Evidence map›Paper›PMID 34393710›Full record

ArticleFrontiers in neuroscience2021

A Biomimetic, SoC-Based Neural Stimulator for Novel Arbitrary-Waveform Stimulation Protocols.

Stanislav Culaclii, Po-Min Wang, Giuliano Taccola, William Yang, Brett Bailey, Yan-Peng Chen, Yi-Kai Lo, Wentai Liu

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Stanislav CulacliiDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States.
Po-Min WangDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States.
Giuliano TaccolaNeuroscience Department, International School for Advanced Studies, Trieste, Italy.
William YangDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States.
Brett BaileyDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States.
Yan-Peng ChenDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States.
Yi-Kai LoDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States.
Wentai LiuDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States.

Funding

Spinal Epidural Electrode Array To Facilitate Standing and Stepping After SCIU01EB007615 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EDGERTON, REGGIE, GAD, PARAG · 2014 to 2018
$4.8M
Novel Transparent, Ultra-soft Neuroelectrode Arrays Based on Nanomeshing Conventional Electrode Materials SUPPLEMENTRF1NS118301 · NINDS · NORTHEASTERN UNIVERSITY · PI FAGIOLINI, MICHELA, FANG, HUI · 2020 to 2022
$2.4M
NIBIB NIH HHS U01 EB007615NINDS NIH HHS RF1 NS118301
6 · The paper itself

Abstract

Novel neural stimulation protocols mimicking biological signals and patterns have demonstrated significant advantages as compared to traditional protocols based on uniform periodic square pulses. At the same time, the treatments for neural disorders which employ such protocols require the stimulator to be integrated into miniaturized wearable devices or implantable neural prostheses. Unfortunately, most miniaturized stimulator designs show none or very limited ability to deliver biomimetic protocols due to the architecture of their control logic, which generates the waveform. Most such designs are integrated into a single System-on-Chip (SoC) for the size reduction and the option to implement them as neural implants. But their on-chip stimulation controllers are fixed and limited in memory and computing power, preventing them from accommodating the amplitude and timing variances, and the waveform data parameters necessary to output biomimetic stimulation. To that end, a new stimulator architecture is proposed, which distributes the control logic over three component tiers - software, microcontroller firmware and digital circuits of the SoC, which is compatible with existing and future biomimetic protocols and with integration into implantable neural prosthetics. A portable prototype with the proposed architecture is designed and demonstrated in a bench-top test with various known biomimetic output waveforms. The prototype is also tested

Indexed as

arbitrary waveformbiomimeticcontrol logicimplantmulti-channelneural stimulatorSoCwireless

Identifiers

PMID34393710
PMCPMC8358079

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.