Characteristics Of Athletes Research Articles

Association Between Body Composition And Physical Fitness Characteristics In Male High School Lacrosse Athletes

Association Between Body Composition And Physical Fitness Characteristics In Male High School Lacrosse Athletes

Training characteristics and performance of two male elite short-distance triathletes: From junior to "world-class".

The sports-science literature lacks data on training and performance characteristics of international elite athletes over multiple seasons. The present case study provided general training characteristics and performance data of two male short-distance triathletes in the Junior, U23, and international Elite categories. General training and performance data of two male elite triathletes were described in swimming, cycling, and running segments from the 2015 to 2022 season. The training load was presented using the ECO model while the training intensity distribution (TID) was a triphasic model. Both triathletes increased their performance throughout the seasons. Triathlete A increased his VO2max in cycling by 20.6%, in running by 16.7%. His power at VO2max and his speed at VO2max by 18.9% and 11.0%, respectively. Triathlete B improved his VO2max by 17.8% in cycling, by 16.1% in running and his power at VO2max by 24%, and his speed at VO2max by 14.3%. The triathletes trained on average 14-17 h a week. The TID model was polarized. To achieve the top international level, it is necessary to consider the following measures: training load progression; improvements in physiological variables; and participation in international events starting from youth categories.

Structure of the training process of highly qualified sprinters with visual impairments

The article is devoted to the analysis of scientific and methodological literature on the problem of the structure of the training process of highly-qualified athletes with visual impairments. Over the past decades, Paralympic sports have shown a tendency to transfer the theoretical and methodological foundations of the training of Olympic athletes to disabled sports, which leads to the neglect of psychological, functional and morphological characteristics of Paralympic athletes. in the scientific and methodological literature, there are no studies aimed at studying the peculiarities of the structure of the training process of Paralympic athletes with visual impairments who have different sports qualifications. Information about highly qualified visually impaired athletes is fragmentary and isolated. Summarization literary sources shows that most of them are devoted to separate aspects of training and functional classification of paralympians. As a result of the study, the physiological features of athletes with visual impairments were revealed: low level of development of strength endurance, coordination and speed qualities, high energy expenditure during the performance of a motor task and rapid fatigue; inconsistency of circadian rhythms with changes in the activity of their body, which should be taken into account in the process of training people with visual impairments. It has been established that most coaches in the training process of sprinters with visual impairments are guided by the basic provisions of training athletes without visual impairments. The analysis of modern literature has shown the specificity of the organization of the training process of sprinters at various stages of training.

Profil Somatotipe Atlet Bola Voli Pekalongan

The aim of this research was to present a description of the somatotipes of volleyball players in Pekalongan Regency. This research was a descriptive study using a one shoot model approach. Data collection techniques used anthropometric tests and measurements. There were 10 components measured, namely weight measured using a digital scale, height measured using a stadiometer, thickness of fat on the triceps, subscapular, suprailiac, and calves measured using a skinfold caliper, width of the femur and humerus bones measured using a sliding caliper, circumference forearms and calves as measured using the medline. The sample in this study were 24 volleyball athletes in Pekalongan Regency, with details of 12 male players and 12 female players who were active and recorded in the Pekalongan Regency PBVSI management. The data analysis technique was in the form of descriptive analysis techniques with percentage presentation. The results in this study showed that seven athletes (29.2%) had an endomorphic mesomorph body, seven athletes (29.2%) had a mesomorphic-endomorph body type, four athletes (16.7%) had a mesomorph-endomorph body type, two athletes (8.3%) had central body type, and the other types had similar percentage (4.2%). It can be concluded that most male athletes have an endomorphic-ectomorph body type, while most female athletes have a mesomorphic-endomorph body type. The diversity of somatotipe characteristics of ball athletes were be influenced by several factors such as genetic factors, nutrition intake, environment and ethnic background.

