Evidence map›Paper›PMID 31861123›Full record

ArticleSensors (Basel, Switzerland)2019

Multi-Site Photoplethysmographic and Electrocardiographic System for Arterial Stiffness and Cardiovascular Status Assessment.

David Perpetuini, Antonio Maria Chiarelli, Lidia Maddiona, Sergio Rinella, Francesco Bianco, Valentina Bucciarelli, Sabina Gallina, Vincenzo Perciavalle, Vincenzo Vinciguerra, Arcangelo Merla and 1 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 23 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

11 authors at 4 institutions in 1 country.

David PerpetuiniDepartment of Neuroscience and Imaging, Institute for Advanced Biomedical Technologies, University G. D'Annunzio of Chieti-Pescara, Via Luigi Polacchi 13, 66100 Chieti, Italy.ORCID 0000-0003-1903-0501
Antonio Maria ChiarelliDepartment of Neuroscience and Imaging, Institute for Advanced Biomedical Technologies, University G. D'Annunzio of Chieti-Pescara, Via Luigi Polacchi 13, 66100 Chieti, Italy.ORCID 0000-0002-5347-8417
Lidia MaddionaSTMicroelectronics, ADG R&D, Stradale Primosole 50, 95121 Catania, Italy.
Sergio RinellaPhysiology Section, Department of Biomedical and Biotechnological Sciences, University of Catania, Via Santa Sofia 97, 95123 Catania, Italy.ORCID 0000-0002-9368-7088
Francesco BiancoInstitute of Cardiology, University G. D'Annunzio of Chieti-Pescara, Via Dei Vestini 5, 66100 Chieti, Italy.ORCID 0000-0001-9785-3402
Valentina BucciarelliInstitute of Cardiology, University G. D'Annunzio of Chieti-Pescara, Via Dei Vestini 5, 66100 Chieti, Italy.
Sabina GallinaDepartment of Neuroscience and Imaging, Institute for Advanced Biomedical Technologies, University G. D'Annunzio of Chieti-Pescara, Via Luigi Polacchi 13, 66100 Chieti, Italy.
Vincenzo PerciavallePhysiology Section, Department of Biomedical and Biotechnological Sciences, University of Catania, Via Santa Sofia 97, 95123 Catania, Italy.ORCID 0000-0003-0614-2969
Vincenzo VinciguerraSTMicroelectronics, ADG R&D, Stradale Primosole 50, 95121 Catania, Italy.ORCID 0000-0003-2188-4178
Arcangelo MerlaDepartment of Neuroscience and Imaging, Institute for Advanced Biomedical Technologies, University G. D'Annunzio of Chieti-Pescara, Via Luigi Polacchi 13, 66100 Chieti, Italy.
Giorgio FallicaSTMicroelectronics, ADG R&D, Stradale Primosole 50, 95121 Catania, Italy.
University of Chieti-Pescara · ITSTMicroelectronics (Italy) · ITUniversità degli Studi di Enna Kore · ITUniversity of Catania · IT

Funding

H2020, ECSEL-04-2015-Smart Health, Advancing Smart Optical Imaging and Sensing for Health (ASTONISH). 692470
6 · The paper itself

Abstract

The development and validation of a system for multi-site photoplethysmography (PPG) and electrocardiography (ECG) is presented. The system could acquire signals from 8 PPG probes and 10 ECG leads. Each PPG probe was constituted of a light-emitting diode (LED) source at a wavelength of 940 nm and a silicon photomultiplier (SiPM) detector, located in a back-reflection recording configuration. In order to ensure proper optode-to-skin coupling, the probe was equipped with insufflating cuffs. The high number of PPG probes allowed us to simultaneously acquire signals from multiple body locations. The ECG provided a reference for single-pulse PPG evaluation and averaging, allowing the extraction of indices of cardiovascular status with a high signal-to-noise ratio. Firstly, the system was characterized on optical phantoms. Furthermore, in vivo validation was performed by estimating the brachial-ankle pulse wave velocity (baPWV), a metric associated with cardiovascular status. The validation was performed on healthy volunteers to assess the baPWV intra- and extra-operator repeatability and its association with age. Finally, the baPWV, evaluated via the developed instrumentation, was compared to that estimated with a commercial system used in clinical practice (Enverdis Vascular Explorer). The validation demonstrated the system's reliability and its effectiveness in assessing the cardiovascular status in arterial ageing.

Indexed as

ElectrocardiographyPhotoplethysmographyAdultAgedAged, 80 and overAnkle Brachial IndexArteriesCardiovascular SystemHumansMiddle AgedPulse Wave AnalysisVascular StiffnessYoung Adultcardiovascular statuselectrocardiography (ECG)photoplethysmography (PPG)pulse wave velocity (PWV)silicon photomultipliers (SiPMs)

Identifiers

PMID31861123
PMCPMC6960562
OpenAlexW2995492892

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.