scholarly journals A Comparison of the Point of Deflection from Linearity of Heart Rate and the Ventilatory Threshold in the Determination of the Anaerobic Threshold in Indian Boys

2007 ◽  
Vol 26 (1) ◽  
pp. 31-37 ◽  
Author(s):  
Parthasarathi Debray ◽  
Swapan Kumar Dey
Keyword(s):  
Heart Rate ◽  
Anaerobic Threshold ◽  
Ventilatory Threshold

Determination of the anaerobic threshold by a noninvasive field test in runners

1982 ◽  
Vol 52 (4) ◽  
pp. 869-873 ◽  
Author(s):  
F. Conconi ◽  
M. Ferrari ◽  
P. G. Ziglio ◽  
P. Droghetti ◽  
L. Codeca
Keyword(s):  
Heart Rate ◽  
Blood Lactate ◽  
Field Test ◽  
Anaerobic Threshold ◽  
Initial Velocity ◽  
Running Speed ◽  
The Relationship

The relationship between running speed (RS) and heart rate (HR) was determined in 210 runners. On a 400-m track the athletes ran continuously from an initial velocity of 12–14 km/h to submaximal velocities varying according to the athlete's capability. The HRs were determined through ECG. In all athletes examined, a deflection from the expected linearity of the RS-HR relationship was observed at submaximal RS. The test-retest correlation for the velocities at which this deflection from linearity occurred (Vd) determined in 26 athletes was 0.99. The velocity at the anaerobic threshold (AT), established by means of blood lactate measurements, and Vd were coincident in 10 runners. The correlation between Vd and average running speed (mean RS) in competition was 0.93 in the 5,000 m (mean Vd = 19.13 +/- 1.08 km/h; mean RS = 20.25 +/- 1.15 km/h), 0.95 in the marathon (mean Vd = 18.85 +/- 1.15 km/h; mean RS = 17.40 +/- 1.14 km/h), and 0.99 in the 1-h race (mean Vd = 18.70 +/- 0.98 km/h; mean RS = 18.65 +/- 0.92 km/h), thus showing that AT is critical in determining the running pace in aerobic competitive events.

scholarly journals Determination of anaerobic threshold through heart rate and near infrared spectroscopy in elderly healthy men

2013 ◽  
Vol 17 (5) ◽  
pp. 506-515 ◽  
Author(s):  
Michel S. Reis ◽  
Danilo C. Berton ◽  
Ross Arena ◽  
Aparecida M. Catai ◽  
Jose A. Neder ◽  
...  
Keyword(s):  
Heart Rate ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Anaerobic Threshold ◽  
Near Infrared ◽  
Healthy Men

scholarly journals Heart rate deflection point as a non-invasive method to determine the anaerobic threshold in trained elderly women in the aquatic environment

2020 ◽  
Vol 19 (6) ◽  
pp. 468
Author(s):  
Luana Siqueira Andrade ◽  
Mariana Silva Häfele ◽  
Gustavo Zaccaria Schaun ◽  
Samara Nickel Rodrigues ◽  
Mariana Borba Gomes ◽  
...  
Keyword(s):  
Heart Rate ◽  
Anaerobic Threshold ◽  
Perceived Exertion ◽  
Elderly Women ◽  
Ventilatory Threshold ◽  
Altman Analysis ◽  
Incremental Test ◽  
Bland Altman Analysis ◽  
Water Based ◽  
Invasive Method

Introduction: The anaerobic threshold (AT) determination is important for individualizing the aerobic training prescription. Objective: To compare and verify the agreement between oxygen uptake (VO2), heart rate (HR), and rate of perceived exertion (RPE) at the AT determined by the ventilatory threshold (VT) and heart rate deflection point (HRDP) methods during an aquatic incremental test in trained older women. Methods: Nine elderly women (64.3 ± 4.4 years) engaged in a water-based training program in the last three months performed a maximum incremental test using the water-based stationary running exercise. The test started at a 70 bpm cadence for 2 min, followed by 15 bpm increments every 2 min until exhaustion. VO2, HR and RPE were measured throughout the test and the AT was identified for each method (i.e., VT and HRDP) by three experienced physiologists. Paired t-test and Bland-Altman analysis were used for data analysis (α=0.05). Results: There was no difference between the VT and HRDP methods (p>0.05) and the Bland-Altman analysis showed acceptable agreement between them for all investigated outcomes (VO2: 22.9 ± 5.1 vs. 23.5 ± 4.7 ml.kg-1.min-1, IC95%: -3-+4 ml.kg-1.min-1; HR: 147 ± 11 vs. 147 ± 11 bpm, IC95%: -9-+8 bpm; RPE: 16 ± 1 vs. 16 ± 1, IC95%: -2-+3). Conclusion: Based on these findings, both HR and RPE determined by the HRDP can be used as valid parameters and practical tools for field prescription of intensity during water-based exercises in elderly trained women.Keywords: exercise, aging, exercise test, hydrotherapy, oxygen consumption. 

scholarly journals DETERMINATION OF INDIVIDUAL GLUCOSE THRESHOLD USING PHARMACY PORTABLE BLOOD GLUCOSE METER

2019 ◽  
Vol 25 (3) ◽  
pp. 207-210
Author(s):  
Nuno Manuel Frade de Sousa ◽  
Aloísio Barbosa da Silva Júnior ◽  
Raquel de Souza Mairink ◽  
Danilo Rodrigues Bertucci ◽  
Markus Vinícius Campos Souza ◽  
...  
Keyword(s):  
Anaerobic Threshold ◽  
Ventilatory Threshold ◽  
Low Cost ◽  
Incremental Test ◽  
Level Of Evidence ◽  
Glucose Meter ◽  
The Individual ◽  
Blood Glucose Meter ◽  
Glucose Threshold

