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research
Design of Gm-C wavelet filter for on-line epileptic EEG detection
Authors
Yigang He
Lina Ma
+3 more
Yichuang Sun
Yuzhen Zhang
Wenshan Zhao
Publication date
1 January 2019
Publisher
'Institute of Electronics, Information and Communications Engineers (IEICE)'
Doi
Cite
Abstract
Copyright © 2019 The Institute of Electronics, Information and Communication EngineersAnalog 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.Peer reviewe
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University of Hertfordshire Research Archive
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oai:uhra.herts.ac.uk:2299/2198...
Last time updated on 09/03/2020
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University of Hertfordshire Research Archive
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oai:uhra.herts.ac.uk:2299/2197...
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University of Hertfordshire Research Archive
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