Evidence map›Paper›PMID 30735985›Full record

ArticleIEEE transactions on bio-medical engineering2019

Cardiovascular Function and Ballistocardiogram: A Relationship Interpreted via Mathematical Modeling.

Giovanna Guidoboni, Lorenzo Sala, Moein Enayati, Riccardo Sacco, Marcela Szopos, James M Keller, Mihail Popescu, Laurel Despins, Virginia H Huxley, Marjorie Skubic

Erratum issuedAbstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Giovanna Guidoboni
Lorenzo Sala
Moein Enayati
Riccardo Sacco
Marcela Szopos
James M Keller
Mihail Popescu
Laurel Despins
Virginia H Huxley
Marjorie Skubic

Funding

Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
Insulin as a Regulator of Microvascular ExchangeR01DK095501 · NIDDK · UNIVERSITY OF MISSOURI-COLUMBIA · PI HUXLEY, VIRGINIA H · 2013 to 2016
$1.5M
NIDDK NIH HHS P30 DK092950NIDDK NIH HHS R01 DK095501
6 · The paper itself

Abstract

objectiveTo develop quantitative methods for the clinical interpretation of the ballistocardiogram (BCG).

methodsA closed-loop mathematical model of the cardiovascular system is proposed to theoretically simulate the mechanisms generating the BCG signal, which is then compared with the signal acquired via accelerometry on a suspended bed.

resultsSimulated arterial pressure waveforms and ventricular functions are in good qualitative and quantitative agreement with those reported in the clinical literature. Simulated BCG signals exhibit the typical I, J, K, L, M, and N peaks and show good qualitative and quantitative agreement with experimental measurements. Simulated BCG signals associated with reduced contractility and increased stiffness of the left ventricle exhibit different changes that are characteristic of the specific pathological condition.

conclusionThe proposed closed-loop model captures the predominant features of BCG signals and can predict pathological changes on the basis of fundamental mechanisms in cardiovascular physiology. SIGNIFICANCE: This paper provides a quantitative framework for the clinical interpretation of BCG signals and the optimization of BCG sensing devices. The present paper considers an average human body and can potentially be extended to include variability among individuals.

Indexed as

BedsCardiovascular Physiological PhenomenaAccelerometryAlgorithmsBallistocardiographyEquipment DesignHumansModels, TheoreticalSignal Processing, Computer-AssistedVentricular Function

Identifiers

PMID30735985
PMCPMC6752973

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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.