Evidence map›Paper›PMID 40769990›Full record

ArticleScientific data2025

A Forcecardiography dataset with simultaneous SCG, Heart Sounds, ECG, and Respiratory signals.

Salvatore Parlato, Jessica Centracchio, Eliana Cinotti, Maria Virginia Manzi, Grazia Canciello, Maria Prastaro, Maria Lembo, Benjamin M Brandwood, Gaetano D Gargiulo, Paolo Bifulco and 3 more

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 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. Wearable Flexible Sensors for Cardiovascular Disease Monitoring.Advanced materials (Deerfield Beach, Fla.) · 2026
    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

13 authors.

Salvatore ParlatoDepartment of Electrical Engineering and Information Technologies, University of Naples Federico II, Via Claudio, 21, 80125, Naples, Italy.
Jessica CentracchioDepartment of Electrical Engineering and Information Technologies, University of Naples Federico II, Via Claudio, 21, 80125, Naples, Italy. jessica.centracchio@unina.it.ORCID 0000-0003-3422-8727
Eliana CinottiDepartment of Electrical Engineering and Information Technologies, University of Naples Federico II, Via Claudio, 21, 80125, Naples, Italy.
Maria Virginia ManziDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Via Sergio Pansini, 5, 80131, Naples, Italy.
Grazia CancielloDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Via Sergio Pansini, 5, 80131, Naples, Italy.
Maria PrastaroDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Via Sergio Pansini, 5, 80131, Naples, Italy.
Maria LemboDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Via Sergio Pansini, 5, 80131, Naples, Italy.
Benjamin M BrandwoodSchool of Engineering, Design and Built Environment, Western Sydney University, Penrith, NSW 2751, Australia.
Gaetano D GargiuloSchool of Engineering, Design and Built Environment, Western Sydney University, Penrith, NSW 2751, Australia.ORCID 0000-0002-2616-2804
Paolo BifulcoDepartment of Electrical Engineering and Information Technologies, University of Naples Federico II, Via Claudio, 21, 80125, Naples, Italy.
Giovanni EspositoDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Via Sergio Pansini, 5, 80131, Naples, Italy.
Raffaele IzzoDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Via Sergio Pansini, 5, 80131, Naples, Italy.
Emilio AndreozziDepartment of Electrical Engineering and Information Technologies, University of Naples Federico II, Via Claudio, 21, 80125, Naples, Italy.ORCID 0000-0003-4829-3941

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

FOSTER is the first ever publicly available dataset of forcecardiography (FCG) signals with simultaneous recordings of conventional seismocardiography (SCG), phonocardiography (PCG), electrocardiography (ECG), and respiratory signals. The dataset contains recordings from 40 participants (20 males and 20 females) and aims to foster and facilitate research on non-invasive cardio-respiratory monitoring using mechanical sensors. All signals were acquired simultaneously to ensure precise temporal alignment for accurate analysis. Each recording lasts about 7 minutes and includes both long phases of quiet breathing and short phases of inspiratory and expiratory apneas. The open accessibility of the FOSTER dataset aims to facilitate advancements in unobtrusive cardio-respiratory patient monitoring, support the development of novel diagnostic tools and algorithms to detect specific events of the cardiac and respiratory cycles, and help researchers to explore the potential of combined electrical and mechanical cardiac monitoring.

Indexed as

ElectrocardiographyHeart SoundsRespirationAdultFemaleHumansMalePhonocardiography

Identifiers

PMID40769990
PMCPMC12328590

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.