1
|
Pinto JCBDL, Menezes TCB, Fonteles AI, Mortatti AL. Impact of successive basketball matches in psychophysiological response and neuromuscular performance in adolescent players. Sport Sci Health 2022. [DOI: 10.1007/s11332-022-01000-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
|
2
|
Horri Z, Lenjannejadian S, Boroujeni MR, Farazin A. Kinematics of take-off phase in successful and unsuccessful performances of gymnastic somersault: an experimental study. Sport Sci Health 2021. [DOI: 10.1007/s11332-021-00797-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
3
|
Zana R, Bodor B, Bencsik L, Zelei A. A Tutorial for the Analysis of the Piecewise-Smooth Dynamics of a Constrained Multibody Model of Vertical Hopping. MCA 2018; 23:74. [DOI: 10.3390/mca23040074] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Contradictory demands are present in the dynamic modeling and analysis of legged locomotion: on the one hand, the high degrees-of-freedom (DoF) descriptive models are geometrically accurate, but the analysis of self-stability and motion pattern generation is extremely challenging; on the other hand, low DoF models of locomotion are thoroughly analyzed in the literature; however, these models do not describe the geometry accurately. We contribute by narrowing the gap between the two modeling approaches. Our goal is to develop a dynamic analysis methodology for the study of self-stable controlled multibody models of legged locomotion. An efficient way of modeling multibody systems is to use geometric constraints among the rigid bodies. It is especially effective when closed kinematic loops are present, such as in the case of walking models, when both legs are in contact with the ground. The mathematical representation of such constrained systems is the differential algebraic equation (DAE). We focus on the mathematical analysis methods of piecewise-smooth dynamic systems and we present their application for constrained multibody models of self-stable locomotion represented by DAE. Our numerical approach is demonstrated on a linear model of hopping and compared with analytically obtained reference results.
Collapse
|
4
|
Watkins CM, Barillas SR, Wong MA, Archer DC, Dobbs IJ, Lockie RG, Coburn JW, Tran TT, Brown LE. Determination of Vertical Jump as a Measure of Neuromuscular Readiness and Fatigue. J Strength Cond Res 2018; 31:3305-3310. [PMID: 28902119 DOI: 10.1519/jsc.0000000000002231] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Watkins, CM, Barillas, SR, Wong, MA, Archer, DC, Dobbs, IJ, Lockie, RG, Coburn, JW, Tran, TT, and Brown, LE. Determination of vertical jump as a measure of neuromuscular readiness and fatigue. J Strength Cond Res 31(12): 3305-3310, 2017-Coaches closely monitor training loads and periodize sessions throughout the season to create optimal adaptations at the proper time. However, only monitoring training loads ignores the innate physiological stress each athlete feels individually. Vertical jump (VJ) is widely used as a measure of lower-body power, and has been used in postmatch studies to demonstrate fatigue levels. However, no pretraining monitoring by VJ performance has been previously studied. Therefore, the purpose of this study was to determine the sensitivity of VJ as a measure of readiness and fatigue on a daily sessional basis. Ten healthy resistance-trained males (mass = 91.60 ± 13.24 kg; height = 179.70 ± 9.23 cm; age = 25.40 ± 1.51 years) and 7 females (mass = 65.36 ± 12.29 kg; height = 162.36 ± 5.75 cm; age = 25.00 ± 2.71 years) volunteered to participate. Vertical jump and BRUNEL Mood Assessment (BAM) were measured 4 times: pre-workout 1, post-workout 1, pre-workout 2, and post-workout 2. Workout intensity was identical for both workouts, consisting of 4 sets of 5 repetitions for hang cleans, and 4 sets of 6 repetitions for push presses at 85% 1 repetition maximum (1RM), followed by 4 sets to failure of back squats (BSs), Romanian deadlift, and leg press at 80% 1RM. The major finding was that VJ height decrement (-8.05 ± 9.65 cm) at pre-workout 2 was correlated (r = 0.648) with BS volume decrement (-27.56 ± 24.56%) between workouts. This is important for coaches to proactively understand the current fatigue levels of their athletes and their readiness to resistance training.
Collapse
Affiliation(s)
- Casey M Watkins
- Human Performance Laboratory, Center for Sport Performance, Department of Kinesiology, California State University, Fullerton, California
| | - Saldiam R Barillas
- Human Performance Laboratory, Center for Sport Performance, Department of Kinesiology, California State University, Fullerton, California
| | - Megan A Wong
- Human Performance Laboratory, Center for Sport Performance, Department of Kinesiology, California State University, Fullerton, California
| | - David C Archer
- Human Performance Laboratory, Center for Sport Performance, Department of Kinesiology, California State University, Fullerton, California
| | - Ian J Dobbs
- Human Performance Laboratory, Center for Sport Performance, Department of Kinesiology, California State University, Fullerton, California
| | - Robert G Lockie
- Human Performance Laboratory, Center for Sport Performance, Department of Kinesiology, California State University, Fullerton, California
| | - Jared W Coburn
- Human Performance Laboratory, Center for Sport Performance, Department of Kinesiology, California State University, Fullerton, California
| | - Tai T Tran
- High Performance Centre, Canadian Sport Institute Pacific, Whistler, British Columbia, Canada
| | - Lee E Brown
- Human Performance Laboratory, Center for Sport Performance, Department of Kinesiology, California State University, Fullerton, California
| |
Collapse
|