Evidence map›Paper›PMID 40792294›Full record

ArticleData in brief2025

MSCardio seismocardiography dataset: Initial insights from remote monitoring of cardiovascular-induced chest vibrations via smartphones.

Amirtahà Taebi, Mohammad Muntasir Rahman

Abstract read
In one paragraph

Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Amirtahà TaebiDepartment of Bioengineering, Lehigh University, 7 Asa Drive, Suite 205, Bethlehem, PA 18015, USA.
Mohammad Muntasir RahmanDepartment of Bioengineering, Lehigh University, 7 Asa Drive, Suite 205, Bethlehem, PA 18015, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Mississippi State Remote Cardiovascular Monitoring (MSCardio) Study leverages smartphones to remotely collect seismocardiography (SCG) and gyrocardiography data from participants. The study employs an app that uses embedded sensors to record multi-dimensional vibrations, along with self-reported lifestyle and health data. Metadata is also captured to provide contextual information for analysis. This paper outlines the progress made during the first 250 days of the study, including the methodology, data collection process, and preliminary findings. Additionally, the SCG dataset collected during this period is publicly shared to support further research. These results highlight the potential of smartphone-based systems for scalable and accessible cardiovascular health monitoring.

Indexed as

Cardiovascular monitoringmHealthMSCardio studyRemote monitoringSCG datasetSeismocardiography

Identifiers

PMID40792294
PMCPMC12336662

What OpenQuestion holds

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LicenceCC BY-NC
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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.