The effects of strengthening exercises for wrist flexors and extensors on muscle strength and counter-stroke performance in amateur table tennis players

Chanavirut, Raoyrin; Udompanich, Nontawit; Udom, Phraophimon; Yonglitthipagon, Ponlapat; Donpunha, Wanida; Nakmareong, Saowanee; Yamauchi, Juinichiro

doi:10.1016/j.jbmt.2017.02.002

Cited by 9 publications

(6 citation statements)

References 3 publications

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“…Low rates of maximal isometric strength are related to the appearance of symptoms of neuromuscular fatigue that can have a negative influence on correct biomechanical execution, and therefore on technical expression [36]. Maintaining an optimal capacity for this quality can improve players' performance, increasing the speed and power of each technical gesture [37]. Furthermore, it delays fatigue, avoiding unforced errors and maintaining an adequate technical and tactical performance throughout the match [38].…”

Section: Discussionmentioning

confidence: 99%

“…These differences appear to be greater in male players compared to female players [51]. It has been reported that the development of strength in these body segments can improve players' performance, increasing the speed and power of each technical skill [37] as occurs when an offensive style of play is developed. Nevertheless, in this study it has not been possible to perform this type of analysis due to the lack of statistical power, as there are very few players with a defensive style of play.…”

Section: Discussionmentioning

confidence: 99%

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Analysis of Specific Physical Fitness in High-Level Table Tennis Players—Sex Differences

Fuente

Toro-Román

Torre

et al. 2022

IJERPH

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Table tennis performance depends on multiple factors such as technique, tactics and fitness. Several studies have focused on investigating different technical-tactical variables. However, research analysing the specific physical qualities of this sport is scarce, particularly in the female sex. The aim of the present study was to assess the physical fitness variables associated with individual performance in elite table tennis players according to sex. Forty-eight elite players divided into males (n = 24; 25.38 ± 4.01 years) and females (n = 24; 22.33 ± 3.83 years) participated in the study. To determine physical fitness, participants performed vertical jump, hand grip strength, ergospirometry and lateral displacement tests (reaction time, displacement time and lateral acceleration). Male players showed higher values in vertical jump, hand grip strength and maximum oxygen consumption (p < 0.001). Likewise, male players moved laterally faster (p < 0.001). On the other hand, female players had a better reaction time towards the dominant side (p < 0.01). Elite male table tennis players showed better physical fitness compared to female players. Due to the scarcity of data on elite table tennis players, these results can serve as reference values for different table tennis practitioners.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Analysis of Specific Physical Fitness in High-Level Table Tennis Players—Sex Differences

Fuente

Toro-Román

Torre

et al. 2022

IJERPH

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“…Generally, men have a greater height and wingspan compared to women [47]. All of the above allows, at a technical level, the development of more powerful strokes, being able to apply a higher speed of rotation and translation on the ball [48,49].…”

Section: Discussionmentioning

confidence: 99%

Analysis of Technical–Tactical Actions in High-Level Table Tennis Players: Differences between Sexes

Pradas de la Fuente,

Ortega-Zayas,

Toro-Román

et al. 2023

Sports

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Table tennis is a sport played at a high speed; therefore, the technical–tactical variables are very important. The objective of the research is to analyze the technical and tactical characteristics of high-level TT players according to sex. A total of 48 high-level players (24 women and 24 men) participated in the present study. The investigation was carried out during two championships. The matches were recorded and subsequently analyzed by notational analysis. The results indicate that women stroke the ball more times during the rallies. In the men’s competition, the forehand technique predominates over the backhand technique. The flip was the most used in the male sex (p < 0.05). At the tactical level, more winning actions were performed in the men’s competition than in the women’s, both with the forehand and backhand game. Men performed more losing technical actions when using the forehand and backhand flips. The pivot footwork tactical action was higher in the men’s competition. The analysis of the technical–tactical actions highlighted important differences between the sexes. The predominant losing techniques among players are forehand and backhand flip. Female players use more defensive strokes, while male players use more offensive strokes, in particular the flip technique. The potential biomechanical progress of the male player characterized by a larger wingspan biotype could facilitate a better technical–tactical performance. The results obtained are of interest to improve the performance of the players as they must train at a technical–tactical level differently depending on the sex and style of play.

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“…Meghdadi et al (2019) used EMG analysis to investigate differences among players with and without shoulder impingement syndrome in timing and activity intensity in the shoulder girdle muscles when a forehand topspin loop was being performed [ 29 ]. Chanavirut et al (2017) assessed the effects of 6 weeks of training on wrist muscle strength, grip strength, and performance and used EMG as a measure of amateur players’ wrist flexor and extensor muscle conditions [ 30 ]. These studies suggest that EMG signals can be used to analyze players’ performance by indicating muscle activation during play.…”

Section: Introductionmentioning

confidence: 99%

Creating a Scoring System with an Armband Wearable Device for Table Tennis Forehand Loop Training: Combined Use of the Principal Component Analysis and Artificial Neural Network

Liang

Chen

et al. 2021

Sensors

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Background: This study presents an intelligent table tennis e-training system based on a neural network (NN) model that recognizes data from sensors built into an armband device, with the component values (performances scores) estimated through principal component analysis (PCA). Methods: Six expert male table tennis players on the National Youth Team (mean age 17.8 ± 1.2 years) and seven novice male players (mean age 20.5 ± 1.5 years) with less than 1 year of experience were recruited into the study. Three-axis peak forearm angular velocity, acceleration, and eight-channel integrated electromyographic data were used to classify both player level and stroke phase. Data were preprocessed through PCA extraction from forehand loop signals. The model was trained using 160 datasets from five experts and five novices and validated using 48 new datasets from one expert and two novices. Results: The overall model’s recognition accuracy was 89.84%, and its prediction accuracies for testing and new data were 93.75% and 85.42%, respectively. Principal components corresponding to the skills “explosive force of the forearm” and “wrist muscle control” were extracted, and their factor scores were standardized (0–100) to score the skills of the players. Assessment results indicated that expert scores generally fell between 60 and 100, whereas novice scores were less than 70. Conclusion: The developed system can provide useful information to quantify expert-novice differences in fore-hand loop skills.

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The effects of strengthening exercises for wrist flexors and extensors on muscle strength and counter-stroke performance in amateur table tennis players

Cited by 9 publications

References 3 publications

Analysis of Specific Physical Fitness in High-Level Table Tennis Players—Sex Differences

Analysis of Specific Physical Fitness in High-Level Table Tennis Players—Sex Differences

Analysis of Technical–Tactical Actions in High-Level Table Tennis Players: Differences between Sexes

Creating a Scoring System with an Armband Wearable Device for Table Tennis Forehand Loop Training: Combined Use of the Principal Component Analysis and Artificial Neural Network

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