Factors associated with minimal changes in countermovement jump performance throughout a competitive division I collegiate basketball season

Sanders, Gabriel J.; Boos, Brian; Rhodes, J. Kelly; Kollock, Roger O.; Peacock, Corey A.; Scheadler, Cory M.

doi:10.1080/02640414.2019.1626559

Cited by 16 publications

(27 citation statements)

References 33 publications

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“…Wearable technology enables the remote quantification of physical workloads and exercise training intensities, heart rate intensities, distances, and even muscle electromyography [1][2][3][4][5] . As fatigue increases, sEMG frequency of a muscle will likely decrease 6 , however, it is not well known how physiological responses (i.e., VO2peak, respiratory exchange ratio (RER), and heart rate (HR)) change relative to muscle sEMG of upper leg muscles during a maximal treadmill exercise test.…”

Section: Introductionmentioning

confidence: 99%

Alterations in Surface Electromyography of the Upper Leg Muscles at Specified Respiratory Exchange Ratio Thresholds Ranges During a Maximal Exercise Test

Cooper¹

2021

RDSP

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Introduction: Assessing muscle electromyography (EMG) in conjunction with physiological alterations to exercise may be valuable to determine a more holistic approach to exercise-induced fatigue. Methods: Thirteen, recreationally trained individuals (n = 7 female, n = 6 males) underwent a maximal exercise test. Throughout the test, physiological variables were measured in addition to surface electromyography (sEMG) of the upper legs. Physiological and sEMG data was then grouped in to four category thresholds based on respiratory exchange ratios (RER) greater than 0.95. Results: There was a main effect of group (p < 0.001) as an increase in exercise intensity assessed by RER threshold ranges resulted in a subsequent reductions in sEMG frequencies with the exception of the sEMG frequencies recorded at VO2peak (p < 0.055). Conclusions: Upper leg sEMG frequencies decrease with increases in high intensity exercise, with the exception of near maximal loads.

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Section: Introductionmentioning

confidence: 99%

Alterations in Surface Electromyography of the Upper Leg Muscles at Specified Respiratory Exchange Ratio Thresholds Ranges During a Maximal Exercise Test

Cooper¹

2021

RDSP

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“…Wearable microsensor technology enables the remote quantification of various types of exercise training intensities, heart rate intensities, distances, and movement workloads [1][2][3][4][5]. Moreover, the primary method wearable technology quantifies internal stress is to measure heart rate [6].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the primary method wearable technology quantifies internal stress is to measure heart rate [6]. While heart rate and time engaged in various heart rate training zones are valuable metrics to assess cardiovascular strain, heart rate wearables do not indicate acute muscular strain, neuromuscular fatigue, or even myoelectric manifestations of fatigue during continuous and intermittent highintensity activities [3,7]. Identifying if relationships exist between cardiovascular and neuromuscular indices of fatigue may improve the way practitioners implement training and recovery strategies for athletes.…”

Section: Introductionmentioning

confidence: 99%

Relationship Between Physiological Fatigue and Muscular Fatigue Assessed Utilizing Surface Electromyography Wearable Technology

Sanders

Herb

Kollock

et al. 2021

RDSP

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Introduction: The purpose of the study was to assess the relationship between upper leg muscle fatigue and physiological fatigue during a maximal exercise test. Methods: A total of 13, trained athletes participated and were tested for maximal oxygen uptake (VO2peak). Throughout the test, oxygen uptake respiratory exchange ratio (RER), and heart rate (HR) were recorded simultaneously with surface electromyography (sEMG) electrodes utilizing wearable sEMG compression short technology. Results: During the maximal exercise test, there were significant positive relationships between Muscle Load and all physiological measures (p < 0.001 for all) and significant negative relationships between sEMG frequency and Muscle Load and all physiological measures of fatigue (p < 0.001 for all). Conclusions: Using sEMG wearable compression short technology may be a useful way to measure and monitor muscle strain and fatigue, primarily outside of a laboratory setting.

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“…Vertical jumping is a critical individual competitive ability for basketball players [1]. Outstanding vertical jumping performance enables basketball players to obtain an advantage in terms of avoiding defenders and placing the ball through the basket [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Acute Effects of Midsole Bending Stiffness on Lower Extremity Biomechanics during Layup Jumps

Zhu

Shao

et al. 2020

Applied Sciences

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Purpose: This study aims to investigate the acute effects of shoe midsole stiffness on the joint biomechanics of the lower extremities during specific basketball movements. Methods: Thirty participants wearing stiff midsole shoes (SS) and control shoes (CS) performed layup jumps (LJs) while the kinematics and ground reaction forces were simultaneously collected via the Vicon motion capture system and Kistler force plates. Furthermore, the joint angles, range of motion (ROM), joint power, joint energy, and jump height were calculated. Results: No significant differences were observed between SS and CS conditions for both jump height and the metatarsophalangeal (MTP) joint biomechanics except that the minimum angular velocity of the MTP joint was significantly lower in SS the condition. However, the ROM in the ankle joint was significantly greater in the SS condition than in the CS condition (p < 0.05). Additionally, the maximum plantarflexion power, energy absorption (EA), and energy generation (EG) in the ankle joint were significantly greater in the SS condition than in the CS condition (p < 0.05). Compared with the CS condition, jump height in the SS condition did not increase. Conclusion: During a single LJ, the longitudinal midsole stiffness did not influence the jump height and MTP joint biomechanical patterns but significantly increased the maximum power, EA, and EG during the push-off phase of the ankle joint. These preliminary results indicate that wearing SS could change the ankle joint mechanical patterns by modulating the lower extremity kinetic chain, and may enhance muscle strength in the ankle.

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Factors associated with minimal changes in countermovement jump performance throughout a competitive division I collegiate basketball season

Cited by 16 publications

References 33 publications

Alterations in Surface Electromyography of the Upper Leg Muscles at Specified Respiratory Exchange Ratio Thresholds Ranges During a Maximal Exercise Test

Alterations in Surface Electromyography of the Upper Leg Muscles at Specified Respiratory Exchange Ratio Thresholds Ranges During a Maximal Exercise Test

Relationship Between Physiological Fatigue and Muscular Fatigue Assessed Utilizing Surface Electromyography Wearable Technology

Acute Effects of Midsole Bending Stiffness on Lower Extremity Biomechanics during Layup Jumps

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