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Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems

  • Venkata Rajesh Pamula
  • Chris Van Hoof
  • Marian Verhelst

Part of the Analog Circuits and Signal Processing book series (ACSP)

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Venkata Rajesh Pamula, Chris Van Hoof, Marian Verhelst
    Pages 1-9
  3. Venkata Rajesh Pamula, Chris Van Hoof, Marian Verhelst
    Pages 11-31
  4. Venkata Rajesh Pamula, Chris Van Hoof, Marian Verhelst
    Pages 33-53
  5. Venkata Rajesh Pamula, Chris Van Hoof, Marian Verhelst
    Pages 55-67
  6. Venkata Rajesh Pamula, Chris Van Hoof, Marian Verhelst
    Pages 69-94
  7. Venkata Rajesh Pamula, Chris Van Hoof, Marian Verhelst
    Pages 95-102
  8. Back Matter
    Pages 103-114

About this book

Introduction

This book discusses the design and implementation aspects of ultra-low power biosignal acquisition platforms that exploit analog-assisted and algorithmic approaches for power savings.The authors describe an approach referred to as “analog-and-algorithm-assisted” signal processing.This enables significant power consumption reductions by implementing low power biosignal acquisition systems, leveraging analog preprocessing and algorithmic approaches to reduce the data rate very early in the signal processing chain.They demonstrate savings for wearable sensor networks (WSN) and body area networks (BAN), in the sensors’ stimulation power consumption, as well in the power consumption of the digital signal processing and the radio link. Two specific implementations, an adaptive sampling electrocardiogram (ECG) acquisition and a compressive sampling (CS) photoplethysmogram (PPG) acquisition system, are demonstrated.

  • First book to present the so called, “analog-and-algorithm-assisted” approaches for ultra-low power biosignal acquisition and processing platforms;
  • Covers the recent trend of “beyond Nyquist rate” signal acquisition and processing in detail, including adaptive sampling and compressive sampling paradigms;
  • Includes chapters on compressed domain feature extraction, as well as acquisition of photoplethysmogram, an emerging optical sensing modality, including compressive sampling based PPG readout with embedded feature extraction;
  • Discusses emerging trends in sensor fusion for improving the signal integrity, as well as lowering the power consumption of biosignal acquisition systems.

Keywords

Bio-Medical CMOS ICs Wearable Biomedical Interfaces Biopotential Readout Circuits Photoplethysmogram (PPG) Read-out Beyond Nyquist rate signal acquisition and processing

Authors and affiliations

  • Venkata Rajesh Pamula
    • 1
  • Chris Van Hoof
    • 2
  • Marian Verhelst
    • 3
  1. 1.imecLeuvenBelgium
  2. 2.imecLeuvenBelgium
  3. 3.KU Leuven ESAT-MICASLeuvenBelgium

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-05870-8
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-030-05869-2
  • Online ISBN 978-3-030-05870-8
  • Series Print ISSN 1872-082X
  • Series Online ISSN 2197-1854
  • Buy this book on publisher's site