Literature DB >> 25073127

A frequency shaping neural recorder with 3 pF input capacitance and 11 plus 4.5 bits dynamic range.

Jian Xu, Tong Wu, Wentai Liu, Zhi Yang.   

Abstract

This paper presents a frequency-shaping (FS) neural recording architecture and its implementation in a 0.13 μ m CMOS process. Compared with its conventional counterpart, the proposed architecture inherently rejects electrode offset, increases input impedance 5-10 fold, compresses neural data dynamic range (DR) by 4.5-bit, simultaneously records local field potentials (LFPs) and extracellular spikes, and is more suitable for long-term recording experiments. Measured at a 40 kHz sampling clock and ± 0.6 V supply, the recorder consumes 50 μW/ch, of which 22 μW per FS amplifier, 24 μ W per buffer, 4 μ W per 11-bit successive approximation register analog-to-digital converter (SAR ADC). The input-referred noise for LFPs and extracellular spikes are 13 μ Vrms and 7 μVrms, respectively, which are sufficient to achieve high-fidelity full-spectrum neural data. In addition, the designed recorder has a 3 pF input capacitance and allows " 11+4.5"-bit neural data DR without system saturation, where the extra 4.5-bit owes to the FS technique. Its figure-of-merit (FOM) based on data DR reaches 36.0 fJ/conversion-step.

Mesh:

Year:  2014        PMID: 25073127     DOI: 10.1109/TBCAS.2013.2293821

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  6 in total

1.  A Wide Dynamic Range Neural Data Acquisition System With High-Precision Delta-Sigma ADC and On-Chip EC-PC Spike Processor.

Authors:  Jian Xu; Anh Tuan Nguyen; Tong Wu; Wenfeng Zhao; Diu Khue Luu; Zhi Yang
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2020-02-06       Impact factor: 3.833

2.  Online Artifact Cancelation in Same-Electrode Neural Stimulation and Recording Using a Combined Hardware and Software Architecture.

Authors:  Stanislav Culaclii; Brian Kim; Yi-Kai Lo; Lin Li; Wentai Liu
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2018-06       Impact factor: 3.833

3.  Exploiting Electrocorticographic Spectral Characteristics for Optimized Signal Chain Design: A 1.08 Analog Front End With Reduced ADC Resolution Requirements.

Authors:  William A Smith; Brian J Mogen; Eberhard E Fetz; Visvesh S Sathe; Brian P Otis
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2016-04-06       Impact factor: 5.234

4.  A 0.0023 mm 2/ch. Delta-Encoded, Time-Division Multiplexed Mixed-Signal ECoG Recording Architecture With Stimulus Artifact Suppression.

Authors:  John P Uehlin; William Anthony Smith; V Rajesh Pamula; Steve I Perlmutter; Jacques C Rudell; Visvesh S Sathe
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2019-12-31       Impact factor: 5.234

Review 5.  A Bidirectional Neuromodulation Technology for Nerve Recording and Stimulation.

Authors:  Jian Xu; Hongsun Guo; Anh Tuan Nguyen; Hubert Lim; Zhi Yang
Journal:  Micromachines (Basel)       Date:  2018-10-23       Impact factor: 2.891

6.  Deep Learning-Based Approaches for Decoding Motor Intent From Peripheral Nerve Signals.

Authors:  Diu K Luu; Anh T Nguyen; Ming Jiang; Jian Xu; Markus W Drealan; Jonathan Cheng; Edward W Keefer; Qi Zhao; Zhi Yang
Journal:  Front Neurosci       Date:  2021-06-23       Impact factor: 4.677

  6 in total

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