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1.
Sensors (Basel) ; 22(12)2022 Jun 11.
Article in English | MEDLINE | ID: mdl-35746218

ABSTRACT

The purpose of this article is to present the use of a previously validated wearable sensor device, Armbeep, in a real-life application, to enhance a tennis player's training by monitoring and analysis of the time, physiological, movement, and tennis-specific workload and recovery indicators, based on fused sensor data acquired by the wearable sensor-a miniature wearable sensor device, designed to be worn on a wrist, that can detect and record movement and biometric information, where the basic signal processing is performed directly on the device, while the more complex signal analysis is performed in the cloud. The inertial measurements and pulse-rate detection of the wearable device were validated previously, showing acceptability for monitoring workload and recovery during tennis practice and matches. This study is one of the first attempts to monitor the daily workload and recovery of tennis players under real conditions. Based on these data, we can instruct the coach and the player to adjust the daily workload. This optimizes the level of an athlete's training load, increases the effectiveness of training, enables an individual approach, and reduces the possibility of overuse or injuries. This study is a practical example of the use of modern technology in the return of injured athletes to normal training and competition. This information will help tennis coaches and players to objectify their workloads during training and competitions, as this is usually only an intuitive assessment.


Subject(s)
Tennis , Wearable Electronic Devices , Athletes , Humans , Movement , Tennis/physiology , Wrist
2.
PLoS One ; 16(7): e0255339, 2021.
Article in English | MEDLINE | ID: mdl-34324580

ABSTRACT

Wearable sensor systems are a emerging tools for the evaluation of the sport's activity and can be used to quantify the external workload of the athlete. The main goal of this paper was to evaluate the validity and reliability of the "Armbeep inertial measurement unit" (IMU) sensor both in a closed tennis exercise and in open matchplay. Twentyfour junior tennis players performed a baseline drill and played matches, during which they wore a combined accelerometer and gyroscope sensor. Video footage was concomitantly recorded using a digital video camera. The agreement between the measurements was assessed with the intraclass correlation coefficient (ICC) and the standard error of measurement (SEM). A simple linear regression was used to predict the number of shots registered from the video and from the Armbeep IMU sensor's data. The number of total forehand and backhand shots during the drill repetitions showed an excellent test and re-test reproducibility (ICC≥0.90). There was a significant relationship between the Armbeep IMU sensor's number of contacts and the total number of shots (R2 = 0.938) which indicated the excellent reliability of the tested Armbeep IMU sensor for those parameters. Considering the accuracy of the total tennis shots and the small magnitude of error for wrist speed and acceleration, the Armbeep IMU sensor appears to be an appropriate on-court tool that can be used to monitor the hitting load during tennis practice and matches.


Subject(s)
Athletic Performance , Tennis , Acceleration , Biomechanical Phenomena , Humans
3.
J Hum Kinet ; 55: 97-105, 2017 Jan 01.
Article in English | MEDLINE | ID: mdl-28210342

ABSTRACT

The purpose of the study was to determine the timing of a split-step in three categories of tennis players in four groups of strokes. Subjects were divided into three groups: male and female junior, and male professional tennis players. During two tournaments, all matches were recorded with two fixed video cameras. For every stroke, the timing of the split-step between the opponent's impact point when hitting the ball and the player's split-step was measured. A two-way analysis of variance (ANOVA) was used to determine the differences between groups of strokes, players and the interaction Player x Stroke Group. A Tukey post-hoc test was employed to determine specific differences. The results revealed differences between players in detecting the opponent's movement, stroke and ball flight, which were reflected in different split-step timings. Each tennis player has his/her own timing mechanism which they adapt to various game situations. Response times differ significantly depending on the game situation. On average, they are the lowest in the serve, and then gradually rise from the return of the serve to baseline game, reaching the highest values in specific game situations. Players react faster in the first serve than in the second one and in the return of the serve, the response times are lower after the return of the second serve.