ABSTRACT Introduction The individual glucose threshold (IGT) has been used to estimate the anaerobic threshold with low-cost analyses and shorter times. However, the reliability of the glycemic analysis using a portable pharmacy glucose meter has received little attention. Objective To identify the IGT using a portable glucose meter and to compare it with the ventilatory threshold (VT). Methods Fourteen active, healthy men (25.9 ± 3.2 years; %BF = 17.9 ± 3.7%) performed an incremental treadmill test. The anaerobic threshold was identified by two different methods: (1) IGT, corresponding to the intensity of the lowest glucose value during the test; and (2) VT, corresponding to the break in linearity of the ventilation curve and an increase in the respiratory oxygen equivalent, without an equivalent increase in carbon dioxide. Results There were significant differences between VT (9.9 ± 1.2 km/h) and IGT (9.5 ± 1/1 km/h), corresponding to 75.4 ± 9.2 and 72.5 ± 10.4 %VO2max, respectively. The methods presented high correlation (r = 0.82, p = 0.002) and the Bland-Altman technique showed agreement between IGT and VT, with a mean difference of 0.5 km/h. Conclusion It was possible to determine the intensity of IGT by the glycemic response in the incremental test using a portable glucose meter. The IGT underestimated the intensity of VT by approximately 0.5 km/h, but with a high correlation and agreement between them. Level of evidence III, Case-Controle Study.

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.

Noninvasive Determination of Anaerobic Threshold Based on the Heart Rate Deflection Point in Water Cycling

2016 ◽  
Vol 30 (2) ◽  
pp. 518-524 ◽  
Author(s):  
Stephanie S. Pinto ◽  
Roxana M. Brasil ◽  
Cristine L. Alberton ◽  
Hector K. Ferreira ◽  
Natália C. Bagatini ◽  
...  
Keyword(s):  
Heart Rate ◽  
Anaerobic Threshold ◽  
Water Cycling

Anaerobic Threshold Determination With Analysis of Salivary Amylase

1997 ◽  
Vol 22 (6) ◽  
pp. 553-561 ◽  
Author(s):  
Felipe Calvo ◽  
José L. Chicharro ◽  
Fernando Bandrés ◽  
Alejandro Lucía ◽  
Margarita Pérez ◽  
...  
Keyword(s):  
Heart Rate ◽  
Key Words ◽  
Anaerobic Threshold ◽  
Exercise Test ◽  
Capillary Blood ◽  
Salivary Amylase ◽  
Continuous Increase ◽  
Laboratory Exercise ◽  
Significant Difference

The purpose of this study was to determine the anaerobic threshold from analysis of amylase concentration in total saliva during a laboratory exercise test. Each of 20 healthy young men performed both a submaximal and a maximal test on a treadmill. During the submaximal test, capillary blood and total saliva samples were collected for determination of anaerobic threshold (AT) and saliva threshold (Tsa), respectively. Tsa was defined as the point at which the first continuous increase in amylase concentration occurred during exercise. The results showed no significant difference between values of AT and Tsa when both were expressed either as running velocity or as heart rate. In addition, there existed a high correlation between AT and Tsa (r = .93, p < .001). It was therefore concluded that the analysis of amylase concentration in total saliva during exercise might be used as a valid new method for determining AT. Key words: exercise, anaerobic threshold, saliva

scholarly journals Detection of the Anaerobic Threshold in Endurance Sports: Validation of a New Method Using Correlation Properties of Heart Rate Variability

2021 ◽  
Vol 6 (2) ◽  
pp. 38
Author(s):  
Bruce Rogers ◽  
David Giles ◽  
Nick Draper ◽  
Laurent Mourot ◽  
Thomas Gronwald
Keyword(s):  
Heart Rate ◽  
Gas Exchange ◽  
Anaerobic Threshold ◽  
Ventilatory Threshold ◽  
Performance Status ◽  
Exchange Kinetics ◽  
And Performance ◽  
Correlation Properties ◽  
Gas Exchange Kinetics ◽  
Exchange Data

Past attempts to define an anaerobic threshold (AnT) have relied upon gas exchange kinetics, lactate testing and field-based evaluations. DFA a1, an index of heart rate (HR) variability (HRV) fractal correlation properties, has been shown to decrease with exercise intensity. The intent of this study is to investigate whether the AnT derived from gas exchange is associated with the transition from a correlated to uncorrelated random HRV pattern signified by a DFA a1 value of 0.5. HRV and gas exchange data were obtained from 15 participants during an incremental treadmill run. Comparison of the HR reached at the second ventilatory threshold (VT2) was made to the HR reached at a DFA a1 value of 0.5 (HRVT2). Based on Bland–Altman analysis and linear regression, there was strong agreement between VT2 and HRVT2 measured by HR (r = 0.78, p < 0.001). Mean VT2 was reached at a HR of 174 (±12) bpm compared to mean HRVT2 at a HR of 171 (±16) bpm. In summary, the HR associated with a DFA a1 value of 0.5 on an incremental treadmill ramp was closely related to that of the HR at the VT2 derived from gas exchange analysis. A distinct numerical value of DFA a1 representing an uncorrelated, random interbeat pattern appears to be associated with the VT2 and shows potential as a noninvasive marker for training intensity distribution and performance status.

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