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

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.

Sommario

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.

Riassunto

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.

Dettagli sul prodotto

• Autori: Sandro Augusto Pavli Haddad, Sandro Augusto Pavlik Haddad, Wouter A Serdijn, Wouter A. Serdijn
• Editore: Springer Netherlands
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 11.05.2011
• EAN: 9789048180615
• ISBN: 978-90-481-8061-5
• Pagine: 215
• Peso: 349 g
• Illustrazioni: X, 215 p.
• Serie: Analog Circuits and Signal Processing; Analog Circuits and Signal Processing (ACSP); Analog Circuits and Signal Processing; Analog Circuits and Signal Processing (ACSP)
• Categorie: Scienze naturali, medicina, informatica, tecnica > Tecnica > Altro; Elektronik, C, engineering, Digitale Signalverarbeitung (DSP), Signal, Image and Speech Processing, Signal Processing, Biomedical Engineering and Bioengineering, Biomedical engineering, Speech processing systems, Digital and Analog Signal Processing, Imaging systems & technology, Image processing, Signal, Speech and Image Processing