Evidence map›Paper›PMID 38200937›Full record

ArticleHealthcare (Basel, Switzerland)2023

Advances in Non-Invasive Neuromodulation: Designing Closed-Loop Devices for Respiratory-Controlled Transcutaneous Vagus Nerve Stimulation.

Gabriella Maria de Faria, Eugênia Gonzales Lopes, Eleonora Tobaldini, Nicola Montano, Tatiana Sousa Cunha, Karina Rabello Casali, Henrique Alves de Amorim

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 21% 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.

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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Gabriella Maria de FariaInstitute of Science and Technology, Universidade Federal de São Paulo, São José dos Campos 12231-280, Brazil.ORCID 0000-0001-8919-5104
Eugênia Gonzales LopesInstitute of Science and Technology, Universidade Federal de São Paulo, São José dos Campos 12231-280, Brazil.
Eleonora TobaldiniDepartment of Clinical Sciences and Community Health, Università degli Studi di Milano, 20122 Milan, Italy.
Nicola MontanoDepartment of Clinical Sciences and Community Health, Università degli Studi di Milano, 20122 Milan, Italy.ORCID 0000-0001-9206-0075
Tatiana Sousa CunhaInstitute of Science and Technology, Universidade Federal de São Paulo, São José dos Campos 12231-280, Brazil.ORCID 0000-0001-9070-1414
Karina Rabello CasaliInstitute of Science and Technology, Universidade Federal de São Paulo, São José dos Campos 12231-280, Brazil.
Henrique Alves de AmorimInstitute of Science and Technology, Universidade Federal de São Paulo, São José dos Campos 12231-280, Brazil.
Universidade Federal de São Paulo · BRUniversity of Milan · IT

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior Finance Code 001National Council for Scientific and Technological Development (CNPq) 434446/2018-1
6 · The paper itself

Abstract

Studies suggest non-invasive transcutaneous auricular vagus nerve stimulation (taVNS) as a potential therapeutic option for various pathological conditions, such as epilepsy and depression. Exhalation-controlled taVNS, which synchronizes stimulation with internal body rhythms, holds promise for enhanced neuromodulation, but there is no closed-loop system in the literature capable of performing such integration in real time. In this context, the objective was to develop real-time signal processing techniques and an integrated closed-loop device with sensors to acquire physiological data. After a conditioning stage, the signal is processed and delivers synchronized electrical stimulation during the patient's expiratory phase. Additional modules were designed for processing, software-controlled selectors, remote and autonomous operation, improved analysis, and graphical visualization. The signal processing method effectively extracted respiratory cycles and successfully attenuated signal noise. Heart rate variability was assessed in real time, using linear statistical evaluation. The prototype feedback stimulator device was physically constructed. Respiratory peak detection achieved an accuracy of 90%, and the real-time processing resulted in a small delay of up to 150 ms in the detection of the expiratory phase. Thus, preliminary results show promising accuracy, indicating the need for additional tests to optimize real-time processing and the application of the prototype in clinical studies.

Indexed as

closed-loopneuromodulationNode-REDtVNS

Identifiers

PMID38200937
PMCPMC10778699
OpenAlexW4390114867

What Socratic 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 Socratic graph.