BioSens

Biomedical Signal Processing Platform for Low-Power Real-Time Sensing of Cardiac Signals


Real-time Cardiac Signal Processing for Low-Power Applications

Joël M.H. Karel

Abstract:

Pacemakers and other implantable devices detect events by real-time processing of cardiac signals. In order to create a sense amplifier, the mathematical modeling of cardiac signals and pathologies is necessary. From this modeling step, real-time signal processing tools are developed to detect events by exploiting the mathematical morphology of these signals. The focus here is on wavelet transforms that can be implemented in analog circuits by means of Dynamic Translinear Circuits, yielding a lower power consumption than wavelet transforms in the digital domain. In order to implement wavelets in the analog domain, the wavelet functions have to be approximated by the impulse response of linear systems, where techniques as model-reduction, Padé-approximation, \begin{displaymath}L_2\end{displaymath} -approximation and simulation are being used.

Poster presentation:

DISC Systems and Control Day
26 November 2004
Delft University of Technology