Analysis of Relationship Between Foot Morphology and Static Balance in Female Athletes

This study was conducted to investigate the relationship between the morphological structure of the foot and female athletes’ static balance levels. 51 female athletes with an average age of 22.25±0.38 years participated in the research. The foot morphology was evaluated in 4 parameters. Balance scores were evaluated in 8 parameters. Spearman and Pearson correlation tests were used to determine the relationship between parameters (p<05). According to the results, it was observed that in the right foot there was a negative significant correlation between foot index (FI) parameter and standard deviation of forward and backward sway (FBSD), average forward backward speed (AFBS), used perimeter (P), used area (A) balance scores. In the left foot, there was a positive correlation between the FI parameter and the pressure to the average central y axis (COPY) balance score, and a negative significant relationship between the FI parameter and the FBSD and AFBS balance scores. It was determined that there was a positive significant correlation between the Chippaux Smirak index (CSI) and Staheli index (SI) parameters of both feet and the pressure to the average central x point (COPX) balance score. The results can be interpreted that the anatomical structure of the foot is important in the static balance characteristics of athletes.

Energy constraint and compensation: Insights from endurance athletes

The Constrained Model of Total Energy Expenditure predicts that increased physical activity may not influence total energy expenditure, but instead, induces compensatory energetic savings in other processes. Much remains unknown, however, about concepts of energy expenditure, constraint and compensation in different populations, and it is unclear whether this model applies to endurance athletes, who expend very large amounts of energy during training and competition. Furthermore, it is well-established that some endurance athletes consciously or unconsciously fail to meet their energy requirements via adequate food intake, thus exacerbating the extent of energetic stress that they experience. Within this review we A) Describe unique characteristics of endurance athletes that render them a useful model to investigate energy constraints and compensations, B) Consider the factors that may combine to constrain activity and total energy expenditure, and C) Describe compensations that occur when activity energy expenditure is high and unmet by adequate energy intake. Our main conclusions are as follows: A) Higher activity levels, as observed in endurance athletes, may indeed increase total energy expenditure, albeit to a lesser degree than may be predicted by an additive model, given that some compensation is likely to occur; B) That while a range of factors may combine to constrain sustained high activity levels, the ability to ingest, digest, absorb and deliver sufficient calories from food to the working muscle is likely the primary determinant in most situations and C) That energetic compensation that occurs in the face of high activity expenditure may be primarily driven by low energy availability i.e., the amount of energy available for all biological processes after the demands of exercise have been met, and not by activity expenditure per se.

Prevalence and incidence of health problems and their characteristics in Brazilian para athletes: A one-season single-center prospective pilot study

BackgroundPara athletes experience high prevalence and incidence of health problems related to sport. Despite this, there are few longitudinal studies. ObjectiveTo describe the characteristics, prevalence, incidence, and severity of health problems in para athletes from one of the Brazilian Paralympic Reference Centers during a sports season and to compare the prevalence of health problems between para athletics, para powerlifting, and para swimming. MethodsThis prospective pilot study was conducted from October 2019 to March 2020. The Oslo Sports Trauma Research Center Questionnaire on Health Problems was used to record injuries and illnesses every week for 24 weeks. The characteristics, prevalence, incidence, and severity of health problems were described for each modality. The prevalence of health problems was compared among the three sport modalities. ResultsThirty-five para athletes participated. Most of the injuries occurred in the shoulder, and most illnesses caused respiratory and gastrointestinal symptoms. The average weekly prevalence and the incidence rate of health problems were 40.6% (95% CI 17.0–64.4) and 12.7 (95% CI 9.6–15.9) per 1000 athlete hours, respectively. Para powerlifting had the highest prevalence of all and substantial health problems; para swimming had the lowest prevalence of injuries; and para athletics had the lowest prevalence of illnesses. ConclusionsThis group of Brazilian para athletes showed a high prevalence and incidence of health problems throughout the season. Para athletics, para powerlifting, and para swimming each had a different prevalence of injuries and illnesses.

Determining the effect and magnitude of advanced footwear technology on female distance running performance

There is limited work, to date, in which the potential performance-enhancing effects of Advanced Footwear Technology (AFT) in the female elite athlete has been considered. This study aimed to retrospectively explore publicly available race data for a marathon, half-marathon, and 10-km elite events to analyse the effect of AFT, along with athlete and event characteristics, to determine the effect on female running performance. Race performance times for the top 20 female athletes within the world were extracted from 1990 to 2020 (n = 1722), along with athlete and event characteristics from 2010 to 2020 (n = 660). Data for race shoes were available for 655 of the 660 performances. The changes in grouped mean performance times over the years that AFT had been adopted were compared with the grouped mean of the corresponding number of years immediately prior show marathon, half-marathon, and 10-km performance times were 1.7, 1.72, and 1.75% (p < 0.001, pη2 > 0.220) faster during the AFT period. Repeated performance analysis comparing the improvement in race times between the control group and athletes who adopted AFT showed athletes who adopted AFT improved significantly more over the marathon (2.64%, p < 0.001) and half-marathon (1.67%, p < 0.002). Advanced Footwear Technology correlated (r > 0.50) with improvements in the marathon and half-marathon, but not the 10-km. Based on multiple regression modelling, it can be suggested that wearing AFT improves marathon race time by 78 s (0.93%), and half-marathon race time by 28 s (0.71%). Based on these results, we observe a small but meaningful performance-enhancing effect of AFT within elite female athletes.

