Ultra Low-Power Biomedical Signal Processing: An Analog Wavelet Filter Approach for Pacemakers

by Sandro Augusto Pavlik Haddad, Wouter A. Serdijn

Overview

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.

Product Details

ISBN-13:	9789048180615
Publisher:	Springer Netherlands
Publication date:	12/08/2010
Series:	Analog Circuits and Signal Processing
Edition description:	Softcover reprint of hardcover 1st ed. 2009
Pages:	215
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

The Evolution of Pacemakers: An Electronics Perspective.- Wavelet versus Fourier Analysis.- Analog Wavelet Filters: The Need for Approximation.- Optimal State Space Descriptions.- Ultra Low-Power Integrator Designs.- Ultra Low-Power Biomedical System Designs.- Conclusions and Future Research.