4.
J Hum Kinet ; 55: 117-125, 2017 Jan 01.
Article in English | MEDLINE | ID: mdl-28210344

ABSTRACT

This study investigated tennis players' speed before, during and after the split-step, deceleration before and acceleration after the split-step in four different stroke groups in three age categories. Seven male professional, eleven male and ten female junior tennis players were recorded with video cameras at official tournaments. Using the SAGIT system, we gathered data on 8,545 split-steps. Tennis players performed a split-step in 82.9% of cases. A tennis player's speed, deceleration and acceleration were measured 0.2 s before and after the split-step. Differences between categories and stroke groups for each of the five variables were analyzed with a two-way ANOVA. The differences between the groups of players were generally much higher in the speed before, during and after the split-step than in the deceleration before and acceleration after the split-step. Most of these differences were observed between the various stroke groups. These results suggest that players use three types of movement while performing a split-step. In the first type, which is typical of serving and returning, the speed before, during and after the split-step is lower (0.55 to 1.2 m/s). The second type of movement is characteristic of baseline strokes where tennis players achieve higher speed than in the first type (0.7 to 1.66 m/s). The third type occurs in strokes where a tennis player is moving or already at the net (0.78 to 1.9 m/s). Movement in tennis is an area that requires constant development in terms of designing and upgrading movement patterns, increasing speed and practice in specific game situations.

5.
Int. j. morphol ; 34(3): 890-895, Sept. 2016. ilus
Article in English | LILACS | ID: biblio-828958

ABSTRACT

Tennis is a sport that requires asymmetric movements of dominat limbs and may lead to an asymmetric distribution of muscle mass. The main aim of the presented study was to determine the volume and degree of lateral asymmetry of the upper and lower limbs in youth tennis players using a bioelectrical impedance analysis. T-test was applied to find differences between the dominant and non-dominant arm and the right and left leg and thigh in four age categories. There were no significant differences between the right and left leg lean mass in the 12 and under, 14 and under and 16 and under age groups, but there were significant differences between the dominant and non-dominant arm lean mass and arm circumferences in all four age groups. All young tennis players had greater lean mass and arm circumferences of the dominant limb. Tennis players in the 18 and under group had higher average values of right leg lean mass and the differences are statistically significant. There were significant differences between right and left thigh circumferences in all age groups. Findings show that it is possible with such a simple, non-invasive and quick procedure as bioelectrical impedance to determine asymmetry in tennis players.


El tenis es un deporte que requiere movimientos asimétricos de los miembros dominantes y puede conducir a una distribución asimétrica de la masa muscular. El objetivo fue determinar el volumen y grado de asimetría lateral de los miembros superiores e inferiores en tenistas juveniles utilizando un análisis de impedancia bioeléctrica. Se aplicó la prueba T para encontrar diferencias entre el brazo dominante y no dominante y las piernas y muslos derecho e izquierdo en cuatro categorías de edad. No hubo diferencias significativas en la masa magra de las piernas derecha e izquierda en los grupos de edad: 12 y menor, 14 y menor, y 16 y menor. Sin embargo, hubo diferencias significativas en la masa magra de las circunferencias de los brazos dominante y no dominante en los cuatro grupos de edad. Todos los jugadores jóvenes de tenis tenían mayor masa magra en las circunferencias de los brazos del miembro dominante. Los jugadores de tenis en el grupo de 18 años y menor, tenían valores medios más altos de masa magra de la pierna derecha, con diferencias estadísticamente significativas. No hubo diferencias significativas entre las circunferencias de los muslos derecho e izquierdo en todos los grupos de edad. Los resultados muestran que es posible determinar con un procedimiento simple no invasivo y rápido, como la impedancia bioeléctrica, la asimetría en jugadores de tenis.


Subject(s)
Humans , Male , Child , Adolescent , Electric Impedance , Lower Extremity/anatomy & histology , Tennis , Upper Extremity/anatomy & histology , Age Factors
6.
Coll Antropol ; 39 Suppl 1: 109-16, 2015 Jul.
Article in English | MEDLINE | ID: mdl-26434018

ABSTRACT

The aim of the study was to analyses the relation between the selected speed, agility, and neuromuscular power test items. The sample of subjects consisted of 154 male and 152 female young tennis players. Using six motor and three anthropometrical tests we investigate differences between males and females and between two age categories. Finally, we analyzed the relation between motor and anthropometrical tests and a player's tennis performance. The correlation between the two agility test items and 5-m sprint is very large in male players, while only moderate with 20-m sprint in female category. Male tennis players have higher correlations between speed test items and neuromuscular test items. The speed test item (5-m sprint) has large correlation with a player's tennis performance. One-way analysis of variance results indicated that young male tennis players performed significantly better than females in all motor test items. Significant differences between genders have not been revealed only in the body mass index. Differences between the males aged 18& under and 16& under have been noted as significant in all test items, except the vertical jump, while differences between the females have been noted as significant in three anthropometrical tests, quarter jump, and the fan-drill test. Regression analyses have shown that the system of prediction variables explains a relatively small part of variance (46%--males and 40%--females). In both genders, it has been revealed that test items measuring speed significantly influence a player's tennis performance.