Athlete body fat rate monitoring and motion image simulation based on SDN data center network and sensors

With the development of artificial intelligence technology, new software is also emerging in an endless stream. On the basis of sensors, the new software realizes the separation of network control layer and data layer, thereby improving network throughput and link utilization. With the gradual maturity of deep reinforcement learning technology, the redefined network architecture can be managed and controlled through software, making the network evolve toward a more intelligent direction. By providing data support for the intelligent control of the network, the network controller can obtain the data transmission status in real time, so that more ideas can become reality. Now, on the basis of motion sensors, through data fusion technology, athletes' physical conditions can be planned more effectively, so as to achieve scientific management and reasonable planning, obtain more accurate body fat rates, and customize corresponding data flow routing strategies., To achieve the combination of technology and technology. This paper proposes a scheduling strategy based on machine learning, combining the reinforcement learning algorithm in machine learning and deep reinforcement learning algorithm, setting the key factors of reinforcement learning, and applying it to real-time sports images of athletes, combining the sports characteristics of athletes, Set the action and reward value. Then use the algorithm to allocate a reasonable path for data transmission according to the real-time status to reduce network delay. This article will use sensor technology and data center network to provide a new method for athletes' real-time motion images and body fat percentage.

Training Modifications in Endurance Athletes Due to COVID-19 Restrictions

The aim of this study was to determine which characteristics of recreational, collegiate, and professional endurance athletes were associated with training changes due to COVID-19 safety restrictions. A Qualtrics survey was distributed to endurance athletes around the world from June 2020 to February 2021. Significant differences between athlete characteristics and changes in training status were determined using a Chi-squared test (significance p &lt; 0.05). Approximately 66% of the 331 endurance athletes changed their training due to restrictions. Significant group differences were found for age, sex, prior coaching status, prior use of a training program, and athlete primary sport compared to the whole sample. Understanding these factors may allow athletes/coaches to approach training in a different way to help minimize or prevent the effects of detraining for a greater portion of athletes should a COVID-19 variant or any other pandemic emerge in the future.

Sensor-based cloud computing data system and long distance running fatigue assessment

Wireless sensor networks are widely used in sports training, medical and health care, smart home, environmental monitoring, cloud data and other fields because of their large scale, self-organization, reliability, dynamic, integration and data centralization. Based on this point, this article conducts a comprehensive analysis and research on cloud computing data systems, and designs and implements a dynamic replication strategy. Since different users have different demands for different data at different times, it is necessary to record and analyze recent users' data access, so as to actively adjust the number and location of data blocks. Subsequently, a multi-source blockchain transmission method was proposed and implemented, which can significantly reduce the time cost of data migration and improve the overall performance of cloud storage data systems. Finally, the article provides an in-depth analysis of long-distance running fatigue. This study will design a simulated specialized exercise load experiment to reproduce the load characteristics of excellent athletes during mid to long distance running, in order to induce exercise fatigue in the main muscles of different parts of their bodies. At the same time, the amplitude frequency joint analysis of the surface changes of EMG signal in this process is carried out. This article conducts research on sensor based cloud computing data systems and long-distance running fatigue assessment, promoting the development of cloud computing data systems and improving long-distance running fatigue assessment methods.

