Comparison of Omega Wave System and Polar S810i to Detect R-R Intervals at Rest

Parrado, Eva; García, M.A.; Ramos, Juan L.; Cervantes, Julio; Rodas, Gil; Capdevila, Lluís

doi:10.1055/s-0030-1248319

Cited by 36 publications

(30 citation statements)

References 23 publications

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“…Heart rate and RR intervals were registered beat-to-beat, through a heart rate monitor (Polar S810i) with a 1000 Hz sampling frequency, fastened by an elastic band across chest in heart level. Polar S810i is a valid method to record RR interval and to obtain a valid analysis of HRV (Parrodo et al 2010). Analysis of HRV measurements were conducted with the aid of Kubios HRV Analysis Software 2.1 (MATLAB, the Biomedical Signal Analysis Group, University of Kuopio, Kuopio, Finland) and data interpretation was M A N U S C R I P T ACCEPTED MANUSCRIPT made on basis of previous researches (Huang et al 2009;Wang & Huang 2012).…”

Section: Experimental Condition and Protocolmentioning

confidence: 99%

Effect of acute systemic hypoxia on human cutaneous microcirculation and endothelial, sympathetic and myogenic activity

Paparde

Plakane

Circenis

et al. 2015

Microvascular Research

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Section: Experimental Condition and Protocolmentioning

confidence: 99%

Effect of acute systemic hypoxia on human cutaneous microcirculation and endothelial, sympathetic and myogenic activity

Paparde

Plakane

Circenis

et al. 2015

Microvascular Research

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“…This allowed us to check linearity between these two systems. 23 Recordings were transferred via infrared port to a specific data processing program 24 (Polar Precision 24 Performance Software v.4.03.050, Polar Electro Oy, Kempele, Finland). Once viewed on the notebook screen, the data were filtered to remove any interference.…”

Section: Heart Rate Variabilitymentioning

confidence: 99%

Cardiorespiratory parameters during submaximal exercise under acute exposure to normobaric and hypobaric hypoxia

Basualto-Alarcón

Rodas

Galilea

et al. 2012

Apunts. Medicina de l'Esport

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Seven healthy young men were submitted twice to a hypoxia tolerance test at a simulated altitude (3000 m). Their first acute exposure was in a hypobaric chamber; and the second, in a hypoxic tent. Cardiorespiratory parameters and heart rate variability measurements were obtained under each hypoxic condition. A significant decrease of 6% to 8% compared to normal oxygen conditions was observed in arterial oxygen saturation (SpO 2 ) in both hypoxic conditions at rest; whereas exercise led to decreases of 10% in SpO 2 despite an increase of 27% in respiratory minute volume. The low frequency (LF) and high frequency (HF) components of heart rate variability significantly changed from normoxia (LF: 37.1, HF: 62.9, LF/HF: 1.27) to hypobaric hypoxia (HH) (LF: 49.1, HF: 50.6, LF/HF: 1.96). However, these changes were not observed under normobaric hypoxia. Thus, heart rate variability behaved differently in the two hypoxic conditions, supporting the hypothesis that normobaric hypoxia and hypobaric hypoxia are not equal stimuli to the cardiovascular and respiratory systems. A correlation was found between sympathetic and vagal modulations in normoxia and SpO 2 at exercise under hypobaric hypoxia (HH). Individuals with higher sympathetic modulation (LF%) in normoxia had higher SpO 2 at exercise under HH (r = 0.808, P < 0.05) and individuals with higher vagal modulation (HF%) in normoxia showed a trend to lower SpO 2 in exercise under HH (r = −0.636, P = 0.125). This opens up the possibility of using this correlation as a tool for predicting the individual capacity to altitude acclimatization. © 2011 Consell Català de l'Esport. Generalitat de Catalunya. Published by Elsevier España, S.L. All rights reserved. * Corresponding author. E-mail address: gviscor@ub.edu (G. Viscor). PALABRAS CLAVEVariabilidad de la frecuencia cardiaca; Prueba de tolerancia a hipoxia; Tienda hipóxica; Cámara hipobárica; Saturación arterial de oxígeno Parámetros cardiorrespiratorios durante ejercicio submáximo en hipoxia aguda hipobárica y normobáricaResumen Siete jóvenes sanos y en buena condición física realizaron dos pruebas de tolerancia a hipoxia a una altitud simulada de 3.000 m. La primera fue en cámara hipobárica, mientras que la segunda se efectuó en una tienda hipóxica. Se registraron varios parámetros cardiorrespiratorios y la variabilidad de la frecuencia cardiaca. En comparación con las condiciones de normoxia, se observó un decremento significativo del 6% al 8% en la saturación de oxígeno arterial (SpO 2 ) en reposo en ambas condiciones de hipoxia. El ejercicio desencadenó descensos de un 10% en SpO 2 pese a un incremento del 27% del volumen minuto ventilatorio. Tanto los componentes de baja (LF) como alta frecuencia (HF) de la variabilidad del ritmo cardiaco cambiaron significativamente en hipoxia hipobárica (LF: 49,1, HF: 50,6, LF/HF: 1,96) respecto a normoxia (LF: 37,1, HF: 62,9, LF/HF: 1,27). Estos cambios no se apreciaron en condiciones de hipoxia normobárica, lo cual apoya la hipótesis de que la hipoxia hipobárica y norm...

