scholarly journals Influence of Cooling Down Exercise on Heart Rate Variability after Steady Load Exercise at the Anaerobic Threshold Intensity

2019 ◽  
Vol 34 (3) ◽  
pp. 309-312
Author(s):  
Takuya UJIKAWA ◽  
Tomoshige KOGA
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Anaerobic Threshold ◽  
Threshold Intensity ◽  
Steady Load

Identification of anaerobic threshold by analysis of heart rate variability during discontinuous dynamic and resistance exercise protocols in healthy older men

2013 ◽  
Vol 34 (2) ◽  
pp. 98-108 ◽  
Author(s):  
Rodrigo Polaquini Simões ◽  
Viviane Castello-Simões ◽  
Renata Gonçalves Mendes ◽  
Bruno Archiza ◽  
Daniel Augusto dos Santos ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Resistance Exercise ◽  
Anaerobic Threshold ◽  
Older Men

A New Approach for Detecting the Anaerobic Threshold Based on the Heart Rate Variability

2006 ◽  
Vol 38 (Supplement) ◽  
pp. S506
Author(s):  
Filipe L. Medeiros ◽  
Luis E.C. Cardoso ◽  
Alfredo M. de Oliveira ◽  
Carlos E.B. Neves ◽  
Edil L. Santos
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Anaerobic Threshold ◽  
New Approach

The Comparisons of Heart Rate Variability and Perceived Exertion During Simulated Cycling with Various Viewing Devices

2008 ◽  
Vol 17 (6) ◽  
pp. 575-583 ◽  
Author(s):  
Shih-Fong Huang ◽  
Po-Yi Tsai ◽  
Wen-Hsu Sung ◽  
Chih-Yung Lin ◽  
Tien-Yow Chuang
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Spectral Density ◽  
Power Spectral Density ◽  
Perceived Exertion ◽  
Low Frequency ◽  
Control Group ◽  
Threshold Intensity ◽  
Power Spectral ◽  
Significant Difference

Sympathovagal modulation during immersion in a virtual environment is an important influence on human performance of a task. The aim of this study is to investigate sympathovagal modulation using heart rate variability and perceived exertion during exercise in a virtual reality (VR) environment. Sixteen young healthy volunteers were tested while using a stationary bicycle and maintained at an anaerobic threshold intensity for exercise sessions of approximately 10 min duration. Four randomized viewing alternatives were provided including desktop monitor, projector, head mounted device (HMD), and no simulation display. The “no simulation display” served as the control group. A quick ramp exercise test was conducted and maintained at an anaerobic threshold intensity for each session to evaluate power spectral density and rating of perceived exertion (RPE). The sampled heart rate data were rearranged by cubic spline interpolation into power spectrums spanning the ultra-low frequency (ULF) to high frequency (HF) range. A significant difference was found between the no-display and projector groups for total power (TP) and very low frequency (VLF) components. In particular, there was a significant difference when comparing HMD and no-display exercise RPE curves within 6 min of cycling and at the termination of the exercise. A significant difference was also achieved in projector vs. control group comparison at the termination of the exercise. Our results indicate that the use of HMD and the projected VR during cycling can reduce the TP and VLF power spectral density through a proposed decrease in the renin-angiotensin system, with the implication that this humoral effect may enable anaerobic exercise for longer durations through a reduction in sympathetic tone and subsequent increased blood flow to the muscles.

Heart-Rate Deflection Point and the Second Heart-Rate Variability Threshold during Running Exercise in Trained Boys

2007 ◽  
Vol 19 (2) ◽  
pp. 192-204 ◽  
Author(s):  
Martin Buchheit ◽  
Roberto Solano ◽  
Grégoire Paul Millet
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Power Density ◽  
Anaerobic Threshold ◽  
Ventilatory Threshold ◽  
Good Alternative ◽  
Running Exercise ◽  
Reference Measure ◽  
Highly Correlated ◽  
Linear Regressions

The aim of the present investigation was to compare the accuracy of the heart-rate (HR) deflection point (HRDP) and the second HR variability threshold (HRVTh2) to predict anaerobic threshold in boys. HRDP was determined from slope trends of successive linear regressions. HRVTh2 was determined from the high frequency’s peak and power-density trends. The second ventilatory threshold (VTh2) corresponding to the first decrease in PETCO2, with an increase in VE/VCO2, was used as the reference measure of AnT. Results show that VO2 and HR were similar at HRDP, HRVTh2, and VTh2. HRVTh2 and HRDP were highly correlated. It appears that HRVTh2 is a good alternative to HRDP for assessing anaerobic threshold. HRVTh2 and HRDP might rely on similar mechanisms.

Estimation of the anaerobic threshold from the data on lung ventilation and heart rate variability

2011 ◽  
Vol 37 (6) ◽  
pp. 733-737 ◽  
Author(s):  
V. N. Seluyanov ◽  
E. M. Kalinin ◽  
G. D. Pack ◽  
V. I. Mayevskaya ◽  
A. N. Konrad
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Anaerobic Threshold ◽  
Lung Ventilation

Estimation of the Anaerobic Threshold from Heart Rate Variability in an Incremental Swimming Test

2012 ◽  
Vol 26 (11) ◽  
pp. 3059-3066 ◽  
Author(s):  
Rocco Di Michele ◽  
Giorgio Gatta ◽  
Antonino Di Leo ◽  
Matteo Cortesi ◽  
Francesca Andina ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Anaerobic Threshold ◽  
Swimming Test
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