Print Email Facebook Twitter Ultra low-power biomedical signal processing: An analog wavelet filter approach for pacemakers Title Ultra low-power biomedical signal processing: An analog wavelet filter approach for pacemakers Author Pavlík Haddad, S.A. Contributor Long, J.R. (promotor) Faculty Electrical Engineering, Mathematics and Computer Science Date 2006-12-12 Abstract The purpose of this thesis is to describe novel signal processing methodologies and analog integrated circuit techniques for low-power biomedical systems. Physiological signals, such as the electrocardiogram (ECG), the electroencephalogram (EEG) and the electromyogram (EMG) are mostly non-stationary. The main difficulty in dealing with biomedical signal processing is that the information of interest is often a combination of features that are well localized temporally (e.g., spikes) and others that are more diffuse (e.g., small oscillations). This requires the use of analysis methods sufficiently versatile to handle events that can be at opposite extremes in terms of their time-frequency localization. Wavelet Transform (WT) has been extensively used in biomedical signal processing, mainly due to the versatility of the wavelet tools. The WT has been shown to be a very efficient tool for local analysis of nonstationary and fast transient signals due to its good estimation of time and frequency (scale) localizations. Being a multiscale analysis technique, it offers the possibility of selective noise filtering and reliable parameter estimation. Signal analysis methods derived from wavelet analysis carry large potential to support a wide range of biomedical signal processing applications including noise reduction, feature recognition and signal compression. The discussion here deals with wavelet techniques for cardiac signals analysis. 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 this thesis 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. Subject biomedical systemspacemakerswavelet transformanalog signal processinganalog wavelet filterslow-power analog integratorstranslinear circuitslog-domain filtersgmc filtersclass ab sinh integratorsanalog integrated circuitselectronics To reference this document use: http://resolver.tudelft.nl/uuid:bd7ab4e8-602d-4b24-a9ce-63313e47e6b0 ISBN 978-90-9021237-1 Part of collection Institutional Repository Document type doctoral thesis Rights (c) 2006 Pavlík Haddad, S.A. Files PDF its_haddad_20061212.pdf 8.04 MB Close viewer /islandora/object/uuid:bd7ab4e8-602d-4b24-a9ce-63313e47e6b0/datastream/OBJ/view