cardiovascular health and prognosis ( Schwartz, La Rovere, & Vanoli, 1992 ). Heart rate variability (HRV), measured by the variation in the beat-to-beat intervals, is a noninvasive tool for the evaluation of cardiac autonomic function and is shown to be negatively influenced by menopause ( Brockbank, Chatterjee
Gregory Severino, Marcos Sanchez-Gonzalez, Michelle Walters-Edwards, Michael Nordvall, Oksana Chernykh, Jason Adames, and Alexei Wong
Joanne Perry, Ashley Hansen, Michael Ross, Taylor Montgomery, and Jeremiah Weinstock
applications includes physiological feedback mechanisms (i.e., biofeedback, neurofeedback). Heart rate variability (HRV) is a biofeedback measurement that has received increasing attention, largely due to improvements in availability and portability of technology ( Bar-Eli, 2002 ; Beauchamp, Harvey
Mònica Solana-Tramunt, Jose Morales, Bernat Buscà, Marina Carbonell, and Lara Rodríguez-Zamora
indicates baseline salivary cortisol; HRV Rest , baseline heart-rate variability; TT, technical routine; HR, heart rate; La, capillary blood lactate concentration; SC Post , salivary cortisol after the training session; Rec 20–25 , HRV during the recovery period 20 to 25 minutes; Rec 25–30 , HRV during the
Alejandro Javaloyes, Jose Manuel Sarabia, Robert Patrick Lamberts, and Manuel Moya-Ramon
response highlights the importance of monitoring properly, because without the RPE data, functional overreaching might be interpreted as an improvement in training status. In addition to HRR, heart-rate variability (HRV), which focuses on the variability of successive R–R intervals, 13 also gained
Andrew A. Flatt, Jeff R. Allen, Clay M. Keith, Matthew W. Martinez, and Michael R. Esco
psychological stress and represents a physiological hallmark of training fatigue. 6 , 7 A noninvasive measure of autonomic function is heart rate variability (HRV), which is quantified in the time domain from successive beat-to-beat fluctuations. HRV increases as a result of vagal (ie
Daniel J. Plews, Ben Scott, Marco Altini, Matt Wood, Andrew E. Kilding, and Paul B. Laursen
striving for peak performances, the need to effectively monitor human movement and physiological state are important so that more objective decisions around training can be made. 2 The regular assessment of heart rate variability (HRV) has immerged as a measure of “physiological state” that has grown in
Isao Saito, Koutatsu Maruyama, Tadahiro Kato, Yasunori Takata, Kiyohide Tomooka, Ryoichi Kawamura, Yuichi Uesugi, Yoshihiko Naito, Haruhiko Osawa, and Takeshi Tanigawa
the relationship between PA and autonomic function did not include the measurement of insulin. The aim of this study in the general population was to clarify whether the association between PA and the parameters of heart rate variability (HRV), as an index of autonomic function, was influenced by
Piia Kaikkonen, Esa Hynynen, Arto Hautala, and Juha P. Ahtiainen
Heart rate variability (HRV), a noninvasive method to estimate the vagal fluctuations of the heart, 1 – 3 has been used to study the effects of different exercise training protocols on cardiac autonomic modulation. 4 – 8 An exercise session represents a stimulus that causes a disturbance of the
Al Haddad Hani, Paul B. Laursen, Ahmaidi Said, and Buchheit Martin
To assess the effect of supramaximal intermittent exercise on long-term cardiac autonomic activity, inferred from heart rate variability (HRV).
Eleven healthy males performed a series of two consecutive intermittent 15-s runs at 95% VIFT (i.e., speed reached at the end of the 30-15 Intermittent Fitness Test) interspersed with 15 s of active recovery at 45% VIFT until exhaustion. Beat-to-beat intervals were recorded during two consecutive nights (habituation night and 1st night) before, 10 min before and immediately after exercise, as well as 12 h (2nd night) and 36 h (3rd night) after supramaximal intermittent exercise. The HRV indices were calculated from the last 5 min of resting and recovery periods, and the first 10 min of the first estimated slow wave sleep period.
Immediate post-supramaximal exercise vagal-related HRV indices were significantly lower than immediate pre-supramaximal exercise values (P < .001). Most vagal-related indices were lower during the 2nd night compared with the 1st night (eg, mean RR intervals, P = .03). Compared with the 2nd night, vagal-related HRV indices were significantly higher during the 3rd night. Variables were not different between the 1st and 3rd nights; however, we noted a tendency (adjusted effect size, aES) for an increased normalized high-frequency component (P = .06 and aES = 0.70) and a tendency toward a decreased low-frequency component (P = .06 and aES = 0.74).
Results confirm the strong influence of exercise intensity on short- and long-term post exercise heart rate variability recovery and might help explain the high efficiency of supramaximal training for enhancing indices of cardiorespiratory fitness.
Eva Piatrikova, Nicholas J. Willsmer, Marco Altini, Mladen Jovanović, Lachlan J.G. Mitchell, Javier T. Gonzalez, Ana C. Sousa, and Sean Williams
monitoring of the cardiac autonomic nervous system, specifically its parasympathetic arm via the measurement of resting heart rate variability (HRV) and its day-to-day variation. 3 Indeed, HRV has been shown to be related to training load, 4 – 7 performance, 5 , 6 health, 8 and psychological status of