Abstract
This chapter focuses on the design of novel topologies that are suitable for realizing wavelet filter functions. These filters are extensively used in several biomedical applications and especially in low-voltage/low-power implantable devices for the detection and analysis of cardiac signals. As in previous chapters, low-voltage current mirrors will be employed as active elements, providing, thus, the advantages of resistorless topologies and the electronic adjustment capability of their frequency characteristics. In addition, by using MOS transistors biased in subthreshold region, there is the benefit of ultra low-voltage (0.5 V) operation. The efficiency of the proposed filters is verified through simulation results by employing TSMC 130 nm CMOS process, where the most important performance factors are considered.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
S. Haddad, and W. Serdijn, “Ultra low-power biomedical signal processing: an analog wavelet filter approach for pacemakers”, Springer Science + Business Media, 2009.
S. Haddad, and W. Serdijn, “Mapping the wavelet transform onto silicon: the dynamic translinear approach”, in Proc. IEEE International Symposium on Circuits and Systems (ISCAS), Arizona, USA, pp. 621–624, May 2002.
S. Haddad, R. Houben, and W. Serdijn, “Analog wavelet transform employing dynamic translinear circuits for cardiac signal characterization,” in Proc. IEEE International Symposium on Circuits and Systems (ISCAS), Bangkok, Thailand, pp. 121–124, May 2003.
S. Haddad, N. Verwaal, R. Houben, and W. Serdijn, “Optimized dynamic translinear implementation of the Gaussian wavelet transform”, in Proc. IEEE International Symposium on Circuits and Systems (ISCAS), pp. 145–148, Vancouver, Canada, May 2004.
S. Haddad, S. Bagga, and W. Serdijn, “Log-Domain Wavelet Bases”, IEEE Transactions on Circuits and Systems I, vol. 52, pp. 2023–2032, Oct. 2005.
L. Hongmin, H. Yigang, and Y. Sun, “Detection of Cardiac Signal Characteristic Point Using Log-Domain Wavelet Transform Circuits”, Circuits Systems and Signal Processing, vol. 27, pp. 683–698, Oct. 2008.
P. Agostinho, S. Haddad, J. De Lima, and W. Serdijn, “An ultra low power CMOS pA/V transconductor and its application to wavelet filters”, Analog Integrated Circuits and Signal Processing, vol. 57, pp. 19–27, Nov. 2008.
J. Ramirez-Angulo, M. Robinson, and E. Sanchez-Sinencio, “Current-mode continuous-time filters: two design approaches”, IEEE Transactions on Circuits and Systems II, vol. 39, pp. 337–341, Jun. 1992.
C. Laoudias, and C. Psychalinos, “Universal biquad filters using low-voltage current mirrors”, Analog Integrated Circuits and Signal Processing, vol. 65, no. 1, pp. 77–88, Oct. 2010.
T. Deliyannis, Y. Sun, and J. Fidler, Continuous-time active filter design, CRC Press LLC, 1999.
D. Jones, W. Snelgrove, and A. Sedra, “Orthonormal ladder filters”, IEEE Transactions on Circuits and Systems, vol. 36, pp. 337–343, Mar. 1989.
C. Laoudias, C. Beis, and C. Psychalinos, “0.5 V Wavelet Filters Using Current Mirrors”, in Proc. IEEE International Symposium on Circuits and Systems (ISCAS), Rio de Janeiro, pp. 1443–1446, May 2011.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Laoudias, C., Psychalinos, C. (2012). Filters for Biomedical Applications. In: Integrated Filters for Short Range Wireless and Biomedical Applications. SpringerBriefs in Electrical and Computer Engineering(). Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0260-2_4
Download citation
DOI: https://doi.org/10.1007/978-1-4614-0260-2_4
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-0259-6
Online ISBN: 978-1-4614-0260-2
eBook Packages: EngineeringEngineering (R0)