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        Design of Gm-C wavelet filter for on-line epileptic EEG detection

        Author
        Zhao, Wenshan
        Ma, Lina
        Zhang, Yuzhen
        He, Yigang
        Sun, Yichuang
        Attention
        2299/21981
        Abstract
        Analog filter implementation of continuous wavelet transform is considered as a promising technique for on-line spike detection applied in wearable electroencephalogram system. This Letter proposes a novel method to construct analog wavelet base for analog wavelet filter design, in which the mathematical approximation model in frequency domain is built as an optimization problem and the genetic algorithm is used to find the global optimum resolution. Also, the Gm-C filter structure based on LC ladder simulation is employed to synthesize the obtained analog wavelet base. The Marr wavelet filter is designed as an example using SMIC 1V 0.35μm CMOS technology. Simulation results show that the proposed method can give a stable analog wavelet filter with higher approximation accuracy and excellent circuit performance, which is well suited for the design of low-frequency low-power spike detector.
        Publication date
        2019-11-20
        Published in
        IEICE Electronics Express
        Published version
        https://doi.org/10.1587/elex.16.20190560
        Other links
        http://hdl.handle.net/2299/21981
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