The Effect of Preferred and Non-preferred Music Listening on Recovery Heart Rate, Blood Lactate and Saliva Cortisol during Recovery after Exhaustion Exercise

2021 ◽  
Vol 85 ◽  
pp. 445-454
Author(s):  
Jong-Suk Park ◽  
Sang-Ho Kim
Keyword(s):  
Heart Rate ◽  
Blood Lactate ◽  
Music Listening ◽  
Recovery Heart Rate ◽  
Saliva Cortisol

PREDICTION OF BLOOD LACTATE FROM RECOVERY HEART RATE AND POWER IN COLLEGIATE OARSMEN ON A CONCEPT II ERGOMETER 416

1996 ◽  
Vol 28 (Supplement) ◽  
pp. 70
Author(s):  
B. A. Keller ◽  
M. T. Jones ◽  
J. A. Sigg ◽  
C. Harnish ◽  
J. A. Ferriss
Keyword(s):  
Heart Rate ◽  
Blood Lactate ◽  
Recovery Heart Rate

scholarly journals Relationship between Resting and Recovery Heart Rate in Horses

Animals ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 120
Author(s):  
Arno Lindner ◽  
Martina Esser ◽  
Ramón López ◽  
Federico Boffi
Keyword(s):  
Heart Rate ◽  
Blood Lactate ◽  
Exercise Test ◽  
Lactate Concentration ◽  
Blood Lactate Concentration ◽  
Recovery Heart Rate ◽  
Fair Competition ◽  
Significant Relationships ◽  
The Relationship

In endurance racing the heart rate (HR) of horses in the veterinary gates has to reach a maximum set to continue racing. There is no literature on the relationship between resting HR (HRresting) and HR after exercise (HRrecovery). This relationship was examined in seven horses and the results were related to their v4 (speed at which the blood lactate concentration is 4 mmol/L). Horses were submitted to an exercise test to determine v4. Thereafter, horses were exercised on a treadmill in randomized order for 10 and 60 min at different speeds. HR was measured before exercise and several times until 30 min of recovery. The relationship between HRresting and HRrecovery was significant in 16 out of 35 comparisons. There were no significant relationships between the v4 of the horses and their HRresting and between v4 and HRrecovery after 10 min of exercise, regardless of the speed of exercise, with one exception. The relationship between the v4 of the horses and their HRrecovery after 60 min of exercise was significant in the fifth minute after exercise at 3.5 m/s only. Conclusion: Because HRresting and HRrecovery are often related, pre-determined arbitrary HRrecovery values may not allow for fair competition during endurance racing.

scholarly journals Exercise intensity during official soccer matches

2016 ◽  
Vol 18 (6) ◽  
pp. 621 ◽  
Author(s):  
Daniel Barbosa Coelho ◽  
Rodney Coelho da Paixão ◽  
Emerson Cruz de Oliveira ◽  
Lenice Kappes Becker ◽  
João Batista Ferreira-Júnior ◽  
...  
Keyword(s):  
Heart Rate ◽  
Blood Lactate ◽  
Field Test ◽  
Exercise Intensity ◽  
Intermediate Phase ◽  
Age Groups ◽  
Soccer Players ◽  
Blood Lactate Accumulation ◽  
Intensity Of Exercise ◽  
In The Beginning

DOI: http://dx.doi.org/10.5007/1980-0037.2016v18n6p621 The aims of the study were: 1) to analyze the exercise intensity in several phases (six phases of 15 min) of soccer matches; 2) to compare the match time spent above anaerobic threshold (AT) between different age groups (U-17 and U-20); and 3) to compare the match time spent above AT between players’ positions (backs, midfielders, forwards and wingabcks). Forty-four male soccer players were analyzed. To express players’ effort, the heart rate (HR) was continuously monitored in 29 official matches. Further, HR corresponding to the intensity at the onset of blood lactate accumulation (OBLA) was obtained in a field test. The highest exercise intensity during match was observed in the 15-30 min period of the first half (p< 0.05). Match time spent above AT was not different between players from U-17 and U-20. In the comparison among players’ positions, wingbacks showed lower time above AT (p< 0.05) than players of other positions. The intensity of effort is higher in the 15 to 30 minutes of play (intermediate phase), probably because the players are more rested in the beginning and wearing out is progressive throughout the game. It is also noteworthy that the intensity of exercise (HR and time above AT) of wingbacks was lower, probably because they usually are required to run a larger number of sprints and need more time below the AT to recover. 

Physiological responses and energy expenditure during competitive fencing

2014 ◽  
Vol 39 (3) ◽  
pp. 324-328 ◽  
Author(s):  
Raffaele Milia ◽  
Silvana Roberto ◽  
Marco Pinna ◽  
Girolamo Palazzolo ◽  
Irene Sanna ◽  
...  
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Oxygen Uptake ◽  
Blood Lactate ◽  
Carbon Dioxide Production ◽  
Maximum Value ◽  
Average Group ◽  
Aerobic Energy Metabolism ◽  
Olympic Sport ◽  
Energetic Expenditure

Fencing is an Olympic sport in which athletes fight one against one using bladed weapons. Contests consist of three 3-min bouts, with rest intervals of 1 min between them. No studies investigating oxygen uptake and energetic demand during fencing competitions exist, thus energetic expenditure and demand in this sport remain speculative. The aim of this study was to understand the physiological capacities underlying fencing performance. Aerobic energy expenditure and the recruitment of lactic anaerobic metabolism were determined in 15 athletes (2 females and 13 males) during a simulation of fencing by using a portable gas analyzer (MedGraphics VO2000), which was able to provide data on oxygen uptake, carbon dioxide production and heart rate. Blood lactate was assessed by means of a portable lactate analyzer. Average group energetic expenditure during the simulation was (mean ± SD) 10.24 ± 0.65 kcal·min−1, corresponding to 8.6 ± 0.54 METs. Oxygen uptakeand heart rate were always below the level of anaerobic threshold previously assessed during the preliminary incremental test, while blood lactate reached its maximum value of 6.9 ± 2.1 mmol·L−1 during the final recovery minute between rounds. Present data suggest that physical demand in fencing is moderate for skilled fencers and that both aerobic energy metabolism and anaerobic lactic energy sources are moderately recruited. This should be considered by coaches when preparing training programs for athletes.

