Strength Training and Development in Competitive Speed Skating

Stuart, Andrew; Cochrane-Snyman, Kristen C.

doi:10.1519/ssc.0000000000000663

Cited by 3 publications

(2 citation statements)

References 48 publications

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“…As an illustrative example, if an athlete had a relatively lower P Max and MAC but a higher MSS, interventions to target early acceleration capacity or the run-phase transition could be applied. Typical training strategies to address this capacity include technical interventions, performing resisted starts on-ice, or targeted off-ice training including the use of plyometrics, strength training, and sprinting (19,32). Given the good reliability, model parameters could be used as a component of routine athlete monitoring to track progression over time.…”

Section: Discussionmentioning

confidence: 99%

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Modeling the Early and Late Acceleration Phases of the Sprint Start in Elite Long Track Speed Skaters

Zukowski,

Herzog,

Jordan

2023

Journal of Strength and Conditioning Research

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Zukowski, MH, Jordan, MJ, and Herzog, W. Modeling the early and late cceleration phases of the sprint start in elite long track speed skaters. J Strength Cond Res XX(X): 000–000, 2023—This study established the reliability of an exponential function to model the change in velocity during the speed skating sprint start and the validity of associated model parameters in a group of subelite and elite long track speed skaters. Long track speed skaters (n = 38) performed maximal effort 50-m on-ice accelerations from a standing start while tethered to a horizontal robotic resistance device that sampled position and time data continuously. An exponential function was applied to the raw data to model the change in velocity throughout the acceleration phase and compute the maximal skating speed (MSS), maximal acceleration capacity (MAC), maximum relative net horizontal power (P Max), and an acceleration-time constant (τ). All constructed models provided a sufficient fit of the raw data (R-squared > 0.95, mean bias <2%). Intraday reliability of all model parameters ranged from good to excellent (intraclass correlation coefficient >0.8 and coefficient of variation <5%). Strong negative correlations (r: −0.72 to −0.96) were observed between MSS and P Max and the 10 and 20 m split times measured with the robotic resistance and with 100 split times obtained from 500 m races. Moderate-to-large between-group differences were observed in MSS, MAC, and P Max between the elite vs. subelite speed skaters (Cohen d effect sizes: 1.18–3.53). Our results indicate that monoexponential modeling is a valid and reliable method of monitoring initial acceleration performance in elite level long track speed skaters.

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Section: Discussionmentioning

confidence: 99%

“…As an illustrative example, if an athlete had a relatively lower P Max and MAC but a higher MSS, interventions to target early acceleration capacity or the run-phase transition could be applied. (19,32). Given the good reliability, model parameters could be used as a component of routine athlete monitoring to track progression over time.…”

Section: Discussionmentioning

confidence: 99%

Modeling the Early and Late Acceleration Phases of the Sprint Start in Elite Long Track Speed Skaters

Zukowski,

Herzog,

Jordan

2023

Journal of Strength and Conditioning Research

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A Wireless Intelligent Motion Correction System for Skating Monitoring Based on a Triboelectric Nanogenerator

Wen

Yang

et al. 2023

Electronics

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Smart sport and big data have become inextricably linked with new technologies and devices to monitor sport-related information in real time. In this paper, a lightweight, portable and self-powered triboelectric nanogenerator (LPS-TENG) has been developed to monitor the frequency and force of skaters’ pedaling. Friction layers are formed of polytetrafluoroethylene (PTFE) and nylon films. Based on the triboelectric effect, LPS-TENG does not require an external power supply, and it can be used to monitor biomechanical motion independently. Under the conditions of 1 Hz and 17.19 N, the outputting voltage of LPS-TENG is stabilized at 14 V. Wireless data transmission is achieved with the help of the LPS-TENG and AD module. Visual feedback is provided by the upper computer system in the process of processing data. The wireless intelligent motion correction system is composed of an LPS-TENG, an AD module and a back-end computer. It can clearly analyze the changes between different frequencies and forces during skating. Results showed that the signal of tester’s high-frequency and great-force motion, was transmitted to the computer, and its feedback was given after analysis and processing successfully. The system may help coaches develop training methods, means and tactics to increase athletes’ performance and competitive level in athletic sport. The purpose of this study is to provide new ideas for monitoring skaters’ sport techniques, promote the use of force sensors in the monitoring of sport and develop intelligent assistant training systems.

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Effect of lower body, core and upper body kinematic chain exercise protocol on throwing performance among university shot put athletes: A pilot study

Kumar,

Altaim,

Subramanian

et al. 2023

Fiz Pol

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A coordinated sequence of movements is required to generate maximum power and velocity in shot put. Kinematic chains emphasize the interactions between various body segments during a movement. They suggest that force production and transfer are optimized by coordinating multiple joints and muscle groups. In previous research, the kinematic chain has been attributed to shot put performance. Few studies have examined the effects of a comprehensive kinematic chain exercise protocol on throwing performance among shot put athletes, particularly at universities. Pilot study investigating lower body, core, and upper body kinematic chain exercise protocol on university shot put athletes' throwing performance. A total of twenty-four young athletes specializing in shotput, with an average age of 19.87 years and a standard deviation of 1.31 years, were divided into two groups, namely the experimental group and the control group, using a random assignment method, the experimental group, consisting of 12 participants, underwent an 8-week kinematic chain training program alongside their regular training sessions. On the other hand, the control group, also consisting of 12 participants, only participated in their regular training sessions without any additional intervention. Pre- and post-training assessments were conducted to measure shotput throwing performance, preference for throwing style, and the participants' satisfaction with the exercise protocol, using a questionnaire. The athletes who took part in the kinematic chain program demonstrated a significant improvement in throwing distance compared to the control group (p = 0.01). Additionally, the athletes in the experimental group reported higher levels of satisfaction with the exercise protocol (p = 0.005). These findings indicate that incorporating an 8-week Lower Body, Core and Upper Body kinematic chain exercise protocol into regular training sessions can lead to more pronounced improvements in sport-specific throwing performance among young shotput athletes.

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Strength Training and Development in Competitive Speed Skating

Cited by 3 publications

References 48 publications

Modeling the Early and Late Acceleration Phases of the Sprint Start in Elite Long Track Speed Skaters

Modeling the Early and Late Acceleration Phases of the Sprint Start in Elite Long Track Speed Skaters

A Wireless Intelligent Motion Correction System for Skating Monitoring Based on a Triboelectric Nanogenerator

Effect of lower body, core and upper body kinematic chain exercise protocol on throwing performance among university shot put athletes: A pilot study

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