Sefater Gbashi, Oluwasola Abayomi Adelusi, Patrick Berka Njobeh
Insights from modelling sixteen years of climatic and fumonisin patterns in maize in South Africa
Scientific reports
paper aims provide comprehensive innovative 12lead electrocardiogram ecg dataset tailored understand unique needs professional football players ecg datasets available collected common people normally diseases confirmed well known ecg characteristics change athletes elite players result intense longterm physical training initiative part broader research project employing machine learning ml analyse ecg data athlete population explore according international criteria ecg interpretation athletes dataset generated establishment prospective observational cohort consisting 54 male football players la liga representing uefa prolevel team named profootball 12lead resting electrocardiogram database pf12red comprises 163 10s ecg recordings offering detailed examination atrest heart activity professional football athletes data collection spans five phases multiple seasons including 20182019 postseason 201920 preseason 202021 preseason 202122 preseason athletes undergo medical evaluations include 10s resting 12lead ecg performed general electrics usbcam 14 module httpscoservicesgehealthcarecomgehcstorefrontp900995002 data saved using general electrics cardiosoft v673 12sl v21 ecg software httpswwwgehealthcareesproductscardiosoftv7 data collection adheres ethical principles clearance granted autonomous community andalusia ethics committee spain protocol number 1573n19 december 2019 participants provide informed consent data sharing permitted following anonymization study aligns declaration helsinki adheres recommendations international committee medical journal editors icmje generated dataset serves valuable resource research sports cardiology cardiac health potential reuse encompasses1international comparison enabling crossregional comparisons cardiac characteristics among elite football players enriching international studies2ml model development facilitating development refinement machine learning models arrhythmia detection serving benchmark dataset3validation diagnostic methods allowing validation automatic diagnostic methods contributing enhanced accuracy detecting cardiac conditions4research sports cardiology supporting future investigations specific cardiac adaptations elite athletes relation cardiovascular health5reference athlete protection policies influencing athlete protection policies providing data cardiac health suggesting guidelines medical assessments6health professionals training serving training resource health professionals interested interpreting ecgs sports contexts7tool application development facilitating development tools applications related visualization simulation analysis ecg signals athletes