Evaluation of the Impact of Short Duration Music Listening on Autonomic State (Preprint)

2021 ◽  
Author(s):  
Garry Elvin ◽  
Paras Patel ◽  
Petia Sice ◽  
Chirine Riachy ◽  
Nigel Osborne ◽  
...  
Keyword(s):  
Heart Rate ◽  
Nervous System ◽  
Autonomic Nervous System ◽  
Short Duration ◽  
System Response ◽  
Time Interval ◽  
Music Listening ◽  
Autonomic Nervous ◽  
The Impact ◽  
Change In Mean

BACKGROUND Heart rate variability (HRV), or the variation in the time interval between consecutive heartbeats, is a proven measure for assessing changes in autonomic activity. An increase in variability suggests an upregulation of the parasympathetic nervous system (PNS). Music was shown to have an effect on the limbic system, respiratory rate, and blood pressure. However, there have been relatively few empirical investigations on the effect of music on HRV compared to mean heart rate (HR). Also, the majority of studies have been experimental rather than interventional, reporting significant changes in HRV as a function of musical characteristics, such as tempo, genre, and valence. OBJECTIVE The aim of this pilot study is to evaluate the impact of short duration music listening on the autonomic nervous system response of healthy adults. METHODS Six participants (three males and three females) were tested to investigate the effect of listening to music on HR and HRV. Electrocardiographic (ECG) data was recorded at a sampling rate of 1000 Hz using an eMotion Faros 360 device produced by Bittium Biosignals. The data was collected while the participants listened to four pre-selected songs in a random order separated by a relaxation period of 5 minutes. Data was then cleaned and processed through Kubious HRV 2.0 software. Statistical analysis using Wilcoxon signed rank test was carried out for the time and frequency domains. RESULTS For all but one song that is shorter than 3 minutes (song 1), we observed a statistically significant increase in Standard Deviation of the RR intervals (SDRR) (song 1: P=.125, r=.333; song 2: P=.023, r=.575; song 3: P=.014, r=.635; song 4: P=.014, r=.635) and in the Low Frequency (LF) component of the cardiac spectrogram (song 1: P=.300, r=.151; song 2: P=.038, r=.514; song 3: P=.014, r=.635; song 4: P=.014, r=.635) with a large effect size r, indicating increased HRV. No significant change in mean HR was observed (song 1: P=.173 r=-.272; song 2: P=.058, r=-.454; song 3: P=.125, r=-.333; song 4: P=.232. r=-.212). CONCLUSIONS Listening to pre-selected songs of longer duration than 3 minutes 30 seconds is associated with significant increases in HRV measures, especially SDRR and LF. Music thus has the potential to overcome autonomic nervous system (ANS) dysregulation and thereby benefit health and wellbeing.

scholarly journals A Study on Shock Index in Early Diagnosis of Sepsis in Emergency Department of Tertiary Care Centre of Nepal

2019 ◽  
Vol 2 (2) ◽  
pp. 37-42
Author(s):  
Manish Nath Pant ◽  
Subash Dawadi ◽  
Ashish Thapa
Keyword(s):  
Emergency Department ◽  
Heart Rate ◽  
Severe Sepsis ◽  
Early Diagnosis ◽  
Blood Lactate ◽  
Lactate Level ◽  
Tertiary Care ◽  
Serum Lactate ◽  
Shock Index ◽  
Tertiary Care Centre

Introduction: Sepsis and its consequences, severe sepsis and septic shock is at menace in country like ours where infectious disease are at toll. Early diagnosis and treatment is very important to decrease the morbidity and mortality. Shock index is one of such tool that is very handy in these situations as this is just a mathematical calculation using heart rate(HR) and systolic blood pressure(SBP). The main aim of this study was to find the effectiveness of using SI as an adjunct to blood lactate in diagnosing patients in sepsis. Methods: This was an observational hospital-based study conducted at Emergency Department of TUTH, Maharajgunj on 104 patients, obtained by purposive sampling method, who had presented to the “Red Area”, aged between 18 to 65 years. These patients were screened for severe sepsis using triage vital signs, basic laboratory tests and an initial serum lactate level. Test characteristics were calculated for hyperlactatemia. I considered the following covariates in our analysis: heart rate >90 beats/min; mean arterial pressure <65 mmHg; respiratory rate > 20 breaths/min; ≥2 SIRS including white blood cell count; SI <0.6; SI 0.6 to 1; SI 1 to 1.4and SI ≥ 1.4.  Results: There was a positive correlation between shock index and blood lactate level, r=0.2, n=104, p=0.042. No relationship was found between SI>=1 and hyperlactemia, X2 (.285, N = 104) = 1, p =.594 and relationship was found between SI >=0.7 and hyperlactemia, X2 (4.1, N = 104) = 1, p =.04. sensitivity and specificity for detecting hyperlactemia of SI>=1, SI.=0.7, SIRS was 84% and 20%, 93% and 0%, 79% and 20% respectively. Conclusions: There was weak correlation between the lactate level and shock index with statistically significant correlation between the shock index grouped >=0.7 and hyperlactatemia with high sensitivity and very low specificity.

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