Anthropometric characteristic, somatotype, and body composition of Indian Female Combat Sport Athletes: A comparison between Boxers, Judokas, and Wrestlers

Introduction: The aim of this study was:1) to ascertain the anthropometric characteristics of Indian female combat athletes and 2) to determine and compare the sport-specific (boxing, judo, and wrestling) somatotype of Indian female combat athletes. Method: Ninety-nine national level female combat sports athletes (40 Boxers, 25 Judokas, and 34 Wrestlers who regularly compete in national and/or international competitions, took part in the study. Anthropometric measurements were performed for body mass, stature, 7 skinfold sites, 3 girths, and 2 breadths. Somatotypes for all subjects were also calculated. All measurements were statistically analyzed using pairwise comparison analysis and differences between groups were also compared. Results: Significant differences between boxing and judo for the mean value of BMI. Pairwise comparison analysis revealed significant differences in the mesomorphy component between boxing and judo (p = 0.001; 95% CI: -1.83 – -0.40) and between boxing and wrestling (p = 0.001; 95% CI: -1.69 – -0.39); as well as in the ectomorphy component between boxing and judo (p = 0.009; 95% CI: 0.16 – 1.35) and between boxing and wrestling (p = 0.007; 95% CI: 0.17 – 1.25). Conclusion: There are significant differences in anthropometric characteristics when analyzing the somatotype of Indian female combat athletes which could be attributed to the specific demands of each sport. Sport-specific training programmes that consider the anthropometric characteristics and somatotype of female athletes participating in Boxing, Judo and Wrestling should be considered by practitioners and coaches.

THE INFLUENCE OF THE AUTHOR'S TRAINING PROGRAM ON THE QUALITY OF LIFE OF ATHLETES WITH DISABILITIES IN POWERLIFTING

The lack of scientifically based training programs in accordance with the nosological characteristics of athletes in powerlifting leads to the introduction into the practice of adaptive sports of not adapted approaches to the training of powerlifters, which has a negative impact on the health and quality of life of people with disabilities. The aim of the study is to identify the degree of impact of the author's training program on the quality of life of powerlifters with disabilities at the stage of initial training. Method and methodology of work. To solve this goal, the analysis and generalization of scientific and methodological literature was used; pedagogical testing; pedagogical experiment; methods of mathematical statistics. The study was conducted with the involvement of 20 athletes with visual impairments and 20 people with musculoskeletal injuries. Results. Analysis of the results of the survey using SF-36 powerlifters of different nosological groups before and after the experiment confirms that after the implementation of the author's program at the stage of initial training there was an increase in their quality of life. Among the athletes of the experimental groups, reliable indicators of quality of life growth were found in all scales. In athletes with injuries of the musculoskeletal system of the control group, a significant improvement in quality of life is available on six scales out of ten, and among people with visual impairments in the control group, no reliable indicators of growth were found. The obtained results confirm that the effectiveness of the author's training program for powerlifters of different nosological groups is much higher than the effectiveness of the standard training program. Conclusions. A statistically significant increase in quality of life indicators may indicate the possibility of reducing the negative impact of lost functions and quality of life of athletes with disabilities through powerlifting and the effectiveness of the author's training program for powerlifters of different nosological groups at the initial stage.

Physical Condition of Archery Athletes: Geographic and Demographic

This study aimed to investigate the ability of the physical condition of PORPROV XIV athletes in archery in the KONI CIMAHI environment from demographic and geographical characteristics. The research method used was a quantitative descriptive method with a survey approach. The sample in the study was 16 athletes consisting of 8 female athletes and 8 male athletes with athlete characteristics in terms of gender, athlete age, domicile, and parental income. The sampling technique used is to use the saturated sample technique. Research instruments include yoyo tests to measure aspects of endurance; vertical jump test kits to measure limb power, to examine speed (speed) using a maximum speed of 30 meters and Sit and rich to examine flexibility. The results of this study are to have an average score of physical condition where athletes who are male (510.09), female (498.91), athletes living in rural areas (504.67), Urban (492.20), athletes with parental income of Rp. 71,200-Rp. 144,220 / day (517.81), &gt;Rp.288,400 / day (516.32), Rp. 28,480-Rp. 56,960 / day (497.47), Rp. 158,620-Rp.288,400 / day (477.03), athletes aged 13-16 years (479.39), 17-20 (523.58), 17-24 (516.87), 28-30 (474.20). Thus, in this study, there is an average amount of different physical conditions of each KONI Cimahi archery athlete competing in the PorProv XIV West Java event in terms of gender, age, parental income, and domicile area. Keywords: Physical Condition, Archery, Age, Gender, Parental Income, Rural and Urban

Physical characteristics analysis of judo athletes based on multiple regression equation

Abstract Judo is a skills-led sport, which has higher requirements on the athletes’ skills, physical ability, intelligence and psychology, but the athletes’ physical characteristics are still the basis of competitive ability. In this article, 107 male judo athletes were selected as the investigation object, their body shape indexes and some physical quality indexes were measured, the independent sample multiple regression method and T-test were applied to compare and analyze the elite and non-elite athletes, the youth and adult athletes, and the standardized typical discriminant function of athletes’ sports grade was established by stepwise discriminant analysis. Thus, we have a comprehensive understanding of the physical characteristics of the men's judo athletes and provide a reliable basis for the training and selection of basic coaches.

