A wavelet-based VCG QRS loop boundaries and isoelectric coordinates detector

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10251912" target="_blank" >RIV/61989100:27240/22:10251912 - isvavai.cz</a>

Alternative codes found

RIV/61988987:17110/22:A2402O00

Result on the web

<a href="https://www.frontiersin.org/articles/10.3389/fphys.2022.941827/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fphys.2022.941827/full</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3389/fphys.2022.941827" target="_blank" >10.3389/fphys.2022.941827</a>

Result language

angličtina

Original language name

A wavelet-based VCG QRS loop boundaries and isoelectric coordinates detector

Original language description

This paper deals with a wavelet-based algorithm for automatic detection of isoelectric coordinates of individual QRS loops of VCG record. Fiducial time instants of QRS peak, QRS onset, QRS end, and isoelectric PQ interval are evaluated on three VCG leads (X, Y, Z) together with global QRS boundaries of a record to spatiotemporal QRS loops alignment. The algorithm was developed and optimized on 161 VCG records of PTB diagnostic database of healthy control subjects (HC), patients with myocardial infarction (MI) and patients with bundle branch block (BBB) and validated on CSE multilead measurement database of 124 records of the same diagnostic groups. The QRS peak was evaluated correctly for all of 1,467 beats. QRS onset, QRS end were detected with standard deviation of 5,5 ms and 7,8 ms respectively from the referee annotation. The isoelectric 20 ms length PQ interval window was detected correctly between the P end and QRS onset for all the cases. The proposed algorithm complies the (2 sigma(CSE)) limits for the QRS onset and QRS end detection and provides comparable or better results to other well-known algorithms. The algorithm evaluates well a wide QRS based on automated wavelet scale switching. The designed multi-lead approach QRS loop detector accomplishes diagnostic VCG processing, aligned QRS loops imaging and it is suitable for beat-to-beat variability assessment and further automatic VCG classification.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20201 - Electrical and electronic engineering

Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Frontiers in Physiology

ISSN

1664-042X

e-ISSN

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Volume of the periodical

13

Issue of the periodical within the volume

13/2022

Country of publishing house

CH - SWITZERLAND

Number of pages

14

Pages from-to

nestrankovano

UT code for WoS article

000880309200001

EID of the result in the Scopus database

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