11/14/2022 0 Comments Sta je expert bundleA heterogeneous group of 21 participants performed an incremental cycling ramp to failure with measurements of HRV, before (PRE), during (EX), and after (POST). The intent of this report is to validate a new single channel ECG device, the Movesense Medical sensor, against a conventional 12 channel ECG. The typical mobile-based HRV device simply records interbeat intervals, without differentiation between noise or arrythmia as can be done with an electrocardiogram (ECG). The value of heart rate variability (HRV) in the fields of health, disease, and exercise science has been established through numerous investigations. Conclusion: ThereĪre associations between specific electrocardiographic alterations andĬardiovascular, demographic and type of exercise variables that could classifyĪthletes according to cardiovascular risk profiles. Demographic and cardiovascular variables and the time of physicalĮxercise performed were significantly associated with certainĮlectrocardiographic alterations the risk of presenting any of the alterations inĪthletes could be estimated based on the variables set out. The studied subjects presented electrographic alterations, more frequent inĪthletes. Methodology: a descriptive cross-sectional study in 370 individuals, 211 menĪnd 159 women (36 ± 13 years) that were distributed in three groups: maleĪthletes, female athletes, and non-athlete men and women. To identify the relationship between these electrocardiographic alterations withĬardiovascular and demographic variables and physical exercise performed. This study was carried out in view of the need Sport induces cardiac adaptations that are manifested with specificĮlectrocardiographic alterations. Revista Internacional de Medicina y Ciencias de la Actividad Física y el Deporte vol. (201x) Prevalence of Electrocardiographic Alterations in Athletes Associated with Cardiovascular Risk Parameters. However, with respect to DFA a1, values in the uncorrelated range and during higher exercise intensities tend to elicit higher bias and wider LoA.ġ Guerra-Llamas, I. Linear HRV measurements derived from the Polar H10 chest strap device show strong agreement and small bias compared with ECG recordings and can be recommended for practitioners. DFA a1 showed wider bias and LoAs (bias of 0.9 to 8.6% with LoA of 11.6 to −9.9% during low intensity and 58.1 to −40.9% during high intensity). For RR and HR, bias and limits of agreement (LoA) in the Bland–Altman analysis were minimal (RR: bias of 0.7 to 0.4 ms with LoA of 4.3 to −2.8 ms during low intensity and 1.3 to −0.5 ms during high intensity, HR: bias of −0.1 to −0.2 ms with LoA of 0.3 to −0.5 ms during low intensity and 0.4 to −0.7 ms during high intensity). While PRE and POST comparisons revealed no differences, significant bias could be found during the exercise test for all variables (p < 0.001). Average time between heartbeats (RR), heart rate (HR) and DFA a1 were recorded before (PRE), during, and after (POST) the exercise test. A group of 25 participants performed an exhaustive cycling ramp with measurements of HRV with both recording systems. It is the aim of this study to compare the HRV data obtained by the Polar H10 sensor chest strap device and an electrocardiogram (ECG) with the focus on RR intervals and short-term scaling exponent alpha 1 of Detrended Fluctuation Analysis (DFA a1) as non-linear metric of HRV analysis. The rising use of freely accessible applications for its recording requires validation processes to ensure accurate data. Heart rate variability (HRV) is frequently applied in sport-specific settings.
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