Szczegóły publikacji

Opis bibliograficzny

A 0.0046 $mm^{2}$ low-distortion CMOS neural preamplifier for large-scale neuroelectronic interfaces / Beata TRZPIL-JURGIELEWICZ, Władysław DĄBROWSKI, Paweł HOTTOWY // W: NER'19 : 2019 9th international IEEE/EMBS conference on Neural Engineering (NER) : 20-23 March 2019, San Francisco, California / IEEE. — New York : IEEE, [2019]. — (International IEEE EMBS Conference on Neural Engineering ; ISSN 1948-3546). — ISBN: 978-1-5386-7921-0. — S. 698-701. — Bibliogr. s. 701, Abstr.

Autorzy (3)

Dane bibliometryczne

ID BaDAP123111
Data dodania do BaDAP2019-07-29
Tekst źródłowyURL
DOI10.1109/NER.2019.8716992
Rok publikacji2019
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
WydawcaInstitute of Electrical and Electronics Engineers (IEEE)
Konferencja2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)
Czasopismo/seriaInternational IEEE EMBS Conference on Neural Engineering

Abstract

We present a design and analysis of nonlinear distortions for low-area integrated neural preamplifier with pseudoresistor-based AC coupling. We evaluate the distortions as a function of frequency, signal amplitude and sizing of the pseudoresistors. We describe a preamplifier design in 0.18 mu m SOI CMOS technology with Total Harmonic Distortions (THD) below 1% in the full range of frequencies and amplitudes of extracellular neural signals. The circuit noise is 5.82 mu V rms in the Local Field Potential (LFP) frequency range (1-300 Hz) and 4.45 mu V rms in the action potential (AP) range (300 Hz -5 kHz). The preamplifier occupies silicon area of 0.0046 mm(2) and is suitable for recording systems with > 10,000 channels per cm(2) of the chip area, providing high-fidelity amplification for large-scale neural interfaces.

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