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“…While the collection of (beat-by-beat) HR was initially only possible with expensive laboratory-based electrocardiograph recorders, the recent availability of valid and portable recorders such as heart-rate monitors (Gamelin et al, 2006; Weippert et al, 2010; Wallen et al, 2012), specifically-designed systems (Parrado et al, 2010; Cassirame et al, 2013) or smart phone applications (Flatt and Esco, 2013) has substantially boosted the use of HRV monitoring in the field. However, despite its common implementation in the field, HR monitoring is still not accepted as a gold standard, likely due to the lack of consistency in the literature.…”

Section: Introductionmentioning

confidence: 99%

Monitoring training status with HR measures: do all roads lead to Rome?

2014

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Measures of resting, exercise, and recovery heart rate are receiving increasing interest for monitoring fatigue, fitness and endurance performance responses, which has direct implications for adjusting training load (1) daily during specific training blocks and (2) throughout the competitive season. However, these measures are still not widely implemented to monitor athletes' responses to training load, probably because of apparent contradictory findings in the literature. In this review I contend that most of the contradictory findings are related to methodological inconsistencies and/or misinterpretation of the data rather than to limitations of heart rate measures to accurately inform on training status. I also provide evidence that measures derived from 5-min (almost daily) recordings of resting (indices capturing beat-to-beat changes in heart rate, reflecting cardiac parasympathetic activity) and submaximal exercise (30- to 60-s average) heart rate are likely the most useful monitoring tools. For appropriate interpretation at the individual level, changes in a given measure should be interpreted by taking into account the error of measurement and the smallest important change of the measure, as well as the training context (training phase, load, and intensity distribution). The decision to use a given measure should be based upon the level of information that is required by the athlete, the marker's sensitivity to changes in training status and the practical constrains required for the measurements. However, measures of heart rate cannot inform on all aspects of wellness, fatigue, and performance, so their use in combination with daily training logs, psychometric questionnaires and non-invasive, cost-effective performance tests such as a countermovement jump may offer a complete solution to monitor training status in athletes participating in aerobic-oriented sports.

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Comparison of Omega Wave System and Polar S810i to Detect R-R Intervals at Rest

Cited by 36 publications

References 23 publications

Effect of acute systemic hypoxia on human cutaneous microcirculation and endothelial, sympathetic and myogenic activity

Effect of acute systemic hypoxia on human cutaneous microcirculation and endothelial, sympathetic and myogenic activity

Cardiorespiratory parameters during submaximal exercise under acute exposure to normobaric and hypobaric hypoxia

Monitoring training status with HR measures: do all roads lead to Rome?

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