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A Low Voltage, Low Power 4th Order Continuous-time Butterworth Filter for Electroencephalography Signal Recognition

Mulyana, Ridwan S.

Abstract Details

2010, Master of Science, Ohio State University, Electrical and Computer Engineering.
Operational Transconductance Amplifier filter (OTA-C) in biomedical devices have been explored significantly because of its advantages in low power and low voltage design which is very important for battery powered biomedical devices. Main idea of this design is to implement Gm-C filter in low voltage, power, and frequency with increased linearity and dynamic range. Moreover, portable patient monitoring system devices becomes more significant because it does not limit one’s mobility in daily activities. In order to operate in sub-hertz frequency, a very low transconductance or a very high capacitance value is required. Increasing capacitor size is not an option as it will consume more silicon area. In this thesis, a filter for Electroencephalography (EEG) data acquisition system is designed. It is based on continuous-time analog filter topology to provide a good accuracy and high performance. The designed circuit combines active linearization technique with series-parallel current array to achieve good linearity and low power consumption. A tunable fourth-order maximally flat continuous-time filter is designed by using the OTAs. By utilizing biquad filter structure which is implemented with several different OTA configurations, a higher order filter can be achieved simply by cascading its structure. The overall system is designed in 180nm CMOS technology from TSMC library. In deep analysis of circuit and design procedures are discussed in the following chapters. Simulation results are also included to verify the robustness of the design. Finally, with a supply voltage of 1.5V, the filter is capable of handling input signals up to 400mV with a low distortion (THD = 52.3dB). As the total active area only 750µm x 550µm and total power consumption of 4.7µW, the filter is suitable for portable EEG data acquisition system.
Mohammed Ismail El-Naggar, PhD (Advisor)
Waleed Khalil, PhD (Committee Member)
80 p.

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Citations

  • Mulyana, R. S. (2010). A Low Voltage, Low Power 4th Order Continuous-time Butterworth Filter for Electroencephalography Signal Recognition [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1281981810

    APA Style (7th edition)

  • Mulyana, Ridwan. A Low Voltage, Low Power 4th Order Continuous-time Butterworth Filter for Electroencephalography Signal Recognition. 2010. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1281981810.

    MLA Style (8th edition)

  • Mulyana, Ridwan. "A Low Voltage, Low Power 4th Order Continuous-time Butterworth Filter for Electroencephalography Signal Recognition." Master's thesis, Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1281981810

    Chicago Manual of Style (17th edition)