کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6945314 | 1450472 | 2016 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Fully differential fifth-order dual-notch powerline interference filter oriented to EEG detection system with low pass feature
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
سخت افزارها و معماری
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
This paper presents a fifth-order dual-notch low pass filter oriented to portable Electroencephalogram (EEG) detection system. The proposed filter is based on active realization of LC ladder topology using digitally programmable balanced output operational transconductance amplifiers (DPOTAs). This filter is utilized to reject the effect of the powerline interference at 50 Hz. Furthermore, it diminishes the frequencies beyond 150 Hz, which removes the third harmonic generated due to the fundamental frequency of the powerline interference. Since our objective to have small cutoff frequency less than 50 Hz, the designed filter must have very low transconductance value (Gm in the order of a few nA/V). This will lead to minimizing the overall area and relaxing the associated capacitance values. Based on this, PSpice simulation results using 0.25-µm CMOS technology operating under ±0.8 V voltage supply are also given. The fully differential fifth-order dual-notch LPF provides post layout simulation results (for Gm=4 nA/V) as follows: THD of 0.0002% for 10 μVp-p at 30 Hz sinusoidal input, input referred noise spectral density of 13 μV/âHz at the passband frequencies, total standby power consumption of 51.8 μW, and the notch depths of 59 dB attenuation around 50 Hz and 40 dB attenuation around 150 Hz. The overall performance makes this filter deserved to be used in aggressive EEG detection systems.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Microelectronics Journal - Volume 56, October 2016, Pages 122-133
Journal: Microelectronics Journal - Volume 56, October 2016, Pages 122-133
نویسندگان
Aisha A. Alhammadi, Soliman A. Mahmoud,