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.