Evidence map›Paper›PMID 41302773›Full record

ArticleMicromachines2025

Development and Validation of a Multimodal Wearable Belt for Abdominal Biosignal Monitoring with Application to Irritable Bowel Syndrome.

Amir Mohammad Karimi Forood, Sibi M Pandian, Riley Q McNaboe, Thuany De Carvalho Lachos, Daniel Octavio Lantigua, Hugo F Posada-Quintero

Abstract read
In one paragraph

Article in Micromachines, 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.

Amir Mohammad Karimi ForoodDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.ORCID 0009-0006-4489-5960
Sibi M PandianDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.ORCID 0009-0000-2640-655X
Riley Q McNaboeDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.ORCID 0000-0002-2211-7475
Thuany De Carvalho LachosDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.
Daniel Octavio LantiguaDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.
Hugo F Posada-QuinteroDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.ORCID 0000-0003-4514-4772

Funding

Objective Integrated Multimodal Electrophysiological Index for the Quantification of Visceral PainR01DK138248 · NIDDK · UNIVERSITY OF CONNECTICUT STORRS · PI Hugo Fernando Posada-Quintero · 2024 to 2026
$1.9M
NIDDK NIH HHS R01 DK138248NIDDK NIH HHS R01DK138248
6 · The paper itself

Abstract

Visceral pain in Irritable Bowel Syndrome (IBS) is difficult to evaluate objectively due to its complex physiological nature and lack of reliable biomarkers. Given the complexity of IBS, a multimodal physiological monitoring approach, combining electrodermal activity (EDA), electrocardiogram (ECG), and surface electromyography (sEMG), offers a promising approach to capture the autonomic and muscular responses linked to visceral pain. However, no existing wearable device supports simultaneous EDA, ECG, and sEMG acquisition from the abdomen in a format suitable for long-term, real-world use. This study presents the development and validation of a novel wearable belt for concurrent ECG, sEMG, and EDA monitoring, with EDA measured at both the torso and wrist. The system was built using modified BITalino platforms with custom-fabricated reusable electrodes and Bluetooth connectivity for real-time smartphone display. Signal quality was validated against laboratory-grade systems in 20 healthy participants during a four-stage protocol involving cognitive, orthostatic, muscular, and combined stress tasks. Time and frequency-domain analyses showed high correlations and comparable spectral features across all modalities. The belt maintained stable skin contact even during movement-intensive tasks. By enabling anatomically targeted, multimodal data acquisition, this wearable system supports real-world visceral pain assessment in IBS and is ready for deployment in ambulatory and home-based monitoring scenarios.

Indexed as

electrocardiogramelectrodermal activityelectromyographyirritable bowel syndromesignal processingwearable biosignal acquisition

Identifiers

PMID41302773
PMCPMC12654468

What OpenQuestion holds

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LicenceCC BY
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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.