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Добірка наукової літератури з теми "Lactate turn point"

Автор: Grafiati
Опубліковано: 10 січня 2023
Оновлено: 28 січня 2023

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Статті в журналах з теми "Lactate turn point"

1

Fasching, Patrick, Stefan Rinnerhofer, Georg Wultsch, Gerhard Tschakert, Peter Hofmann, and Serge P. von Duvillard. "First Lactate Turn Point." Medicine & Science in Sports & Exercise 46 (May 2014): 707. http://dx.doi.org/10.1249/01.mss.0000495599.62004.f2.

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2

Hofmann, Peter, Christian Hartleb, Manfred Wonisch, Guenther Schwaberger, Rochus Pokan, Serge P. von Duvillard, and Serge P. von Duvillard. "Lactate-Minimum and Laktat Turn Point." Medicine & Science in Sports & Exercise 38, Supplement (May 2006): S507—s508. http://dx.doi.org/10.1249/00005768-200605001-02995.

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3

Hofmann, P., R. Pokan, K. Preidler, H. Leitner, D. Szolar, B. Eber, and G. Schwaberger. "Relationship Between Heart Rate Threshold, Lactate Turn Point and Myocardial Function." International Journal of Sports Medicine 15, no. 05 (July 1994): 232–37. http://dx.doi.org/10.1055/s-2007-1021052.

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4

Joglekar, S. S., P. V. Pimpliskar, V. V. Sirdeshmukh, P. S. Alegaonkar, and A. A. Kale. "FITC Embedded ZnO/Silica Nanocomposites as probe for detection of L-lactate: Point-of-Care diagnosis." MRS Advances 4, no. 46-47 (2019): 2533–40. http://dx.doi.org/10.1557/adv.2019.158.

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Анотація:
Abstract:A novel Fluorescence Resonance Energy Transfer (FRET) based ‘Turn-ON’ biosensor has been developed using fluorescent ZnO/APTMS-FITC (ZFA) nanoflakes as sensing probe. In this biosensor, Lactate Dehydrogenase (LDH) is used for the detection of L-lactate, a diagnostic marker for abnormal physiological conditions like muscular dystrophy, myocardial infraction, abnormal tissue formation and tissue damage. Lactate Dehydrogeanse (LDH) catalyses the conversion of L-Lactate to L-Pyruvate, in presence of β-NAD reducing to β-NADH. We tried to explore this mechanism with FRET based system for highly sensitive detection of L-Lactate. The fluorescence of these nanoflakes can be reversibly quenched in the presence of β-NAD.
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5

Hofmann, Peter, Alexander Mueller, Othmar Moser, Gerhard Tschakert, Sandra J. Wallner-Liebmann, Martina Dieber-Rotheneder, Manuela Konrad, and Kurt Zatloukal. "Mid-point Between Lactate Turn Points Exercise Intensity Prescription Compared to Standard Models in Untrained Females." Medicine & Science in Sports & Exercise 46 (May 2014): 846. http://dx.doi.org/10.1249/01.mss.0000496037.28838.b7.

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6

Hofmann, Peter, Gerhard Tschakert, Markus Stark, Günther Schwaberger, Rochus Pokan, Manfred Wonisch, Gerhard Smekal, Franz-Josef Seibert, and Serge P. von Duvillard. "Estimation Error When Using The %HRR Method Compared To The Lactate Turn Point." Medicine & Science in Sports & Exercise 41 (May 2009): 34–35. http://dx.doi.org/10.1249/01.mss.0000354670.06780.da.

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7

Cagran, Claus, Gerhard Tschakert, Nikolaus Stühlinger, Rochus Pokan, Serge P. von Duvillard, and Peter Hofmann. "Value Of The D-max Method To Determine The Second Lactate Turn Point." Medicine & Science in Sports & Exercise 43, Suppl 1 (May 2011): 629–30. http://dx.doi.org/10.1249/01.mss.0000401739.14005.11.

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8

Tilp, Markus, Lukas Kitzberger, Gudrun Schappacher-Tilp, Philipp Birnbaumer, and Peter Hofmann. "Electromyographic and Systemic Physiological Thresholds in Single-Joint Elbow Flexion Movements." International Journal of Sports Physiology and Performance 17, no. 2 (February 1, 2022): 241–48. http://dx.doi.org/10.1123/ijspp.2021-0163.

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Анотація:
Purpose: Reported relationships between electromyographic (EMG) thresholds and systemic thresholds based on lactate, ventilation, or heart rate are contradictory. This might be related to the complexity of the investigated whole-body movements involving many muscles with different activation patterns. Therefore, the aim of the study was to investigate these relationships during an incremental single-joint exercise. Methods: Eighteen male subjects (29.7 [4.4] y) performed single-arm elbow flexions on a biceps curl machine with loads increasing every minute until exhaustion. EMG signals of the main elbow flexors (short and long head of the biceps brachii, flexor carpi radialis, and brachioradialis) as well as gas exchange variables, blood lactate concentration, and heart rate were measured, and 2 turn points based on a 3-phase model of metabolism were determined for each variable. Results: The first and second turn points for EMG were determined at 32.0% to 33.1% and 64.4% to 66.5% of maximal achieved performance (maximum weight), respectively. Systemic turn points were determined at 33.3% to 34.4% and 65.9% to 66.7% of maximum weight and were not significantly different from EMG turn points. Furthermore, systemic and EMG turn points showed a strong or very strong relationship at the first (ρ = .54–.93, P < .05) and second turn point (ρ = .76–.93, P < .01). Conclusions: A close relationship between EMG and systemic turn points could be confirmed for the applied movement of a small muscle group. The determination of local single muscle thresholds using EMG provides additional muscle-specific information about performance-limiting properties of muscles involved in endurance-type incremental exercise.
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9

Tilp, Markus, Lukas Kitzberger, Gudrun Schappacher-Tilp, Philipp Birnbaumer, and Peter Hofmann. "Electromyographic and Systemic Physiological Thresholds in Single-Joint Elbow Flexion Movements." International Journal of Sports Physiology and Performance 17, no. 2 (February 1, 2022): 241–48. http://dx.doi.org/10.1123/ijspp.2021-0163.

