scholarly journals Estimation of the workload in horses during an eventing competition

2013 ◽  
Vol 9 (2) ◽  
pp. 93-101 ◽  
Author(s):  
E. Valle ◽  
R. Odore ◽  
P.R. Zanatta ◽  
P. Badino ◽  
C. Girardi ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Recovery ◽  
Training Session ◽  
Warm Up ◽  
Curve Estimation ◽  
Energy Demands ◽  
Cross Country ◽  
Low Intensity Exercise ◽  
Show Jumping ◽  
The Relationship

The aim of this study was to evaluate workload using suitable parameters related to the physical effort exerted by horses involved in eventing competitions in order to describe the workload intensity and energy demands placed upon such horses. Heart rate (HR), running speed (S), distance covered (Dist), performance duration (D) and blood lactate (Lact) concentrations were measured in horses competing at either the intermediate level (IL) or advanced level (AL) in order to identify workload differences between experience classes. Ten warmblood horses were monitored during an official two-day eventing competition; mean HR (HRmean, bpm), maximum HR (HRmax, bpm), mean S (Smean, m/min), max S (Smax, m/min), D (min) and Dist (m) were assessed during the warm-up and competition phases of each eventing test (dressage, show jumping, cross country). To calculate heart rate recovery (HRR), HR data were collected within the first 3 minutes following the completion of each of the 3 competition phases. Energy expenditure (EE) was estimated using the HR/VO2 relationship. Differences between the groups (AL vs. IL) in HRmean, HRmax, %HRmean, %HRpeak (HR expressed as a percentage of the maximum HR peak obtained during a fast gallop training session), S, D, and Dist were assessed using one-tailed unpaired t-tests for both warmup and competition phases; also differences for EE were evaluated. The relationship between HR and S was also determined for warm-up and competition phases using one-tailed Person's correlations. The relationship between HR decrease during the first 3 min following competition phase completion and recovery time was investigated by multiple nonlinear curve estimation procedures. The results reveal the cross country test to be the most demanding of the eventing competition, requiring significantly greater levels of muscular and energetic effort, in terms of Lact production and EE, with higher values recorded in the AL horses compared to IL horses. The data also show that riders need to optimise warm-up duration and quality in accordance with their competition category. The calculation of HRR is also shown to be an appropriate approach for gauging workload after high-intensity exercise, but not after low-intensity exercise since HRR may be influenced by external factors, like how excited a horse is.

Heart-Rate Recovery After Warm-up in Swimming: A Useful Predictor of Training Heart-Rate Response?

2017 ◽  
Vol 12 (6) ◽  
pp. 742-748 ◽  
Author(s):  
Sander P.M. Ganzevles ◽  
Arnold de Haan ◽  
Peter J. Beek ◽  
Hein A.M. Daanen ◽  
Martin J. Truijens
Keyword(s):  
Heart Rate ◽  
Heart Rate Recovery ◽  
National Level ◽  
Training Session ◽  
Training Load ◽  
Step Test ◽  
Swimming Velocity ◽  
Promising Alternative ◽  
Warm Up ◽  
Incremental Step

For training to be optimal, daily training load has to be adapted to the momentary status of the individual athlete, which is often difficult to establish. Therefore, the current study investigated the predictive value of heart-rate recovery (HRR) during a standardized warm-up for training load. Training load was quantified by the variation in heart rate during standardized training in competitive swimmers. Eight female and 5 male Dutch national-level swimmers participated in the study. They all performed 3 sessions consisting of a 300-m warm-up test and a 10 × 100-m training protocol. Both protocols were swum in front crawl at individually standardized velocities derived from an incremental step test. Velocity was related to 75% and 85% heart-rate reserve (% HRres) for the warm-up and training, respectively. Relative HRR during the first 60 s after the warm-up (HRRw-up) and differences between the actual and intended heart rate for the warm-up and the training (ΔHRw-up and ΔHRtr) were determined. No significant relationship between HRRw-up and ΔHRtr was found (F1,37 = 2.96, P = .09, R2 = .07, SEE = 4.65). There was considerable daily variation in ΔHRtr at a given swimming velocity (73–93% HRres). ΔHRw-up and ΔHRtr were clearly related (F1,37 = 74.31, P < .001, R2 = .67, SEE = 2.78). HRR after a standardized warm-up does not predict heart rate during a directly subsequent and standardized training session. Instead, heart rate during the warm-up protocol seems a promising alternative for coaches to make daily individual-specific adjustments to training programs.