English

Anabolic-Androgenic Steroids (AAS) are synthetic forms of male sex hormone used by athletes as performance enhancement drugs. The study aimed to assess the characteristics of university student athletes that use AAS and other substances they use. It also assessed their knowledge of the health effects of AAS and their attitude towards use of AAS. Cross-sectional study was conducted among 157 student athletes from December, 2019 to January, 2020 at the Obafemi Awolowo University in Nigeria. Purposive sampling technique was used to select participants, while a self-reported questionnaire was used for data collection. Descriptive and inferential (Chi-square test and Logistic regression) statistical analysis were carried out. Findings showed that many users of AAS were males (85%), undergraduates (92%), involved in court sports (69%), and were from the Faculty of Arts (27%). A significant difference was found between types of sports and the use of AAS (x2 = 11.3, p = 0.05). The logistic regression model showed that females athletes have 56.9% lower odds of using AAS than the male athletes (OR = 0.431; 95% CI = 0.135-1.379) while those in the weightlifting sport will 7 times more likely to use AAS than those in the track and field event sport. Some of the athletes that used AAS also reported they consume Marijuana (35%), alcohol (27%), among other substances. No significant difference existed between the knowledge and attitude of those who used and did not use AAS (p &gt; 0.05). The use of AAS among athletes in the Nigerian University is still a common practice and efforts should be intensified to reduce the incidence. Key words: Athletes, attitude, knowledge, anabolic androgenic steroids, use

Advanced glycation endproducts and dicarbonyl compounds are not associated with coronary atherosclerosis characteristics in middle-aged and older male athletes

Abstract Funding Acknowledgements Type of funding sources: Foundation. Main funding source(s): Dutch Heart Foundation. Background Cardiovascular disease is the leading cause of mortality worldwide and is dominated by coronary atherosclerosis. Moreover, coronary atherosclerosis is the most common cause of sudden cardiac death among athletes and current screening methods lack sufficient accuracy for identifying individuals at high risk. Advanced glycemic end products (AGEs) and dicarbonyl stress markers are generated during normal metabolism and aging, but increase in the presence of hyperglycemia, oxidative stress and inflammation. Several studies have demonstrated that higher concentrations of AGEs in plasma predict both the presence and severity of coronary atherosclerosis, as well as mortality. AGEs and its dicarbonyl precursors in atherosclerotic plaques have also been demonstrated to predict rupture-prone phenotypes. Plasma AGEs and dicarbonyl precursors might be a novel way to screen for high-risk coronary atherosclerosis in middle-aged and older athletes. Purpose To assess the association between plasma AGEs and dicarbonyl compounds with the presence of coronary plaques, plaque characteristics and coronary artery calcification scores in a population of middle-aged and older amateur athletes. Methods We measured concentrations of AGEs and dicarbonyl stress markers in plasma with dilution ultra-performance liquid chromatography tandem mass spectrometry in middle-aged and older athletes from the Measuring Athletes’ Risk of Cardiovascular Events (MARC) 2 study cohort. Coronary plaques, predominating plaque characteristics (&amp;gt;50% calcified, non-calcified, or mixed plaque composition), and coronary artery calcification scores were assessed using coronary computed tomography. We explored associations with linear and logistic regression analyses and compared groups with the Mann-Whitney U and Kruskal-Wallis tests, while correcting for multiple testing. Results 284 men were included with a median age of 60 [56-66] years, body mass index of 24.5 [22.9-26.7] kg/m2, and an average weekly exercise volume of 41 [26-57] Metabolic Equivalent of Task-hours. Coronary plaques were detected in 241 participants (83%), with calcified, non-calcified, and mixed plaques constituting &amp;gt;50% of plaques in 42%, 12%, and 21%, respectively. Median CAC score was 31 [0-132]. None of the AGEs or dicarbonyl stress markers were associated with presence of plaques, any of the plaque characteristics (Figure 1), or coronary artery calcification score categories (Figure 2) in adjusted analyses (P&amp;gt;0.05). Conclusion Concentrations of AGEs and dicarbonyl stress markers could not be used to identify coronary plaques, different plaque characteristics or coronary calcifications in this cohort of middle-aged and older athletes. These findings suggest that AGEs and dicarbonyl stress markers cannot be used as a screening method for high-risk coronary atherosclerosis.

