Can cardiac vagal tone be estimated from the 10-second ECG?

Hamilton, R.J.

doi:10.1016/j.ijcard.2003.07.002

Cited by 11 publications

(17 citation statements)

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“…Therefore, rMSSD is well suited for the measurement of cardiac vagal outflow during 'freerunning' ambulatory conditions (Penttila et al 2001), as in the present study. The 3-min period was also deemed to be valid for the assessment of cardiac autonomic activity since rMSSD periods as short as 10 s were shown to accurately reflect the level of the parasympathetic activity (Hamilton et al 2004). Finally, a 3-min period is unlikely sufficient for appropriate LF calculation (Task Force 1996), which prevented us, again, to use spectral analysis.…”

Section: Hr Data Analysismentioning

confidence: 99%

Monitoring changes in physical performance with heart rate measures in young soccer players

et al. 2011

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The aim of the present study was to verify the validity of using exercise heart rate (HRex), HR recovery (HRR) and post-exercise HR variability (HRV) during and after a submaximal running test to predict changes in physical performance over an entire competitive season in highly trained young soccer players. Sixty-five complete data sets were analyzed comparing two consecutive testing sessions (3-4 months apart) collected on 46 players (age 15.1 ± 1.5 years). Physical performance tests included a 5-min run at 9 km h(-1) followed by a seated 5-min recovery period to measure HRex, HRR and HRV, a counter movement jump, acceleration and maximal sprinting speed obtained during a 40-m sprint with 10-m splits, repeated-sprint performance and an incremental running test to estimate maximal cardiorespiratory function (end test velocity V (Vam-Eval)). Possible changes in physical performance were examined for the players presenting a substantial change in HR measures over two consecutive testing sessions (greater than 3, 13 and 10% for HRex, HRR and HRV, respectively). A decrease in HRex or increase in HRV was associated with likely improvements in V (Vam-Eval); opposite changes led to unclear changes in V (Vam-Eval). Moderate relationships were also found between individual changes in HRR and sprint [r = 0.39, 90% CL (0.07;0.64)] and repeated-sprint performance [r = -0.38 (-0.05;-0.64)]. To conclude, while monitoring HRex and HRV was effective in tracking improvements in V (Vam-Eval), changes in HRR were moderately associated with changes in (repeated-)sprint performance. The present data also question the use of HRex and HRV as systematic markers of physical performance decrements in youth soccer players.

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Section: Hr Data Analysismentioning

confidence: 99%

Monitoring changes in physical performance with heart rate measures in young soccer players

et al. 2011

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“…Some studies concluded that their examined HRV metrics were reliable [2,5,8,13,14,18,19,25,29,31,34,35,39,41,50,55,58,59,60,61], while others found the reliability to be moderate or low [6,23,33,51,56,62]. This discrepancy of results may be due, in part, to the fact that these studies examined distinct subject populations, and their conclusions on HRV reliability apply only to the specific HRV metrics studied.…”

Section: Introductionmentioning

confidence: 99%

Reliability and accuracy of heart rate variability metrics versus ECG segment duration

2006

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Despite the exponential growth in heart rate variability (HRV) research, the reproducibility and reliability of HRV metrics continues to be debated. We estimated the reliability of 11 metrics calculated from 5 min records. We also compared the accuracy of the HRV metrics calculated from ECG records spanning 10 s to 10 min as compared with the metrics calculated from 5 min records. The mean heart rate was more reproducible and could be more accurately estimated from very short segments (<1 min) than any of the other HRV metrics. HRV metrics that effectively highpass filter the R-R interval series were more reliable than the other metrics and could be more accurately estimated from very short segments. This indicates that most of the HRV is caused by drift and nonstationary effects. Metrics that are sensitive to low frequency components of HRV have poor repeatability and cannot be estimated accurately from short segments (<10 min).

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“…Hamilton et al [30] have shown that vagal tone can effectively be measured in 10 s by RMSSD and AAD (average absolute difference, equivalent to RSA meanAD here), and less so by SDNN. Thong et al [31] also showed 10 s RMSSD to be equivalent to 300 s RMSSD for subjects assumed to be resting after detrending with a 21 point moving average.…”

Section: Short-time Periods For Parasympathetic Activitymentioning

confidence: 93%

“…The Neuroscope (Pontoppidan, Copenhagen, Denmark) measuring CIPA, a cardiac index of parasympathetic activity [36,37] equivalent to RSA meanAD here, over 5 min has been proven to be quantifiable with 10 s recording [30] however, the 10 s AAD was not proven to be useful for studying mortality in old age [38].…”

Section: Devices For Short-term Parasympathetic Hrvmentioning

confidence: 99%

Heart rate variability indices for very short-term (30 beat) analysis. Part 1: survey and toolbox

Smith

Owen

Reynolds

2013

J Clin Monit Comput

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Heart rate variability (HRV) analysis over very short (<60 s) periods may be useful for monitoring dynamic changes in autonomic nervous system activity where steady-state conditions are not maintained (e.g. during drug administration, or the start or end of exercise). From the 1980s there has been a wealth of HRV indices produced in the quest for better measures of the change in parasympathetic and sympathetic activity. Many of the indices have been sparingly used and have not been investigated for application to short-term use. This study surveyed published methods of HRV analysis searching for indices that could be applied to very short time HRV analysis. The survey included measures of time domain, frequency domain, respiratory sinus arrhythmia, Poincaré plot, and heart rate characteristics. Indices were tested with short segments of archived data to remove those that produced invalid results, or were mathematically equivalent to, but less well known than other indices. The survey identified a comprehensive list of 115 indices that were subsequently coded and screened. Of these, 70 were unique and produced a finite number with 60 s data, so are included in the Toolbox. These indices require validation against physiological data before they can be applied to short-term HRV analysis of cardiac autonomic nervous system activity.

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Can cardiac vagal tone be estimated from the 10-second ECG?

Cited by 11 publications

References 0 publications

Monitoring changes in physical performance with heart rate measures in young soccer players

Monitoring changes in physical performance with heart rate measures in young soccer players

Reliability and accuracy of heart rate variability metrics versus ECG segment duration

Heart rate variability indices for very short-term (30 beat) analysis. Part 1: survey and toolbox

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