Blunted Heart Rate Recovery to Spontaneous Nocturnal Arousals in Short Sleeping Adults

2021 ◽  
Author(s):  
Jeremy A. Bigalke ◽  
Ian M. Greenlund ◽  
Jennifer R. Nicevski ◽  
Carl A. Smoot ◽  
Benjamin Oosterhoff ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Recovery ◽  
Recovery Period ◽  
Sleep Time ◽  
Cardiovascular Complications ◽  
Female Age ◽  
Cardiac Reactivity ◽  
Electrocardiogram Ecg ◽  
The Relationship ◽  
At Home

Chronic insufficient sleep is a common occurrence around the world, and results in numerous physiological detriments and consequences, including cardiovascular complications. The purpose of the present study was to assess the relationship between habitual total sleep time (TST) measured objectively via at-home actigraphy and heart rate (HR) reactivity to nocturnal cortical arousals. We hypothesized that short habitual TST would be associated with exaggerated cardiac reactivity to nocturnal cortical arousals. Participants included in 35 healthy individuals (20 male, 15 female, age: 24 ± 1, BMI: 27 ± 1 kg/m2), and were split using a median analysis into short (SS; n = 17) and normal sleeping (NS; n = 18) adults based on a minimum of 7 days of at-home actigraphy testing. All participants underwent a full overnight laboratory polysomnography (PSG) testing session, including continuous HR (electrocardiogram, ECG) sampling. HR reactivities to all spontaneous cortical arousals were assessed for 20 cardiac cycles following the onset of the arousal in all participants. Baseline HR was not significantly different between groups (P > .05). Spontaneous nocturnal arousal elicited an augmented HR response in the SS group, specifically during the recovery period [F (4.192, 134.134) = 3.413, p = .01]. There were no significant differences in HR reactivity between sexes [F (4.006, 128.189) = .429, p > .05]. These findings offer evidence of nocturnal cardiovascular dysregulation in habitual short sleepers, independent from any diagnosed sleep disorders.

scholarly journals Heart Rate Variability and Mild Traumatic Brain Injury: Case Study and Review of Literature

Neurology ◽  
2019 ◽  
Vol 93 (14 Supplement 1) ◽  
pp. S2.2-S2
Author(s):  
Harrison Seltzer ◽  
Karim Elghawy ◽  
Robert Baker
Keyword(s):  
Traumatic Brain Injury ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Brain Injury ◽  
Mild Traumatic Brain Injury ◽  
Training Session ◽  
The United States ◽  
Smart Device ◽  
Cross Country

ObjectiveUse biofeedback measures to manage a patient's long term recovery from concussion.BackgroundSports-related mild traumatic brain injury (MTBI) is estimated to affect 3.8 million people in the United States. Identifying quantitative measures of recovery has become a point of interest in treatment. Heart Rate Variability (HRV), the average fluctuation in the interval between heartbeats, shows promise as a noninvasive biomarker.Design/MethodsCase report following cardiovascular recovery of a 15 year old cross country runner 4 months post-injury. Average heart rate and maximum heart rate per training session were collected from the patient's smart device.ResultsA 15-year-old Caucasian male cross-country runner hit the back of his head during a soccer game suffering an MTBI. The patient rested from the activity for 1 week then returned to training. Two months after the injury the patient complained of persistent shortness of breath, fatigue, and increased heart rate while running. According to the patient, his average BPM while running prior to the injury was in the 160s. The patient's smart device post-concussion reports a spike into the 180s. 3 months post-concussion the patient was instructed to keep his heart rate below 170 during training. In the following month, the patient's condition improved gradually with a return to baseline activity.ConclusionsHRV is a promising point of investigation for the management of post-concussive symptoms. Further research is necessary to elucidate the long term effects of concussion on heart rate variability.

scholarly journals The Relationship Between Heart Rate Recovery and Heart Rate Variability in Coronary Artery Disease

2006 ◽  
Vol 11 (2) ◽  
pp. 154-162 ◽  
Author(s):  
Harun Evrengul ◽  
Halil Tanriverdi ◽  
Sedat Kose ◽  
Basri Amasyali ◽  
Ayhan Kilic ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Coronary Artery ◽  
Heart Rate Recovery ◽  
Artery Disease ◽  
The Relationship

scholarly journals The Relationship Between the Heart Rate Performance Curve Deflection and the Heart Rate Recovery

2004 ◽  
Vol 36 (Supplement) ◽  
pp. S332
Author(s):  
Melanie Luger ◽  
Rochus Pokan ◽  
Peter Hofmann ◽  
Serge P. von Duvillard
Keyword(s):  
Heart Rate ◽  
Heart Rate Recovery ◽  
Performance Curve ◽  
Rate Performance ◽  
The Relationship

The Relationship Between the Heart Rate Performance Curve Deflection and the Heart Rate Recovery

2004 ◽  
Vol 36 (Supplement) ◽  
pp. S332
Author(s):  
Melanie Luger ◽  
Rochus Pokan ◽  
Peter Hofmann ◽  
Serge P. von Duvillard
Keyword(s):  
Heart Rate ◽  
Heart Rate Recovery ◽  
Performance Curve ◽  
Rate Performance ◽  
The Relationship

The Relationship Between Selected Anthropometric Variables, Vo2Max, and Heart Rate Recovery

2011 ◽  
Vol 25 ◽  
pp. S78
Author(s):  
M R Esco ◽  
H N Williford ◽  
M S Olson ◽  
A R Russell ◽  
K Gaston
Keyword(s):  
Heart Rate ◽  
Heart Rate Recovery ◽  
The Relationship
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