Повний текст джерела
Анотація:
Purpose: Reported relationships between electromyographic (EMG) thresholds and systemic thresholds based on lactate, ventilation, or heart rate are contradictory. This might be related to the complexity of the investigated whole-body movements involving many muscles with different activation patterns. Therefore, the aim of the study was to investigate these relationships during an incremental single-joint exercise. Methods: Eighteen male subjects (29.7 [4.4] y) performed single-arm elbow flexions on a biceps curl machine with loads increasing every minute until exhaustion. EMG signals of the main elbow flexors (short and long head of the biceps brachii, flexor carpi radialis, and brachioradialis) as well as gas exchange variables, blood lactate concentration, and heart rate were measured, and 2 turn points based on a 3-phase model of metabolism were determined for each variable. Results: The first and second turn points for EMG were determined at 32.0% to 33.1% and 64.4% to 66.5% of maximal achieved performance (maximum weight), respectively. Systemic turn points were determined at 33.3% to 34.4% and 65.9% to 66.7% of maximum weight and were not significantly different from EMG turn points. Furthermore, systemic and EMG turn points showed a strong or very strong relationship at the first (ρ = .54–.93, P < .05) and second turn point (ρ = .76–.93, P < .01). Conclusions: A close relationship between EMG and systemic turn points could be confirmed for the applied movement of a small muscle group. The determination of local single muscle thresholds using EMG provides additional muscle-specific information about performance-limiting properties of muscles involved in endurance-type incremental exercise.
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10

Hofmann, Peter, and Rochus Pokan. "Value of the Application of the Heart Rate Performance Curve in Sports." International Journal of Sports Physiology and Performance 5, no. 4 (December 2010): 437–47. http://dx.doi.org/10.1123/ijspp.5.4.437.

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Анотація:
The heart rate performance curve (HRPC) has been shown to be nonlinearly related to work load. This phenomenon has been used to determine a defection point and to be related to the lactate anaerobic threshold. The original method was heavily criticized, and the method was challenged by several authors. However, some authors also demonstrated a high value for this method’s application in various sports conditions. Unfortunately, the HRPC was shown to be not uniform and three different patterns were found. Basic investigations have shown a dependence of the HR-defection on beta1-receptor sensitivity, which gave a plausible explanation of the phenomenon. Important details regarding the testing protocol and the method of turn point determination are given in this review. As a conclusion, we may state that based on numerous studies the method is plausible and valid to determine aerobic exercise performance in various laboratory ergometer and specific sports-related field conditions. Standard protocol conditions adjusted to the exercise performance level of subjects and a computer-supported determination of turn points are necessary to obtain reliable results. Large-scale investigations to validate the heart rate turn point with maximal lactate steady state are still needed. However, from the available literature, the application of this noninvasive method can be recommended to determine aerobic exercise performance in various sports. This noninvasive test is easy to perform repeatedly, which gives interesting possibilities for the monitoring of training adaptation in the short term, such as altitude training or specifc taper forms.
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Більше джерел

Дисертації з теми "Lactate turn point"

1

Kjertakov, Metodija. "The role of heat as a conditioning stimulus in endurance athletes." Thesis, 2019. https://vuir.vu.edu.au/40031/.

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Анотація:
Objective: The purpose of this study was to investigate the effects of regular postexercise hot water immersion (HWI) on selected physiological adaptations and on exercise performance in a temperate environment in trained road cyclists. Methods: Fourteen male cyclists were assigned to either an HWI (n = 7) group or a control (CON, n = 7) group. Both groups completed 9 high-intensity interval training sessions (over 3 weeks), with each training session followed by sitting in a water tub for 30 min. Participants from the HWI group were immersed in 42°C water, whereas a thermoneutral water temperature of 34°C was used for the CON group. Core and intramuscular temperature were continuously recorded during the first water immersion session and for 30 min post-session. Before and after the intervention, the cyclists performed a 20-km time trial test and an incremental test to exhaustion to determine lactate turn point, maximal oxygen consumption and peak power output. Venous blood at rest was sampled pre- and post-intervention to assess changes in plasma volume. Muscles biopsies were obtained from the vastus lateralis pre- and post-intervention to assess changes in mitochondrial function. Variables were analysed using t-test and two-way repeated measures analysis of variance. Results: Intramuscular temperature was significantly higher in the HWI than in the CON group at the end of the water immersion treatment (37.8 ± 0.4 vs 36.2 ± 0.5 °C, p=0.001) and 30 min post-immersion (36.7 ± 0.4 vs 35.1 ± 1.2 °C, p=0.01). In addition, HWI group had significantly higher core temperature immediately post-immersion than the CON group (37.8 ± 0.4 vs 37.1 ± 0.2 °C, p=0.01). However, all other measures were not significantly different between the groups. Nevertheless, there was a significant improvement in 20-km time trial performance in both the HWI (2009.8 ± 147.3 vs 1977.5 ± 134.5 seconds, p=0.01) and the CON group (2010.4 ± 182.3 vs 1974.2 ± 185.7 seconds, p=0.04). Conclusion: Three weeks of high intensity interval training led to an improved 20-km time trial performance, but the post-exercise HWI protocol used in this study did not provide additional performance benefits.
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