Evidence map›Paper›PMID 38610349›Full record

ArticleSensors (Basel, Switzerland)2024

Smartphone-Derived Seismocardiography: Robust Approach for Accurate Cardiac Energy Assessment in Patients with Various Cardiovascular Conditions.

Amin Hossein, Elza Abdessater, Paniz Balali, Elliot Cosneau, Damien Gorlier, Jérémy Rabineau, Alexandre Almorad, Vitalie Faoro, Philippe van de Borne

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

9 authors at 2 institutions in 1 country.

Amin HosseinLaboratory of Physics and Physiology, Université Libre de Bruxelles, 1050 Brussels, Belgium.ORCID 0000-0002-5122-9927
Elza AbdessaterDepartment of Cardiology, Erasme Hospital, Université Libre de Bruxelles, 1050 Bruxelles, Belgium.
Paniz BalaliLaboratory of Physics and Physiology, Université Libre de Bruxelles, 1050 Brussels, Belgium.ORCID 0000-0001-6336-167X
Elliot CosneauHeartkinetics S.A., 6041 Charleroi, Belgium.
Damien GorlierHeartkinetics S.A., 6041 Charleroi, Belgium.
Jérémy RabineauLaboratory of Physics and Physiology, Université Libre de Bruxelles, 1050 Brussels, Belgium.ORCID 0000-0002-7946-075X
Alexandre AlmoradHeart Rhythm Management Centre, Postgraduate Program in Cardiac Electrophysiology and Pacing, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, 1050 Brussels, Belgium.
Vitalie FaoroCardio-Pulmonary Exercise Laboratory, Faculty of Motor Sciences, Université Libre de Bruxelles, Erasme Campus, Anderlecht, 1070 Brussels, Belgium.
Philippe van de BorneDepartment of Cardiology, Erasme Hospital, Université Libre de Bruxelles, 1050 Bruxelles, Belgium.
Université Libre de Bruxelles · BEVrije Universiteit Brussel · BE

Funding

CSRD VA 1
6 · The paper itself

Abstract

Seismocardiography (SCG), a method for measuring heart-induced chest vibrations, is gaining attention as a non-invasive, accessible, and cost-effective approach for cardiac pathologies, diagnosis, and monitoring. This study explores the integration of SCG acquired through smartphone technology by assessing the accuracy of metrics derived from smartphone recordings and their consistency when performed by patients. Therefore, we assessed smartphone-derived SCG's reliability in computing median kinetic energy parameters per record in 220 patients with various cardiovascular conditions. The study involved three key procedures: (1) simultaneous measurements of a validated hardware device and a commercial smartphone; (2) consecutive smartphone recordings performed by both clinicians and patients; (3) patients' self-conducted home recordings over three months. Our findings indicate a moderate-to-high reliability of smartphone-acquired SCG metrics compared to those obtained from a validated device, with intraclass correlation (ICC) > 0.77. The reliability of patient-acquired SCG metrics was high (ICC > 0.83). Within the cohort, 138 patients had smartphones that met the compatibility criteria for the study, with an observed at-home compliance rate of 41.4%. This research validates the potential of smartphone-derived SCG acquisition in providing repeatable SCG metrics in telemedicine, thus laying a foundation for future studies to enhance the precision of at-home cardiac data acquisition.

Indexed as

Cardiovascular DiseasesSmartphoneBenchmarkingHumansPhysical PhenomenaReproducibility of Resultsballistocardiographycardiac kinetic energycardiovascular screeninge-healthsmartphonetelemedicine

Identifiers

PMID38610349
PMCPMC11014030
OpenAlexW4393219436

What OpenQuestion holds

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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 OpenQuestion graph.