Subject(s)
Athletic Performance/physiology , Physical Fitness/physiology , Tennis/physiology , Adolescent , Anthropometry , Body Mass Index , Female , Humans , Male , Regression Analysis
7.
J Sports Sci Med ; 12(2): 354-61, 2013.
Article in English | MEDLINE | ID: mdl-24149816

ABSTRACT

This article discusses the relationship between success of professional male tennis players according to the country and world region from which they originate and the professional tournament structure in men's tennis in that world region and country. The success of a country or world region was defined by the number of players in the top 300 ATP rankings and was calculated for seven time periods between 1975 and 2008. The results showed the correlations between the total number of top 300 ranked players, the total number of tournaments, and the annual tournament prize money of the specific country. The correlations were nearly perfect in the 1975-1990 period (r = 0.93-0.95; p < 0.01) but only high in the 2005-2008 period (r = 0.60-0.64; p < 0.01), suggesting that the association between the number of top 300 ranked tennis players and professional tournaments, while still significant, is in decline. These data should inform the policy and investment decisions of regional and national federations, particularly as they relate to domestic professional tennis tournament structures and to explore opportunities to include professional tournaments of neighbour countries in their player's development programs. Key PointsThis paper observes relation changes between the total number of players, total number of ATP tournaments and total annual prize money in particular continents from 1975 to 2008.The correlation between the tennis success, total number of tournaments and total annual prize money in tournaments was highest from 1975 to 1989 and was gradually decreasing from 1990 to 2008.The leading tennis countries organise over 20 ATP tournaments and entry professional tournaments per year. Tennis less developed countries very often is using the competition systems of the most successful tennis countries.Indications are that tennis will continue to become increasingly global and that this trend may be unlikely to reverse.

8.
Int. j. morphol ; 30(4): 1558-1568, dic. 2012. ilus
Article in English | LILACS | ID: lil-670180

ABSTRACT

Several studies have examined both physical characteristics and fitness of children and youth. The aim of the study was first, to find the tendency of changes in selected morphological characteristics of young male and female tennis players of various ages in the periods 1992-2000-2008; and second, to find the changes in selected variables of young tennis players and to compare them with the results of boys and girls of same age from normal school population. Sample of variables included body height, body weight and body mass index (BMI). Multivariate analysis of variance revealed statistically significant differences in all main factors (group, age, gender and period) and additionally in interactions group*period, group*gender and age*gender. Univariate analysis of variance revealed statistically significant differences in body height and BMI between the groups of tennis players and the same age school population for both sexes and between three age groups (12-13 years, 14-15 years, 16-17 years) for body height, body weight and BMI. Differences between the sexes indicate statistically significant differences only in variables body height and weight. Changes in the observed morphological characteristics point to the increase in body height, body weight and BMI values in both school population and young tennis players.


Diversos estudios han examinado las características y estado físico de niños y jóvenes. El objetivo de este estudio fue encontrar la tendencia de los cambios para determinadas características morfológicas de jóvenes tenistas (hombres y mujeres) de distintas edades, en los períodos 1992-2000-2008. Además, encontrar cambios en las variables seleccionadas de jugadores de tenis jóvenes y compararlos con los resultados de niños y niñas de la misma edad en la población escolar normal. Las variables de la muestra incluyeron altura y peso corporal e índice de masa corporal (IMC). El análisis multivariado de varianza reveló diferencias estadísticamente significativas en todos los factores principales (grupo, edad, sexo y periodo) y, además, en las interacciones de grupo-período, grupo-edad y grupo-sexo. El análisis univariado de varianza reveló diferencias estadísticamente significativas en la altura corporal e IMC entre los grupos de jugadores de tenis y la misma población en edad escolar para ambos sexos y entre los tres grupos de edad (12-13 años, 14-15 años, 16-17 años) para altura y peso corporal e IMC. Las comparación entre sexos indican diferencias estadísticamente significativas sólo en las variables altura y peso corporal. Los cambios en las características morfológicas observadas señalan un aumento de la altura y peso corporal e IMC tanto en la población escolar como en los jóvenes jugadores de tenis.


Subject(s)
Humans , Male , Female , Child , Adolescent , Body Height , Body Weight , Tennis , Time Factors , Body Mass Index , Multivariate Analysis , Age Groups
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