Analog Circuits and Signal Processing

Ultra Low-Power Biomedical Signal Processing

An Analog Wavelet Filter Approach for Pacemakers

Authors: Haddad, Sandro Augusto Pavlik, Serdijn, Wouter A.

  • Offers a structured approach to filter design, starting from an arbitrary transfer function or impulse response, all the way down to the actual circuit design
  • Concentrates on low-power design at all the hierarchical design levels involved, viz. of the transfer function, of the topology and of the circuit; at all levels the results are verified and put into perspective
  • Provides an overview of the history and development of cardiac pacemakers, the first implantable biomedical electronic device and an outlook to future devices
  • Bridges the gap between the mathematics domain and the electronics domain
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  • ISBN 978-1-4020-9073-8
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Hardcover $199.00
price for USA
  • ISBN 978-1-4020-9072-1
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Softcover $199.00
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  • ISBN 978-90-481-8061-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Ultra Low-Power Biomedical Signal Processing describes signal processing methodologies and analog integrated circuit techniques for low-power biomedical systems. Physiological signals, such as the electrocardiogram (ECG), the electrocorticogram (ECoG), the electroencephalogram (EEG) and the electromyogram (EMG) are mostly non-stationary. The main difficulty in dealing with biomedical signal processing is that the information of interest is often a combination of features that are well localized temporally (e.g., spikes) and others that are more diffuse (e.g., small oscillations). This requires the use of analysis methods sufficiently versatile to handle events that can be at opposite extremes in terms of their time-frequency localization.

Wavelet Transform (WT) has been extensively used in biomedical signal processing, mainly due to the versatility of the wavelet tools. The WT has been shown to be a very efficient tool for local analysis of non-stationary and fast transient signals due to its good estimation of time and frequency (scale) localizations. Being a multi-scale analysis technique, it offers the possibility of selective noise filtering and reliable parameter estimation.

Often WT systems employ the discrete wavelet transform, implemented on a digital signal processor. However, in ultra low-power applications such as biomedical implantable devices, it is not suitable to implement the WT by means of digital circuitry due to the relatively high power consumption associated with the required A/D converter. Low-power analog realization of the wavelet transform enables its application in vivo, e.g. in pacemakers, where the wavelet transform provides a means to extremely reliable cardiac signal detection.

In Ultra Low-Power Biomedical Signal Processing we present a novel method for implementing signal processing based on WT in an analog way. The methodology presented focuses on the development of ultra low-power analog integrated circuits that implement the required signal processing, taking into account the limitations imposed by an implantable device.

Table of contents (8 chapters)

  • Introduction

    Haddad, Sandro A. P. (et al.)

    Pages 1-12

  • The Evolution of Pacemakers: An Electronics Perspective

    Haddad, Sandro A. P. (et al.)

    Pages 13-31

  • Wavelet versus Fourier Analysis

    Haddad, Sandro A. P. (et al.)

    Pages 33-50

  • Analog Wavelet Filters: The┬áNeed for Approximation

    Haddad, Sandro A. P. (et al.)

    Pages 51-74

  • Optimal State Space Descriptions

    Haddad, Sandro A. P. (et al.)

    Pages 75-94

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-1-4020-9073-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.00
price for USA
  • ISBN 978-1-4020-9072-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.00
price for USA
  • ISBN 978-90-481-8061-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Ultra Low-Power Biomedical Signal Processing
Book Subtitle
An Analog Wavelet Filter Approach for Pacemakers
Authors
Series Title
Analog Circuits and Signal Processing
Copyright
2009
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media B.V.
eBook ISBN
978-1-4020-9073-8
DOI
10.1007/978-1-4020-9073-8
Hardcover ISBN
978-1-4020-9072-1
Softcover ISBN
978-90-481-8061-5
Series ISSN
1872-082X
Edition Number
1
Number of Pages
X, 215
Topics