Evidence map›Paper›PMID 40363254›Full record

ArticleSensors (Basel, Switzerland)2025

Prototype of a Multimodal and Multichannel Electro-Physiological and General-Purpose Signal Capture System: Evaluation in Sleep-Research-like Scenario.

Pablo Cevallos-Larrea, Leimer Guambaña-Calle, Danilo Andrés Molina-Vidal, Mathews Castillo-Guerrero, Aluizio d'Affonsêca Netto, Carlos Julio Tierra-Criollo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

6 authors.

Pablo Cevallos-LarreaBiomedical Engineering Research Group-GIIB, Universidad Politécnica Salesiana, Cuenca 010102, Ecuador.ORCID 0000-0002-9530-9662
Leimer Guambaña-CalleBiomedical Engineering Research Group-GIIB, Universidad Politécnica Salesiana, Cuenca 010102, Ecuador.ORCID 0009-0002-8034-2790
Danilo Andrés Molina-VidalBiomedical Engineering Program, Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering (Coppe), Federal University of Rio de Janeiro, Rio de Janeiro 21941-914, Brazil.ORCID 0000-0003-4420-4585
Mathews Castillo-GuerreroBiomedical Engineering Program, Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering (Coppe), Federal University of Rio de Janeiro, Rio de Janeiro 21941-914, Brazil.ORCID 0000-0002-6690-4710
Aluizio d'Affonsêca NettoBiomedical Engineering Program, Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering (Coppe), Federal University of Rio de Janeiro, Rio de Janeiro 21941-914, Brazil.ORCID 0009-0003-3679-8499
Carlos Julio Tierra-CriolloBiomedical Engineering Program, Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering (Coppe), Federal University of Rio de Janeiro, Rio de Janeiro 21941-914, Brazil.ORCID 0000-0003-4880-9186

Funding

Financiadora de Estudos e Projetos Nº 01.24.0122.00Politecnica Salesiana University Research project: "Plataforma de Adquisición Multicanal de Señales Electrofisiológicas y Estimulación Multimodal-Fase II", Res: N° 048-002-2024-05-21
6 · The paper itself

Abstract

The simultaneous analysis of electrophysiological signals from various physiological systems, such as the brain, skeletal muscles, and cardiac muscles, has become increasingly necessary in both clinical and research settings. However, acquiring multiple modalities of electrophysiological data often necessitates the use of diverse, specialized technological tools, which can complicate the establishment of a comprehensive multimodal experimental setup. This paper introduces a prototype system, named the Multimodal-Multichannel Acquisition Module-MADQ, designed for the simultaneous acquisition of multimodal and multichannel electrophysiological and general-purpose signals. The MADQ comprises three distinct capturing blocks, each equipped with separate reference circuits, supporting a total of up to 40 electrophysiological input channels, alongside 4 channels of analog input and 4 channels of digital input signal. The system is capable of sampling frequencies up to 16 kHz. Key features of the MADQ include individually configurable bipolar recording, lead-off detection capability, and real-time online filtering. The system's functional performance was characterized through metrics such as Input-Referred Noise (IRN), Noise-Free Bits (NFB), and Effective Number of Bits (ENOB) across varying gain and sampling frequencies. Preliminary experiments, conducted in a setup emulating a sleep study with auditory evoked potential detection, demonstrate the system's potential for integration into multimodal experimental scenarios.

Indexed as

Signal Processing, Computer-AssistedSleepBrainElectroencephalographyElectrophysiological PhenomenaEvoked Potentials, AuditoryHumansADS1299multichannel biomedical signal acquisition systemmultimodal physiological signals

Identifiers

PMID40363254
PMCPMC12074310

What OpenQuestion holds

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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.