Design of a Third Order Butterworth Gm-C Filter for EEG Signal Detection Application

This paper presents the design of a fully differential low pass $G_{m}$ -C filter including the preamplifier circuit as an input stage. The design is targeted for a biomedical application such as electroencephalogram signal detection. The complete circuit including supporting circuitry has been designed and implemented in a standard 180 nm CMOS technology with the supply voltage of 1.8 V. The post-layout simulation results show 21.8 dB closed loop gain, 206 Hz 3-dB bandwidth, and 689 nW power consumption. The designed filter gives effectively third order butterworth response including the preamplier circuit. The filter shows a transconductance of 2.8 nS at 200 Hz frequency. The filter shows satisfactory performance from −20°C to 80°C with varying process corners. The statistical mismatch analysis shows 724 ndB standard deviation of gain from the mean value of 21.8 dB. Input referred noise (IRN) shows $\pmb{94.6}\mathbf{aV}/\sqrt{Hz}$ standard deviation from the mean value of $\pmb{81.7}u\mathbf{V}/\sqrt{Hz}$.

[1]  Jose Mariano Jimenez Fuentes,et al.  Highly linear tunable CMOS Gm-C low-pass filter , 2009 .

[2]  Chao Yang,et al.  A passive CMOS low-pass filter for high speed and high SNDR applications , 2015, 2015 IEEE International Symposium on Circuits and Systems (ISCAS).

[3]  Shuenn-Yuh Lee,et al.  Systematic Design and Modeling of a OTA-C Filter for Portable ECG Detection , 2009, IEEE Transactions on Biomedical Circuits and Systems.

[4]  Yannis Tsividis,et al.  Integrated continuous-time filter design - an overview , 1994, IEEE J. Solid State Circuits.

[5]  Yong Ping Xu,et al.  A CMOS Continuous-Time Low-Pass Notch Filter for EEG Systems , 2005 .

[6]  Hao Min,et al.  A low-power low-noise amplifier for EEG/ECG signal recording applications , 2011, 2011 9th IEEE International Conference on ASIC.

[7]  Hiroo Wakaumi A switched-capacitor filter with dynamic switching bias OP amplifiers , 2017, 2017 IEEE 8th Latin American Symposium on Circuits & Systems (LASCAS).

[8]  Edgar Sanchez-Sinencio,et al.  Transconductance amplifier structures with very small transconductances: a comparative design approach , 2002 .

[9]  Ramón González Carvajal,et al.  Highly Linear Tunable CMOS $Gm{\hbox{-}}C$ Low-Pass Filter , 2009, IEEE Transactions on Circuits and Systems I: Regular Papers.

[10]  Donel Anto,et al.  0.5 V, ultra low power multi standard Gm-C filter for biomedical applications , 2016, 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT).

[11]  Chun-Lung Hsu,et al.  Design of Low-Frequency Low-Pass Filters for Biomedical Applications , 2006, APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems.

[12]  Hasina F. Huq,et al.  A 128.7nW neural amplifier and Gm-C filter for EEG, using gm/ID methodology and a current reference without resistance , 2014, 2014 IEEE 57th International Midwest Symposium on Circuits and Systems (MWSCAS).

[13]  Yannis Tsividis,et al.  Integrated continuous-time filter design , 1993, Proceedings of IEEE Custom Integrated Circuits Conference - CICC '93.

[14]  Franco Maloberti,et al.  A 60-dB dynamic-range CMOS sixth-order 2.4-Hz low-pass filter for medical applications , 2000 .

[15]  T. Maeda,et al.  A widely tunable CMOS Gm-C filter with a negative source degeneration resistor transconductor , 2003, ESSCIRC 2004 - 29th European Solid-State Circuits Conference (IEEE Cat. No.03EX705).

[16]  José Silva-Martínez,et al.  Design considerations for high performance very low frequency filters , 1999, ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349).

[17]  E. Sanchez-Sinencio,et al.  Active filter design using operational transconductance amplifiers: A tutorial , 1985, IEEE Circuits and Devices Magazine.

[18]  R. Kaszynski,et al.  New Concept of Delay Equalized Low-Pass Butterworth Filters , 2006, 2006 IEEE International Symposium on Industrial Electronics.

[19]  M. Teplan FUNDAMENTALS OF EEG MEASUREMENT , 2002 .