing

Name: Analog IC Design Techniques for Nanopower Biomedical Signal Processing
Brand: River Publishers
SKU: 9788770044691
Price: 1034 CZK
Availability: InStock

Autor: Chutham Sawigun, Wouter A. Serdijn

Jazyk:

Vazba: Brožovaná

Vydavatel: River Publishers

Dostupnost: 50 % šance

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As the requirements for low power consumption and very small physical dimensions in portable, wearab...

Informace o knize

Autor

Chutham Sawigun, Wouter A. Serdijn

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2024

Stránek

198

EAN

9788770044691

Enbook ID

46534772

Vydavatel

River Publishers

Hmotnost

453

Rozměry

156 x 234

Kompletní popis

As the requirements for low power consumption and very small physical dimensions in portable, wearable and implantable medical devices are calling for integrated circuit design techniques using MOSFETs operating in the subthreshold regime, this book first revisits some well-known circuit techniques that use CMOS devices biased in subthreshold in order to establish nanopower integrated circuit designs. Based on the these findings, this book shows the development of a class-AB current-mode sample-and-hold circuit with an order of magnitude improvement in its figure of merit compared to other state-of-the-art designs. Also, the concepts and design procedures of 1) single-branch filters 2) follower-integrator-based lowpass filters and 3) modular transconductance reduction techniques for very low frequency filters are presented. Finally, to serve the requirement of a very large signal swing in an energy-based action potential detector, a nanopower class-AB current-mode analog multiplier is designed to handle input current amplitudes of more than 10 times the bias current of the multiplier circuit. The invented filter circuits have been fabricated in a standard 0.18 µ CMOS process in order to verify our circuit concepts and design procedures. Their experimental results are reported.

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Analog IC Design Techniques for Nanopower Biomedical Signal Processing

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