A micropower neural recording amplifier with improved noise efficiency factor
Autor: | Yusuf Leblebici, Alexandre Schmid, Vahid Majidzadeh |
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Rok vydání: | 2009 |
Předmět: |
noise
Power-added efficiency Engineering Frequency response efficincy factor business.industry Amplifier Bandwidth (signal processing) Electrical engineering Micropower Integrated circuit Cortical implants crosstalk law.invention Capacitor law Electronic engineering Partially OTA sharing technique Neural Amplifier Direct-coupled amplifier business |
Zdroj: | ECCTD |
DOI: | 10.1109/ecctd.2009.5274982 |
Popis: | This article presents a neural recording amplifier suitable for large-scale integration with multi-electrode arrays (MEAs) in very low-power microelectronic cortical implants. The proposed amplifier is the most energy-efficient structure reported to date, which achieves an effective noise efficiency factor (NEF) smaller than the theoretical limit that was claimed in literature for any existing amplifier (NEF=3D2.02). The proposed technique, which is referred to as partially OTA sharing technique, achieves a significant reduction of power dissipation as well as silicon area, in addition to the very low NEF. The effect of systematic mismatch on crosstalk between adjacent channels and the trade-off between noise and crosstalk are theoretically analyzed. For an array of four neural amplifiers, simulation results show a midband gain of 39.2 dB and a -3 dB bandwidth from 10 Hz to 10.6 kHz. The input referred noise is simulated to be 2.21 μV rms and the power consumption is 7.92 μW from 1.8 V supply, which refers to NEF=3D1.8. The worst-case crosstalk within the desired bandwidth is -46.1 dB. |
Databáze: | OpenAIRE |
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