Analysis of ECG in athletes running in mountain route conditions

dc.contributor.authorGomis Román, Pedro
dc.contributor.authorGuasch, Eduard
dc.contributor.authorPerera Lluna, Alexandre
dc.contributor.authorMont Girbau, Lluis
dc.contributor.authorCaminal, Pere
dc.contributor.groupUniversitat Politècnica de Catalunya. B2SLab - Bioinformatics and Biomedical Signals Laboratory
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2019-05-20T09:00:09Z
dc.date.available2019-05-20T09:00:09Z
dc.date.issued2019
dc.description.abstractThe purpose of this work is to analyse changes in ECG and heart rate variability (HRV) metrics in athletes during 10 km running in mountain route conditions. Eighteen healthy athletes carrying a 12-lead ECG GE Holter recorder and a heart rate monitor ran a route with slopes similar as trail races. QRS duration, QRS area, R-wave peak, ST elevation at J-point and J+60 ms, ST slope and T-wave peak indices were computed after signal-averaging ECG segments at different sloping stages of running (S1-S6) and at a control stage (S0) before running. HRV analysis included standard time and frequency metrics: mean RR (normal, N) interval, SDNN, RMSSD, low and high frequency absolute and normalized power (LF, HF, LFn, HFn) and LF/HF ratio. QRS area and R-peak were reduced during stage 1 in lateral leads, comparing to rest before running. ST slope was significantly higher during upslope stages in leads II, V4 and V5. T-wave amplitude increased significantly in precordial leads during upload running. ST segment depressed in leads II, III and V5 respect control. Mean RR, SDNN, LF and LFn showed high significant differences (p<0.01) among stages and HF and LF/HF were also varying (p<0.05). Changes of ECG and HRV indices can help understanding the cardiac function in runners performing extreme stress.
dc.description.versionPostprint (published version)
dc.identifier.citationGomis, P. [et al.]. Analysis of ECG in athletes running in mountain route conditions. A: Computing in Cardiology. "Computing in Cardiology 2018". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 382-1-382-4.
dc.identifier.doi10.22489/CinC.2018.382
dc.identifier.urihttps://hdl.handle.net/2117/133239
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.publisherversionhttp://www.cinc.org/archives/2018/
dc.rights.accessOpen Access
dc.rights.licensenameAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica::Electrònica en cardiologia
dc.subject.lcshMedical electronics
dc.subject.lemacElectrònica mèdica
dc.subject.otherECG
dc.subject.otherautonomic response
dc.subject.otherHRV
dc.subject.othersport medicine
dc.titleAnalysis of ECG in athletes running in mountain route conditions
dc.typeConference report
dspace.entity.typePublication
local.citation.authorGomis, P.; Guasch, E.; Perera, A.; Mont, L.; Caminal, P.
local.citation.contributorComputing in Cardiology
local.citation.endingPage382-4
local.citation.publicationNameComputing in Cardiology 2018
local.citation.startingPage382-1
local.identifier.drac23841091

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