A 60 pW gmC continuous wavelet transform circuit for portable EEG systems

Alexander J. Casson, Esther Rodriguez-Villegas

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This paper presents a low power, low voltage and low frequency bandpass filter implementation of a continuous wavelet transform (CWT) for use with physiological signals in the electroencephalogram (EEG) range (1150 μV, 170 Hz bandwidth). Experimental results are presented for a 1 V, 7th order g m C filter based CWT with filter center frequencies ranging from 1 to 64 Hz. Low power and low frequency operation is achieved by biasing the transconductor transistors at low current levels in the deep weak inversion region. The resulting increased mismatch and reduced bandwidth are compensated for at the topology level. The filter has a 43 dB dynamic range and a 60 pW power consumption. This power consumption is three orders of magnitude lower than existing CWT implementations and assessed via a suitable figure of merit the performance is better than all considered bandpass filters. The improvement in the state-of-the-art originates from the close integration of the application requirements, CWT theory, bandpass filter design theory, and low transconductance transconductor design. These topics are described in detail. © 2011 IEEE.
    Original languageEnglish
    Article number5751201
    Pages (from-to)1406-1415
    Number of pages9
    JournalIEEE Journal of Solid State Circuits
    Volume46
    Issue number6
    DOIs
    Publication statusPublished - Jun 2011

    Keywords

    • biomedical signal processing
    • Continuous wavelet transform
    • gm-C filter
    • low power consumption

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