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Gregory Severino, Marcos Sanchez-Gonzalez, Michelle Walters-Edwards, Michael Nordvall, Oksana Chernykh, Jason Adames, and Alexei Wong

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

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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

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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

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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

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Sara R. Sherman, Clifton J. Holmes, Alexander P. Demos, Tori Stone, Bjoern Hornikel, Hayley V. MacDonald, Michael V. Fedewa, and Michael R. Esco

Heart rate variability (HRV) has evolved as a noninvasive physiological marker which sport scientists and coaches can utilize to assess and optimize training adaptations and performance in their athletes. 1 – 6 HRV reflects global cardiac-autonomic modulation at the individual level, and proper

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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

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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

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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

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Andrew A. Flatt and Daniel Howells

. Vagal-mediated heart rate variability (HRV) and perceptual well-being questionnaires provide objective and subjective indicators of stress and recovery, respectively. 1 , 9 These noninvasive status markers are sensitive to a variety of stressors likely to be experienced by some athletes before or

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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