University of Hertfordshire

By the same authors

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

Research output: Contribution to journalArticlepeer-review



    Final published version, 376 KB, PDF document

View graph of relations
Original languageEnglish
Article number16.20190560
JournalIEICE Electronics Express
Publication statusPublished - 20 Nov 2019


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.


Copyright © 2019 The Institute of Electronics, Information and Communication Engineers

ID: 17827929