Software-Defined Workflows for Distributed Interoperable Closed-Loop Neuromodulation Control Systems.

Pradeeban Kathiravelu, Parisa Sarikhani, Ping Gu, Babak Mahmoudi

Abstract read

In one paragraph

Article in IEEE access : practical innovations, open solutions, 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.

CONTROL-CORE: A Framework for Simulation and Design of Closed-Loop Peripheral Neuromodulation Control Systems.IEEE access : practical innovations, open solutions · 2022
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

4 authors.

Pradeeban KathiraveluDepartment of Biomedical Informatics, Emory University, Atlanta, GA 30322, USA.ORCID 0000-0002-0335-0458

Parisa SarikhaniDepartment of Biomedical Informatics, Emory University, Atlanta, GA 30322, USA.

Ping GuDepartment of Biomedical Informatics, Emory University, Atlanta, GA 30322, USA.

Babak MahmoudiDepartment of Biomedical Informatics, Emory University, Atlanta, GA 30322, USA.

Funding

A framework for developing translatable intelligent neural interface systems for precision neuromodulation therapiesR01EB028350 · NIBIB · EMORY UNIVERSITY · PI ESMAEILZADEH, HADI, MAHMOUDI, BABAK · 2019 to 2023

$1.6M

NIBIB NIH HHS R01 EB028350

6 · The paper itself

Abstract

Closed-loop neuromodulation control systems facilitate regulating abnormal physiological processes by recording neurophysiological activities and modifying those activities through feedback loops. Designing such systems requires interoperable service composition, consisting of cycles. Workflow frameworks enable standard modular architectures, offering reproducible automated pipelines. However, those frameworks limit their support to executions represented by directed acyclic graphs (DAGs). DAGs need a pre-defined start and end execution step with no cycles, thus preventing the researchers from using the standard workflow languages as-is for closed-loop workflows and pipelines. In this paper, we present

Indexed as

Closed-loop simulationsneuromodulation control systemsworkflow orchestration

Identifiers

PMID34631327

DOI10.1109/access.2021.3113892

PMCPMC8500400

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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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.