Evidence map›Paper›PMID 32668584›Full record

ArticleSensors (Basel, Switzerland)2020

Forcecardiography: A Novel Technique to Measure Heart Mechanical Vibrations onto the Chest Wall.

Emilio Andreozzi, Antonio Fratini, Daniele Esposito, Ganesh Naik, Caitlin Polley, Gaetano D Gargiulo, Paolo Bifulco

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

23 citing papers in PubMed, 44 citations in OpenAlex.

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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

7 authors at 3 institutions in 3 countries.

Emilio AndreozziDepartment of Electrical Engineering and Information Technologies, University of Naples Federico II, Via Claudio, 21 80125 Napoli, Italy.ORCID 0000-0003-4829-3941
Antonio FratiniBiomedical Engineering, School of Life and Health Sciences, Aston University, Birmingham B4 7ET, UK.ORCID 0000-0001-8894-461X
Daniele EspositoDepartment of Electrical Engineering and Information Technologies, University of Naples Federico II, Via Claudio, 21 80125 Napoli, Italy.ORCID 0000-0003-0716-8431
Ganesh NaikThe MARCS Institute, Western Sydney University, Penrith NSW 2751, Australia.ORCID 0000-0003-1790-9838
Caitlin PolleySchool of Computing, Engineering, and Mathematics, Western Sydney University, Penrith NSW 2747, Australia.ORCID 0000-0002-1918-0393
Gaetano D GargiuloThe MARCS Institute, 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 Napoli, Italy.ORCID 0000-0002-9585-971X
Istituti Clinici Scientifici Maugeri · ITWestern Sydney University · AUAston University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents forcecardiography (FCG), a novel technique to measure local, cardiac-induced vibrations onto the chest wall. Since the 19th century, several techniques have been proposed to detect the mechanical vibrations caused by cardiovascular activity, the great part of which was abandoned due to the cumbersome instrumentation involved. The recent availability of unobtrusive sensors rejuvenated the research field with the most currently established technique being seismocardiography (SCG). SCG is performed by placing accelerometers onto the subject's chest and provides information on major events of the cardiac cycle. The proposed FCG measures the cardiac-induced vibrations via force sensors placed onto the subject's chest and provides signals with a richer informational content as compared to SCG. The two techniques were compared by analysing simultaneous recordings acquired by means of a force sensor, an accelerometer and an electrocardiograph (ECG). The force sensor and the accelerometer were rigidly fixed to each other and fastened onto the xiphoid process with a belt. The high-frequency (HF) components of FCG and SCG were highly comparable (r > 0.95) although lagged. The lag was estimated by cross-correlation and resulted in about tens of milliseconds. An additional, large, low-frequency (LF) component, associated with ventricular volume variations, was observed in FCG, while not being visible in SCG. The encouraging results of this feasibility study suggest that FCG is not only able to acquire similar information as SCG, but it also provides additional information on ventricular contraction. Further analyses are foreseen to confirm the advantages of FCG as a technique to improve the scope and significance of pervasive cardiac monitoring.

Indexed as

Thoracic WallVibrationAccelerometryElectrocardiographyHeartHumansMonitoring, Physiologiccardiac functioncardiac monitoringforce-sensitive resistornon-invasive sensorseismocardiography

Identifiers

PMID32668584
PMCPMC7411775
OpenAlexW3040949107

What OpenQuestion holds

Textmetadata
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.