Postexercise autonomic function after repeated-sprints training

Vernillo, Gianluca; Agnello, Luca; Barbuti, Andrea; Meco, Silvia Di; Lombardi, Giovanni; Merati, Giampiero; Torre, Antonio La

doi:10.1007/s00421-015-3226-5

Cited by 12 publications

(23 citation statements)

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“…RSE was performed on an indoor synthetic track where the ambient temperature ranged from 18 to 20°C. The RSE consisted of five 30-m linear sprints interspersed by 25 s of active recovery [ 6 ]. To avoid any protective pacing strategy, each subject completed a preliminary single sprint that was considered as the criterion score during the RSE.…”

Section: Methodsmentioning

confidence: 99%

“…Peak HR (HR peak ) was considered as the highest RR-interval value reached at the end of the RSE. As previously described [ 6 ], HRR was calculated by computing the absolute difference between the peak HR retained at the end of exercise (mean of 5 s—HR peak ) and the HR recorded following 60 s of recovery (HRR 60s ) and by taking the time constant of the HR decay obtained by fitting the 10-min postexercise HRR into a first-order exponential decay curve (HRR τ ).…”

Section: Methodsmentioning

confidence: 99%

“…Through the years, RSE has piqued the interest of the scientific community because it may offer a viable alternative to classically prescribed aerobic training protocols and it is therefore considered a reliable way to induce metabolic adaptations in human skeletal muscle [ 1 , 2 ]. Despite the time course of postexercise heart rate (HR) recovery (HRR) and variability (HRV) is acutely impaired after RSE [ 3 – 5 ], our group recently observed that 8-weeks of RS training might have a significant and positive effect on the short-term post exercise parasympathetic reactivation [ 6 ]. Indeed, in nine healthy participants who performed 18 maximal all-out 15-m sprints interspersed with 17 s of passive recovery, 3 times a week for 8 weeks, postexercise HRR and HRV indices improved when compared to a control group that performed normal, daily physical activities [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

“…We therefore reasoned that without prior knowledge of the between test reliability, interpretation of any information about changes in the cardiac parasympathetic reactivation after an RSE is limited. Indeed, despite we previously showed that changes in HRR and HRV indices could be detected after an RS training [ 6 ], and thus the smallest worthwhile change (SWC) could be interpreted as real within acceptable limits of probability [ 22 , 23 ], to assess the usefulness of parasympathetic reactivation measurements after RSE it is important to compare the SWC to the reliability data for the considered indices. This would be of great importance for strength and conditioning coaches, as well as practitioners, in order to avoid bias interpretation when assessing changes in the parasympathetic reactivation indices after RS training protocol and to be able to present a change as meaningful.…”

Section: Introductionmentioning

confidence: 99%

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Effect of repeated-sprints on the reliability of short-term parasympathetic reactivation

et al. 2018

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This study determined the reliability of post-exercise heart rate recovery (HRR) and vagal-related HR variability (HRV) after repeated-sprints (RSs), and contrasted it with the smallest worthwhile change (SWC) of these indices. Fourteen healthy male participants performed on four occasions, separated by 7 days, five 30-m sprints interspersed by 25-s of recovery. Post-exercise HR during 10 min of seated rest was measured. HRR during the first 60-s of recovery was computed (HRR60s). HRV indices were calculated in time and frequency domains during the last 5-min of the recovery. Absolute and relative reliability were assessed by typical error of measurement expressed as coefficient of variation (CV) and intraclass correlation coefficients (ICCs), respectively. Sensitivity was assessed comparing SWC to the typical error of measurement. CV ranged from 3.6% to 13.5% and from 6.3% to 109.2% for the HRR and HRV indices, respectively. ICCs were from 0.78 to 0.96 and from 0.76 to 0.92, respectively. HRR and HRV indices showed large discrepancies reliability. HRR60s and the square root of the mean sum of the squared differences between R-R intervals presented the highest levels of both absolute and relative reliability. However, SWC was lower than the typical error of measurement, indicating insufficient sensitivity to confidently detect small, but meaningful, changes in HRR and HRV indices.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effect of repeated-sprints on the reliability of short-term parasympathetic reactivation

et al. 2018

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“…However, there is still a lack of knowledge to understand if exercise loads are efficiently applied and correctly assimilated by the athlete, avoiding excessive fatigue and overtraining [2]. Nowadays, several physiological and biochemical markers of acute and chronic physical fatigue have been independently tested, among them, heart rate (HR), its variability (HRV: time series between heartbeat and beat), blood concentrations of Creatine Kinase (CK) and lactate ([LA -]b) [3][4][5] that have been used to analyze the physiological components of the fatigue process.…”

