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Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces

  • Book
  • © 2011

Overview

Authors:
  1. Jeremy Holleman

    1. Dept. Electrical Engineering &, Computer Science, University of Tennessee, Knoxville, Knoxville, USA

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  2. Fan Zhang

    1. , Department of Electrical Engineering, University of Washington, Seattle, USA

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    You can also search for this author in PubMed   Google Scholar

  3. Brian Otis

    1. Dept. Electrical Engineering, University of Washington, Seattle, USA

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  • Covers analog, radio, and signal processing theory and design for ultra low-power circuits, tied together throughout the book to form an entire system
  • Provides fundamental requirements of neural recording systems, as well as design techniques for reducing power consumption in low-noise amplifiers
  • Includes miniaturized system-integration techniques in the context of ultra low-power circuits

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Table of contents (12 chapters)

  1. Front Matter

    Pages 1-6
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  2. Introduction

    • Jeremy Holleman, Fan Zhang, Brian Otis
    Pages 1-7

  3. Bio-signal Interface Amplifiers: an Introduction

    • Jeremy Holleman, Fan Zhang, Brian Otis
    Pages 9-14

  4. A Low-Power Low-Noise Open-loop Amplifier for Neural Recording

    • Jeremy Holleman, Fan Zhang, Brian Otis
    Pages 15-24

  5. Closed-loop Neural Recording Amplifier Design Techniques

    • Jeremy Holleman, Fan Zhang, Brian Otis
    Pages 25-35

  6. Closed-loop Bio-signal Amplifiers: Experimental Results

    • Jeremy Holleman, Fan Zhang, Brian Otis
    Pages 37-44

  7. Design and Implementation of chopper-stabilized amplifiers

    • Jeremy Holleman, Fan Zhang, Brian Otis
    Pages 45-49

  8. Spike Detection and Characterization

    • Jeremy Holleman, Fan Zhang, Brian Otis
    Pages 51-63

  9. Spike Sorting

    • Jeremy Holleman, Fan Zhang, Brian Otis
    Pages 65-74

  10. Analog Clustering Circuit

    • Jeremy Holleman, Fan Zhang, Brian Otis
    Pages 75-96

  11. NeuralWISP: A Wirelessly Powered Spike Density Recording System

    • Jeremy Holleman, Fan Zhang, Brian Otis
    Pages 97-110

  12. A 500μW Wireles Neural Streaming System

    • Jeremy Holleman, Fan Zhang, Brian Otis
    Pages 111-115

  13. Conclusions

    • Jeremy Holleman, Fan Zhang, Brian Otis
    Pages 117-118

  14. Back Matter

    Pages 120-122
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Keywords

About this book

This book will describe ultra low-power, integrated circuits and systems designed for the emerging field of neural signal recording and processing, and wireless communication. Since neural interfaces are typically implanted, their operation is highly energy-constrained. This book introduces concepts and theory that allow circuit operation approaching the fundamental limits. Design examples and measurements of real systems are provided. The book will describe circuit designs for all of the critical components of a neural recording system, including: Amplifiers which utilize new techniques to improve the trade-off between good noise performance and low power consumption. Analog and mixed-signal circuits which implement signal processing tasks specific to the neural recording application: Detection of neural spikes Extraction of features that describe the spikes Clustering, a machine learning technique for sorting spikes Weak-inversion operation of analog-domain transistors, allowing processing circuits that reduce the requirements for analog-digital conversion and allow low system-level power consumption. Highly-integrated, sub-mW wireless transmitter designed for the Medical Implant Communications Service (MICS) and ISM bands.

Authors and Affiliations

  • Dept. Electrical Engineering &, Computer Science, University of Tennessee, Knoxville, Knoxville, USA

    Jeremy Holleman

  • , Department of Electrical Engineering, University of Washington, Seattle, USA

    Fan Zhang

  • Dept. Electrical Engineering, University of Washington, Seattle, USA

    Brian Otis

Bibliographic Information

  • Book Title: Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces

  • Authors: Jeremy Holleman, Fan Zhang, Brian Otis

  • DOI: https://doi.org/10.1007/978-1-4419-6727-5

  • Publisher: Springer New York, NY

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Science+Business Media, LLC 2011

  • Hardcover ISBN: 978-1-4419-6726-8

  • Softcover ISBN: 978-1-4899-9370-0

  • eBook ISBN: 978-1-4419-6727-5

  • Edition Number: 1

  • Number of Pages: VII, 121

  • Topics: Circuits and Systems, Computer-Aided Engineering (CAD, CAE) and Design

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