Literature DB >> 25177179

Ultra-short-term heart rate variability indexes at rest and post-exercise in athletes: evaluating the agreement with accepted recommendations.

Michael R Esco1, Andrew A Flatt1.   

Abstract

The purpose of this study was to evaluate the agreement of the vagal-related heart rate variability index, log-transformed root mean square of successive R-R intervals (lnRMSSD), measured under ultra-short-term conditions (< 60 seconds) with conventional longer term recordings of 5 minutes in collegiate athletes under resting and post-exercise conditions. Electrocardiographic readings were collected from twenty-three athletes within 5-minute segments at rest and at 25-30 minutes of supine recovery following a maximal exercise test. From each 5-minute segment, lnRMSSD was recorded as the criterion measure. Within each 5-minute segment, lnRMSSD was also determined from randomly selected ultra-short-term segments of 10-, 30-, and 60-seconds in length, which were compared to the criterion. When compared to the criterion measures, the significant intraclass correlation (from 0.98 to 0.81, p < 0.05) and typical error (from 0.11 to 0.34) increased as ultra-short-term measurement duration decreased (i.e., from 60 seconds to 10 seconds). In addition, the limits of agreement (Bias ± 1.98 SD) increased as ultra-short-term lnRMSSD duration decreased as follows: 0.00 ± 0.22 ms, -0.07 ± 0.41 ms, -0.20 ± 0.94 ms for the 60-, 30-, and 10-second pre-exercise segments, respectively, and -0.15 ± 0.39 ms, -0.14 ± 0.53 ms, -0.12 ± 0.76 ms for the 60-, 30-, and 10-second post-exercise segments, respectively. This study demonstrated that as ultra-short-term measurement duration decreased from 60 seconds to 10 seconds, the agreement to the criterion decreased. Therefore, 60 seconds appears to be an acceptable recording time for lnRMSSD data collection in collegiate athletes. Key PointsThe log-transformed root mean square of successive R-R intervals (lnRMSSD) is a vagal-related heart rate variability index that has become a promising method for monitoring individual adaptation to training when measured during resting or post-exercise conditions.This study demonstrated that lnRMSSD of the 60-second electrocardiogram segments could likely serve as an alternative to traditional 5-minute measures in resting and exercise recovery conditions.Due to the current results in athletes and previous investigation involving non-athletes, the utility of ultra-sound-term lnRMSSD measures, especially 60 seconds in duration, within field setting for monitoring athletes at rest and in response to stress appears promising.

Keywords:  Performance; athletic monitoring; autonomic; parasympathetic; training load

Year:  2014        PMID: 25177179      PMCID: PMC4126289     

Source DB:  PubMed          Journal:  J Sports Sci Med        ISSN: 1303-2968            Impact factor:   2.988


  34 in total

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2.  Heart rate recovery after exercise: relations to heart rate variability and complexity.

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5.  Reliability of Ultra-Short ECG Indices for Heart Rate Variability.

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6.  Heart rate variability, blood pressure variability, and baroreflex sensitivity in overtrained athletes.

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Authors:  Daniel J Plews; Paul B Laursen; Andrew E Kilding; Martin Buchheit
Journal:  Eur J Appl Physiol       Date:  2012-02-25       Impact factor: 3.346

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  54 in total

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6.  Modelling the HRV Response to Training Loads in Elite Rugby Sevens Players.

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Journal:  J Sports Sci Med       Date:  2018-08-14       Impact factor: 2.988

7.  Ultra-shortened time-domain HRV parameters at rest and following exercise in athletes: an alternative to frequency computation of sympathovagal balance.

Authors:  Michael R Esco; Henry N Williford; Andrew A Flatt; Todd J Freeborn; Fabio Y Nakamura
Journal:  Eur J Appl Physiol       Date:  2017-11-11       Impact factor: 3.078

8.  Recovery of the cardiac autonomic nervous and vascular system after maximal cardiopulmonary exercise testing in recreational athletes.

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Journal:  Eur J Appl Physiol       Date:  2017-11-15       Impact factor: 3.078

9.  Authors' reply to Medeiros et al.: Make it easier! Evaluation of the 'vagal-sympathetic effect' in different conditions with R-R intervals monitoring.

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10.  Continuous Detection of Physiological Stress with Commodity Hardware.

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