Section: Introductionmentioning

confidence: 99%

Central and Peripheral Fatigue Related to the Type of Exercise

Chacón¹,

Meneses²,

Muñiz³

et al. 2018

Preprint

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Athletes are exposed to high-intensity loads to promote athletic performance, however without appropriate evaluation for its effects. This study investigates the effects of four types of exhaustion exercises on Heart Rate Variability (HRV) and Poincaré features as markers of central fatigue; Creatine Kinase (CK) and blood lactate concentrations ([LA-]b) as biomarkers of peripheral fatigue. To achieve this purpose, ten healthy volunteers were exposed to exhaustive exercise using isotonic-, isometric-, aerobic-, and anaerobic-fatigue protocols. HRV Poincaré features, standard deviation of instantaneous beat-to-beat R-R interval variability (SD1) and standard deviation of continuous long-term R-R interval variability (SD2) variables were collected. Central fatigue was tested through the sympathetic stress index (SS) and the sympathetic and parasympathetic index (SS/SD1). Blood samples were collected at the beginning and at the end of the exercises to determine CK and [LA-]b. The SD1 decreased in each exercise protocol, while the SS and SS/SD1 increased. [LA-]b and CK increased at the end of each protocol and correlated with SD1 and SS/SD1. HRV, CK, and [LA-]b are acute markers to detect, both central and peripheral fatigue; sensitive to the type, duration, and intensity of exercise, being HRV a novel noninvasive marker, simple and useful for sports coaches and athletes.

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Assessment of muscle fatigue during isometric contraction using autonomic nervous system correlates

Greco

Valenza

Bicchi

et al. 2019

Biomedical Signal Processing and Control

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Muscle fatigue is a complex phenomenon that results in a reduction of the maximal voluntary force. Measuring muscle fatigue can be a challenging task that may involve the use of intramuscular electrodes (i.e., intramuscular electromyography (EMG)) or complex acquisition techniques. In this study, we propose an alternative non-invasive methodology for muscle fatigue detection relying on the analysis of two Autonomous Nervous System (ANS) correlates, i.e., the electrodermal activity (EDA) and heart rate variability (HRV) series. Based on standard surface EMG analysis, we divided 32 healthy subjects performing isometric biceps contraction into two groups: a fatigued group and a non-fatigued group. EDA signals were analyzed using the recently proposed cvxEDA model in order to derive phasic and tonic components and extract effective features to study ANS dynamics. Furthermore, HRV series were processed to derive several features defined in the time and frequency domains able to estimate the cardiovascular autonomic regulation. A statistical comparison between the fatigued and the non-fatigued groups was performed for each ANS feature, and two EDA features, i.e., the tonic variability and the phasic response rate, showed significant differences. Moreover, a pattern recognition procedure was applied to the combined EDA-HRV feature-set to automatically discern between fatigued and non-fatigued subjects. The proposed SVM classifier, following a recursive feature elimination stage, exhibited a maximal balanced accuracy of 83.33%. Our results demonstrate that muscle fatigue could be identified in a non-invasive fashion through effective EDA and HRV processing.

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Postexercise autonomic function after repeated-sprints training

Abstract: RS training seems to be an effective method to improve postexercise PNSr in healthy adults. Also, HRR60s appears to be a method for evaluating positive adaption to RS training.

Cited by 12 publications

References 50 publications

Effect of repeated-sprints on the reliability of short-term parasympathetic reactivation

Effect of repeated-sprints on the reliability of short-term parasympathetic reactivation

Central and Peripheral Fatigue Related to the Type of Exercise

Assessment of muscle fatigue during isometric contraction using autonomic nervous system correlates

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