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E-book
Author Holleman, Jeremy.

Title Ultra low-power integrated circuit design for wireless neural interfaces / Jeremy Holleman, Fan Zhang, Brian Otis
Published New York : Springer, ©2011

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Description 1 online resource (vii, 121 pages) : illustrations
Contents Contents -- Introduction -- Bio-Signal Interface Amplifiers: An Introduction -- Characteristics of the Recording Electrodes -- Characteristics of Bio-Signals -- Brain Recordings -- Muscle-Based Signals -- Noise/Power Tradeoff -- Flicker Noise, 1/f Noise -- Thermal Noise -- Representative Prior Art -- A Low-Power, Low-Noise, Open-Loop Amplifier for Neural Recording -- Open-Loop Amplifier Design -- Results -- Effect of Non-Linearity on Neural Recordings -- Conclusions -- Closed-Loop Neural Recording Amplifier Design Techniques
Design of a Closed-Loop Telescopic AmplifierClosed-Loop Architecture -- Analysis of Pseudo-Resistors -- Telescopic OTA Design Overview -- Design Optimization -- Stability and Common-Mode Feedback -- Design of a Closed-Loop Complementary-Input Amplifier -- Design of an Closed-Loop Fully-Differential Complementary-Input Amplifier -- Design of a Variable-Gain Amplifier -- Closed-Loop Bio-Signal Amplifiers: Experimental Results -- Amplifier Testing -- Variable Gain Amplifier (VGA) Testing -- In-Vivo Testing
Design and Implementation of Chopper-Stabilized AmplifiersChopper-Stabilization Technique -- Open-Loop Operation Principle -- Closed-Loop Operation Principle -- Design of a Chopper-Stabilized Amplifier -- Hardware Implementation -- Transfer Function -- Amplifier Noise -- Spike Detection and Characterization -- The Spike Detection Task -- Spike Detection Techniques -- Analog and Mixed-Mode Computation -- System Design -- Spike Detector -- Feature Extraction -- Analog-Digital Converter -- Results -- Spike Sorting -- Overview
K-Means Clustering AlgorithmHardware Considerations for Analog On-Line Clustering -- On-Line Median Learning -- Non-Ideal Computational Elements -- Asymmetric Updates -- Analog Clustering Circuit -- Floating-Gate Memories -- Device Characterization -- Circuit Design -- Clustering Circuit -- Floating-Gate Memory Cell -- Decision Circuit -- Experimental Results -- Update Rates -- Memory Cell Retention -- Classification -- Clustering Convergence -- Discussion -- NeuralWISP: A Wirelessly Powered Spike Density Recording System
Previous Neural Recording SystemsSystem Design -- Analog Signal Path -- Digital Control -- Test Results -- Experimental Results -- Conclusions -- A 500mW Wireles Neural Streaming System -- Analog Front End -- Conversion and Control -- MICS-band Wireless Transmitter -- Results -- Conclusions -- Index
Summary Micro-power Integrated Circuits for Neural Interfaces Jeremy Holleman Fan Zhang Brian Otis This book describes 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 describes 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. -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; -Uses results from real prototype systems to demonstrate techniques described
Bibliography Includes bibliographical references and index
Notes English
Print version record
Subject Low voltage integrated circuits -- Design and construction
TECHNOLOGY & ENGINEERING -- Electronics -- Circuits -- General.
TECHNOLOGY & ENGINEERING -- Electronics -- Circuits -- Integrated.
Ingénierie.
Low voltage integrated circuits -- Design and construction
Form Electronic book
Author Zhang, Fan
Otis, Brian.
LC no. 2010936899
ISBN 9781441967275
1441967273
1441967265
9781441967268
1489993703
9781489993700