Evidence map›Paper›PMID 32438753›Full record

ArticleDiagnostics (Basel, Switzerland)2020

Cardio-Diagnostic Assisting Computer System.

Galya Georgieva-Tsaneva, Evgeniya Gospodinova, Mitko Gospodinov, Krasimir Cheshmedzhiev

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-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

5 citing papers in PubMed, 8 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

4 authors at 1 institution in 1 country.

Galya Georgieva-TsanevaInstitute of Robotics, Bulgarian Academy of Science, 1113 Sofia, Bulgaria.ORCID 0000-0001-8017-5537
Evgeniya GospodinovaInstitute of Robotics, Bulgarian Academy of Science, 1113 Sofia, Bulgaria.
Mitko GospodinovInstitute of Robotics, Bulgarian Academy of Science, 1113 Sofia, Bulgaria.
Krasimir CheshmedzhievInstitute of Robotics, Bulgarian Academy of Science, 1113 Sofia, Bulgaria.
Bulgarian Academy of Sciences · BG

Funding

Bulgarian National Science Fund КP-06-N22/5, 07.12.2018
6 · The paper itself

Abstract

The mathematical analysis and the assessment of heart rate variability (HRV) based on computer systems can assist the diagnostic process with determining the cardiac status of patients. The new cardio-diagnostic assisting computer system created uses the classic Time-Domain, Frequency-Domain, and Time-Frequency analysis indices, as well as the nonlinear methods (Poincaré plot, Recurrence plot, Hurst R/S method, Detrended Fluctuation Analysis (DFA), Multi-Fractal DFA, Approximate Entropy and Sample Entropy). To test the feasibility of the software developed, 24-hour Holter recordings of four groups of people were analysed: healthy subjects and patients with arrhythmia, heart failure and syncope. Time-Domain (SDNN < 50 ms, SDANN < 100 ms, RMSSD < 17 ms) and Frequency-Domain (the spectrum of HRV in the LF < 550 ms

Indexed as

arrhythmiacardiovascular diseasescomputer systemheart failureheart rate variabilityHolter recordsmathematical analysissyncope

Identifiers

PMID32438753
PMCPMC7277997
OpenAlexW3027015736

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.