Marina Ronzhina
Overview
Explore the profile of Marina Ronzhina including associated specialties, affiliations and a list of published articles.
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Articles
11
Citations
89
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Recent Articles
1.
Saclova L, Nemcova A, Smisek R, Smital L, Vitek M, Ronzhina M
Physiol Meas
. 2022 Sep;
43(10).
PMID: 36137552
The aim of this study is to create a database for the development, evaluation and objective comparison of algorithms for P wave detection in ECG signals.rnoniversity ofechnology ECG Signalataase with...
2.
Stracina T, Ronzhina M, Redina R, Novakova M
Front Physiol
. 2022 May;
13:867033.
PMID: 35547589
Cardiovascular system and its functions under both physiological and pathophysiological conditions have been studied for centuries. One of the most important steps in the cardiovascular research was the possibility to...
3.
Saclova L, Nemcova A, Smisek R, Smital L, Vitek M, Ronzhina M
Sci Rep
. 2022 Apr;
12(1):6589.
PMID: 35449228
Accurate automated detection of P waves in ECG allows to provide fast correct diagnosis of various cardiac arrhythmias and select suitable strategy for patients' treatment. However, P waves detection is...
4.
Ronzhina M, Stracina T, Lacinova L, Ondacova K, Pavlovicova M, Marsanova L, et al.
Front Physiol
. 2021 Jun;
12:667065.
PMID: 34177617
Aims: Although voltage-sensitive dye di-4-ANEPPS is a common tool for mapping cardiac electrical activity, reported effects on electrophysiological parameters are rather. The main goals of the study were to reveal...
5.
Chlibkova D, Ronzhina M, Nikolaidis P, Rosemann T, Knechtle B
Front Physiol
. 2018 Sep;
9:1272.
PMID: 30246809
Excessive or inappropriate non-steroidal anti-inflammatory drug (NSAID) use during ultra-endurance events could cause potential risk to athletes' health. Reports on NSAID consumption in mountain bikers or ultra-mountain bikers are scarce....
6.
Smisek R, Hejc J, Ronzhina M, Nemcova A, Marsanova L, Kolarova J, et al.
Physiol Meas
. 2018 Aug;
39(9):094003.
PMID: 30102239
Objective: Use of wearable ECG devices for arrhythmia screening is limited due to poor signal quality, small number of leads and short records, leading to incorrect recognition of pathological events....
7.
Marsanova L, Ronzhina M, Smisek R, Vitek M, Nemcova A, Smital L, et al.
Sci Rep
. 2017 Sep;
7(1):11239.
PMID: 28894131
Accurate detection of cardiac pathological events is an important part of electrocardiogram (ECG) evaluation and subsequent correct treatment of the patient. The paper introduces the results of a complex study,...
8.
Ronzhina M, Olejnickova V, Stracina T, Novakova M, Janousek O, Hejc J, et al.
BMC Cardiovasc Disord
. 2017 Aug;
17(1):216.
PMID: 28778146
Background: Detailed quantitative analysis of the effect of left ventricle (LV) hypertrophy on myocardial ischemia manifestation in ECG is still missing. The associations between both phenomena can be studied in...
9.
Hejc J, Vitek M, Ronzhina M, Novakova M, Kolarova J
Cardiovasc Eng Technol
. 2015 Nov;
6(3):364-75.
PMID: 26577367
We present a novel wavelet-based ECG delineation method with robust classification of P wave and T wave. The work is aimed on an adaptation of the method to long-term experimental...
10.
Odstrcilik J, Kolar R, Tornow R, Jan J, Budai A, Mayer M, et al.
Comput Med Imaging Graph
. 2014 Jun;
38(6):508-16.
PMID: 24906911
Images of ocular fundus are routinely utilized in ophthalmology. Since an examination using fundus camera is relatively fast and cheap procedure, it can be used as a proper diagnostic tool...