| Title |
Ultra-shortened time-domain HRV parameters at rest and following exercise in athletes: an alternative to frequency computation of sympathovagal balance
|
|---|---|
| Published in |
European Journal of Applied Physiology, November 2017
|
| DOI | 10.1007/s00421-017-3759-x |
| Pubmed ID | |
| Authors |
Michael R. Esco, Henry N. Williford, Andrew A. Flatt, Todd J. Freeborn, Fabio Y. Nakamura |
| Abstract |
The primary purpose of this study was to determine the accuracy of the standard deviation of normal-to-normal intervals (SDNN) to root mean square of successive normal-to-normal interval differences (RMSSD) ratio from 1-min recordings (SDNN:RMSSD1-min) compared to criterion recordings, as well as its relationship to low-frequency-to-high-frequency ratio (LF:HF) at rest and following maximal exercise in a group of collegiate athletes. Twenty athletes participated in the study. Heart rate variability (HRV) data were measured for 5 min before and at 5-10 and 25-30 min following a maximal exercise test. From each 5-min segment, the frequency-domain measures of HF, LF, and LF:HF ratio were analyzed. Time-domain measures of SDNN, RMSSD, and SDNN:RMSSD ratio were also analyzed from each 5-min segment, as well as from randomly selected 1-min recordings. The 1-min values of SDNN, RMSSD, and SDNN:RMSSD provided no significant differences and nearly perfect intra-class correlations (ICCs ranged from 0.97 to 1.00, p < 0.001 for all) to the criterion measures from 5-min recordings. In addition, SDNN, RMSSD, and SDNN:RMSSD from the 1-min segments provided very large to nearly perfect correlations (r values ranged from 0.71 to 0.97, p < 0.001 for all) to LF, HF, and LF:HF, respectively, at each time point. The findings of the study suggest that ultra-shortened time-domain markers may be useful surrogates of the frequency-domain parameters for tracking changes in sympathovagal activity in athletes. |
X Demographics
The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 5 | 19% |
| United States | 3 | 12% |
| Canada | 2 | 8% |
| Brazil | 1 | 4% |
| Belgium | 1 | 4% |
| United Kingdom | 1 | 4% |
| Germany | 1 | 4% |
| Argentina | 1 | 4% |
| Portugal | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 69% |
| Scientists | 6 | 23% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 135 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 20 | 15% |
| Student > Ph. D. Student | 19 | 14% |
| Researcher | 12 | 9% |
| Student > Bachelor | 10 | 7% |
| Professor | 8 | 6% |
| Other | 28 | 21% |
| Unknown | 38 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 41 | 30% |
| Medicine and Dentistry | 17 | 13% |
| Nursing and Health Professions | 9 | 7% |
| Computer Science | 5 | 4% |
| Agricultural and Biological Sciences | 4 | 3% |
| Other | 15 | 11% |
| Unknown | 44 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 February 2019.
All research outputs
#2,199,726
of 25,382,440 outputs
Outputs from European Journal of Applied Physiology
#732
of 4,345 outputs
Outputs of similar age
#42,250
of 338,252 outputs
Outputs of similar age from European Journal of Applied Physiology
#18
of 57 outputs
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