Evidence map›Paper›PMID 35571976›Full record

ArticleAnalog integrated circuits and signal processing2022

Auricular vagus nerve stimulator for closed-loop biofeedback-based operation.

Babak Dabiri, Klaus Zeiner, Arnaud Nativel, Eugenijus Kaniusas

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Analog integrated circuits and signal processing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06294509 (Feasibility and Effects of Transcutaneous Auricular Vagus Nerve Stimulation Timings in a Sensorimotor Task), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 40% of its field
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.

NCT06294509 naunknown statusnot on this mapstarted 2024, after this paper: background citation

Feasibility and Effects of Transcutaneous Auricular Vagus Nerve Stimulation Timings in a Sensorimotor Task

TypeinterventionalSponsorOlivier LambercyRan2024 to 2025Enrolled75ConditionsHealthyArmsin-house developed transcutaneous auricular Vagus Nerve Stimulation device
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. 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

4 authors at 1 institution in 1 country.

Babak DabiriInstitute of Electrodynamics, Microwave and Circuit Engineering, Vienna University of Technology, Vienna, Austria.ORCID 0000-0001-8978-2261
Klaus ZeinerInstitute of Electrodynamics, Microwave and Circuit Engineering, Vienna University of Technology, Vienna, Austria.
Arnaud NativelInstitute of Electrodynamics, Microwave and Circuit Engineering, Vienna University of Technology, Vienna, Austria.
Eugenijus KaniusasInstitute of Electrodynamics, Microwave and Circuit Engineering, Vienna University of Technology, Vienna, Austria.
TU Wien · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Auricular vagus nerve stimulation (aVNS) is a novel neuromodulatory therapy used for treatment of various chronic systemic disorders. Currently, aVNS is non-individualized, disregarding the physiological state of the patient and therefore making it difficult to reach optimum therapeutic outcomes. A closed-loop aVNS system is required to avoid over-stimulation and under-stimulation of patients, leading to personalized and thus improved therapy. This can be achieved by continuous monitoring of individual physiological parameters that serve as a basis for the selection of optimal aVNS settings. In this work we developed a novel aVNS hardware for closed-loop application, which utilizes cardiorespiratory sensing using embedded sensors (and/or external sensors), processes and analyzes the acquired data in real-time, and directly governs settings of aVNS. We show in-lab that aVNS stimulation can be arbitrarily synchronized with respiratory and cardiac phases (as derived from respiration belt, electrocardiography and/or photo plethysmography) while mimicking baroreceptor-related afferent input along the vagus nerve projecting into the brain. Our designed system identified > 90% of all respiratory and cardiac cycles and activated stimulation at the target point with a precision of ± 100 ms despite the intrinsic respiratory and heart rate variability reducing the predictability. The developed system offers a solid basis for future clinical research into closed-loop aVNS in favour of personalized therapy.

Indexed as

Auricular vagus nerveClosed-loop controlHardwareOptimizationVagus nerve stimulation

Identifiers

PMID35571976
PMCPMC9087171
OpenAlexW4229456712

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.