Evidence map›Paper›PMID 34483356›Full record

ArticleIEEE journal of solid-state circuits2021

A Bidirectional Neural Interface SoC With Adaptive IIR Stimulation Artifact Cancelers.

Aria Samiei, Hossein Hashemi

Abstract read
In one paragraph

Article in IEEE journal of solid-state circuits, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Aria SamieiMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089 USA.
Hossein HashemiMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089 USA.

Funding

Flexible neural probe arrays for large-scale cortical and subcortical recordingU01NS099703 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MENG, ELLIS · 2016 to 2018
$1.2M
NINDS NIH HHS U01 NS099703
6 · The paper itself

Abstract

We present a 180-nm CMOS bidirectional neural interface system-on-chip that enables simultaneous recording and stimulation with on-chip stimulus artifact cancelers. The front-end cancellation scheme incorporates a least-mean-square engine that adapts the coefficients of a 2-tap infinite-impulse-response filter to replicate the stimulation artifact waveform and subtract it at the front-end. Measurements demonstrate the efficacy of the canceler in mitigating artifacts up to 700 mV

Indexed as

adaptive LMSartifact cancellationIIR filterneural recordingneural stimulation

Identifiers

PMID34483356
PMCPMC8409175

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.