Authors:
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Analog Circuits and Signal Processing (ACSP)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
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.
Bibliographic Information
Book Title: Ultra Low-Power Biomedical Signal Processing
Book Subtitle: An Analog Wavelet Filter Approach for Pacemakers
Authors: Sandro A. P. Haddad, Wouter A. Serdijn
Series Title: Analog Circuits and Signal Processing
DOI: https://doi.org/10.1007/978-1-4020-9073-8
Publisher: Springer Dordrecht
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media B.V. 2009
Hardcover ISBN: 978-1-4020-9072-1Published: 30 April 2009
Softcover ISBN: 978-90-481-8061-5Published: 28 October 2010
eBook ISBN: 978-1-4020-9073-8Published: 26 May 2009
Series ISSN: 1872-082X
Series E-ISSN: 2197-1854
Edition Number: 1
Number of Pages: X, 215
Topics: Biomedical Engineering and Bioengineering, Signal, Image and Speech Processing