Echocardiographic assessment of right ventricle adaptation to endurance training in young rowers – speckle tracking echocardiography

Konopka, Marcin; Król, Wojciech; Burkhard-Jagodzińska, Krystyna; Jakubiak, Agnieszka; Klusiewicz, Andrzej; Chwalbińska, Jolanta; Pokrywka, Andrzej; Sitkowski, Dariusz; Dłużniewski, Mirosław; Braksator, Wojciech

doi:10.5604/20831862.1216659

Cited by 2 publications

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“…The athletes participating in highly static and highly dynamic disciplines (IIIC by Mitchel et al [11]) most commonly demonstrate changes classified as "athlete's heart", including the ECG ones [20,21]. Therefore, the percentage of observed changes in the resting ECG, which require further medical assessment, can be assumed to be the highest possible.…”

Section: Discussionmentioning

confidence: 99%

The differences in electrocardiogram interpretation in top-level athletes

et al. 2017

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A b s t r a c tBackground: The Ministry of Health in Poland recommends electrocardiogram (ECG)-based cardiovascular screening in athletes, but so far there has been a lack of guidelines on preparticipation assessment. We compared different criteria of ECG screening assessment in a group of top-level athletes. Aim:The aims were to evaluate the prevalence of ECG changes in athletes that necessitate further cardiological work-up according to three criteria in various age groups as well as to identify factors determining the occurrence of changes related and unrelated to the training.Methods: 262 high-dynamic, high-static Polish athletes (rowers, cyclists, canoeists) were divided into two age categories: young (≤ 18 years of age; n = 177, mean age 16.9 ± 0.8; 15-18 years) and elite (> 18 years of age; n = 85, mean age 22.9 ± 3.4; 19-34 years). All sports persons had a 12-lead ECG performed and evaluated according to 2010 European Society of Cardiology (ESC) recommendations, 2012 Seattle criteria, and 2014 Refined criteria. Results:The Refined criteria reduced (p < 0.001) the number of training-unrelated ECG findings to 8.0% vs. 12.6% (Seattle criteria) and 30.5% (ESC recommendations). All three criteria revealed more training-related changes in the group of older athletes (76.5% vs. 55.9%, p = 0.001). Predictors that significantly (p < 0.005) affected the occurrence of adaptive changes were the age of the athlete, training duration (in years), and male gender.Conclusions: 1. The ESC criteria identified a group of athletes that was unacceptably large, as for the screening test, requiring verification with other methods (every fourth athlete). 2. The use of the Refined criteria helps to significantly reduce the frequency and necessity for additional tests. 3. The dependence of adaptive changes on training duration and athletes' age confirms the benign nature of those ECG findings.

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Section: Discussionmentioning

confidence: 99%

The differences in electrocardiogram interpretation in top-level athletes

et al. 2017

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Deep Learning for Treadmill-Oriented Cardiorespiratory Endurance Testing and Training

Yanying

2022

Advances in Multimedia

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The aim of this paper was to study deep learning for treadmill-oriented cardiorespiratory endurance testing and training. This paper designs a cardiorespiratory endurance test system for the general public based on ordinary exercise bikes, which can be used to execute training programs and improve cardiorespiratory endurance levels, system design, and implementation. Through the analysis and summary of the design principle, and the design of software and hardware, the heart rate measurement, power measurement, and constant power control are realized, and the human-computer interaction software integrated into the cardiorespiratory endurance test scheme is designed. The results show that the Pearson correlation coefficient verification results of the maximum oxygen uptake VO2max of the two groups are the correlation coefficient r = 0.938, |r > 0.8, indicating that the two groups of data have a high correlation; the significance coefficient p < 0.0S, lpl <0.0S, and the accuracy and validity of the system test are verified by the comparison experiment with the gold standard equipment Monaco MONARK power car.

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Echocardiographic assessment of right ventricle adaptation to endurance training in young rowers – speckle tracking echocardiography

Cited by 2 publications

References 32 publications

The differences in electrocardiogram interpretation in top-level athletes

The differences in electrocardiogram interpretation in top-level athletes

Deep Learning for Treadmill-Oriented Cardiorespiratory Endurance Testing and Training

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