Evidence map›Paper›PMID 40835611›Full record

ArticleScientific data2025

Synchronous post-exercise electrocardiogram, phonocardiogram, photoplethysmograms and seismocardiogram.

Aleksandar Lazović, Vladimir Atanasoski, Predrag Tadić, Natalija Djordjević, Maša Tiosavljević, Marija D Ivanović, Ljupčo Hadžievski, Arsen Ristić, Vladan Vukčević, Jovana Petrović

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Aleksandar LazovićVinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Mike Petrovića Alasa 12-14, Belgrade, 11000, Serbia.
Vladimir AtanasoskiVinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Mike Petrovića Alasa 12-14, Belgrade, 11000, Serbia.
Predrag TadićSchool of Electronic Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, Belgrade, 11000, Serbia.
Natalija DjordjevićSchool of Electronic Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, Belgrade, 11000, Serbia.
Maša TiosavljevićSchool of Electronic Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, Belgrade, 11000, Serbia.
Marija D IvanovićSchool of Electronic Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, Belgrade, 11000, Serbia.
Ljupčo HadžievskiVinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Mike Petrovića Alasa 12-14, Belgrade, 11000, Serbia.
Arsen RistićDepartment of Cardiology, University Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Dr. Subotića 8, Belgrade, 11000, Serbia.
Vladan VukčevićDepartment of Cardiology, University Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Dr. Subotića 8, Belgrade, 11000, Serbia.
Jovana PetrovićVinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Mike Petrovića Alasa 12-14, Belgrade, 11000, Serbia. jovanap@vin.bg.ac.rs.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noninvasive electromechanical assessment of cardiovascular function is emerging as a cost-effective method for diagnosis of heart failure and arterial diseases, and for telemedical monitoring of blood pressure and neural disorders. It encompasses simultaneous acquisition of electrocardiographic, phonocardiographic, arterial-pulse, chest-vibration, bioimpedance and other waveforms. The phases and amplitudes of these waveforms are used for construction of disease biomarkers. The procedure includes corrections of biomarker values to daily variation and excursions of heart rate. However, datasets that enable a systematic study of the effects of heart rate on mechanical waveforms are currently not available. Here, we describe SensSmartTech - the first dataset of multiparametric cardiovascular signals systematically measured in a large span of heart rates from 52 to 182 beats per minute, achieved by running on a treadmill. Besides providing the data for biomarker correction, the dataset enables new insights into the cardio-respiratory and electro-mechanical couplings in the cardiovascular system.

Indexed as

ElectrocardiographyExercisePhotoplethysmographyExercise TestHeart RateHumansPhonocardiography

Identifiers

PMID40835611
PMCPMC12368122

What OpenQuestion holds

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Registered trials

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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.