Evidence map›Paper›PMID 37431519›Full record

ArticleIEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference2022

Design and Simulation of a Low Power 384-channel Actively Multiplexed Neural Interface.

Gabriella Shull, Yieljae Shin, Jonathan Viventi, Thomas Jochum, James Morizio, Kyung Jin Seo, Hui Fang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Gabriella ShullDepartment of Biomedical Engineering, Duke University, Durham, North Carolina.
Yieljae ShinThayer School of Engineering, Dartmouth College, Hanover, New Hampshire.
Jonathan ViventiDepartment of Biomedical Engineering, Duke University, Durham, North Carolina.
Thomas JochumDepartment of Biomedical Engineering, Duke University, Durham, North Carlonia.
James MorizioDepartment of Electrical Engineering, Duke University, Durham, North Carolina.
Kyung Jin SeoThayer School of Engineering, Dartmouth College, Hanover, New Hampshire.
Hui FangThayer School of Engineering, Dartmouth College, Hanover, New Hampshire.

Funding

Neuro-CROWN:Optimized Ultra-Flexible CMOS Electrode Arrays for 3D, Low-Noise Neural InterfacesU01NS123668 · NINDS · DUKE UNIVERSITY · PI FANG, HUI, VIVENTI, JONATHAN · 2021 to 2024
$2.9M
NINDS NIH HHS U01 NS123668
6 · The paper itself

Abstract

Brain computer interfaces (BCIs) provide clinical benefits including partial restoration of lost motor control, vision, speech, and hearing. A fundamental limitation of existing BCIs is their inability to span several areas (> cm

Indexed as

active electrodebrain computer interfacesneural interfacestime division multiplexing

Identifiers

PMID37431519
PMCPMC10331316

What OpenQuestion holds

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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.