Evidence map›Paper›PMID 31091280›Full record

ArticlePloS one2019

The characterization of the transit through the anaerobic threshold based on relationships between RR and QRS cardiac intervals.

Loreta Saunoriene, Vaiva Siauciunaite, Alfonsas Vainoras, Virginija Bertasiute, Zenonas Navickas, Minvydas Ragulskis

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

6 authors.

Loreta SaunorieneCenter for Nonlinear Systems, Kaunas University of Technology, Studentu 50-146, Kaunas LT-51368, Lithuania.
Vaiva SiauciunaiteCenter for Nonlinear Systems, Kaunas University of Technology, Studentu 50-146, Kaunas LT-51368, Lithuania.
Alfonsas VainorasInstitute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 17, Kaunas LT-50161, Lithuania.
Virginija BertasiuteInstitute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 17, Kaunas LT-50161, Lithuania.
Zenonas NavickasCenter for Nonlinear Systems, Kaunas University of Technology, Studentu 50-146, Kaunas LT-51368, Lithuania.
Minvydas RagulskisCenter for Nonlinear Systems, Kaunas University of Technology, Studentu 50-146, Kaunas LT-51368, Lithuania.ORCID 0000-0002-3348-9717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper aims to develop a novel computational technique for the detection of the transit through the anaerobic threshold. This technique uses only cardiac intervals derived from the electrocardiogram and is based on algebraic relationships between RR and QRS intervals. Electrocardiograms are measured during the load and the recovery processes. Algebraic relationships between cardiac intervals are used not only to identify the anaerobic threshold but also to characterise individual features of the person during the transit through the threshold. The ratio between carbon dioxide and oxygen in the exhaled air is used to validate the results. The algebraic relationship between cardiac intervals serves as a stand-alone indicator for both the determination of the anaerobic threshold and the characterization of the performance of the person during the load and the recovery processes.

Indexed as

AlgorithmsAdultAnaerobic ThresholdCarbon DioxideElectrocardiographyExercise TestExhalationHealthy VolunteersHeartHeart RateHumansMaleMiddle AgedOxygenCarbon DioxideOxygen

Identifiers

PMID31091280
PMCPMC6519807

What OpenQuestion holds

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LicenceCC BY
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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.