Characteristics of changes in the functional status of the brain before and after 1,000 m all-out paddling for different levels of dragon boat athletes.

Dragon boat is a traditional sport in China, but the brain function characteristics of dragon boat athletes are still unclear. Our purpose is to explore the changing characteristics of brain function of dragon boat athletes at different levels before and after exercise by monitoring the changes of EEG power spectrum and microstate of athletes before and after rowing. Twenty-four expert dragon boat athletes and 25 novice dragon boat athletes were selected as test subjects to perform the 1,000 m all-out paddling exercise on a dragon boat dynamometer. Their resting EEG data was collected pre- and post-exercise, and the EEG data was pre-processed and then analyzed using power spectrum and microstate based on Matlab software. Post-Exercise, the Heart Rate peak (HR peak), Percentage of Heart Rate max (HR max), Rating of Perceived Exertion (RPE), and Exercise duration of the novice group were significantly higher than expert group (p < 0.01). Pre-exercise, the power spectral density values in the δ, α1, α2, and β1 bands were significantly higher in the expert group compared to the novice group (p < 0.05). Post-exercise, the power spectral density values in the δ, θ, and α1 bands were significantly lower in the expert group compared to the novice group (p < 0.05), the power spectral density values of α2, β1, and β2 bands were significantly higher (p < 0.05). The results of microstate analysis showed that the duration and contribution of microstate class D were significantly higher in the pre-exercise expert group compared to the novice group (p < 0.05), the transition probabilities of A → D, C → D, and D → A were significantly higher (p < 0.05). Post-exercise, the duration, and contribution of microstate class C in the expert group decreased significantly compared to the novice group (p < 0.05), the occurrence of microstate classes A and D were significantly higher (p < 0.05), the transition probability of A → B was significantly higher (p < 0.05), and the transition probabilities of C → D and D → C were significantly lower (p < 0.05). The functional brain state of dragon boat athletes was characterized by expert athletes with closer synaptic connections of brain neurons and higher activation of the dorsal attention network in the resting state pre-exercise. There still had higher activation of cortical neurons after paddling exercise. Expert athletes can better adapt to acute full-speed oar training.

Inter-Device Reliability of a Three-Dimensional Markerless Motion Capture System Quantifying Elementary Movement Patterns in Humans.

With advancements in technology able to quantify wide-ranging features of human movement, the aim of the present study was to investigate the inter-device technological reliability of a three-dimensional markerless motion capture system (3D-MCS), quantifying different movement tasks. A total of 20 healthy individuals performed a test battery consisting of 29 different movements, from which 214 different metrics were derived. Two 3D-MCS located in close proximity were utilized to quantify movement characteristics. Independent sample t-tests with selected reliability statistics (i.e., intraclass correlation coefficient (ICC), effect sizes, and mean absolute differences) were used to evaluate the agreement between the two systems. The study results suggested that 95.7% of all metrics analyzed revealed negligible or small between-device effect sizes. Further, 91.6% of all metrics analyzed showed moderate or better agreement when looking at the ICC values, while 32.2% of all metrics showed excellent agreement. For metrics measuring joint angles (198 metrics), the mean difference between systems was 2.9 degrees, while for metrics investigating distance measures (16 metrics; e.g., center of mass depth), the mean difference between systems was 0.62 cm. Caution is advised when trying to generalize the study findings beyond the specific technology and software used in this investigation. Given the technological reliability reported in this study, as well as the logistical and time-related limitations associated with marker-based motion capture systems, it may be suggested that 3D-MCS present practitioners with an opportunity to reliably and efficiently measure the movement characteristics of patients and athletes. This has implications for monitoring the health/performance of a broad range of populations.

NERYO-CHAGI KINEMATIC CHARACTERISTICS EVALUATION IN IMPACT SINGLE COMBATS BY EXAMPLE OF WTF TAEKWONDO VIA FEEDBACK TECHNOLOGIES

This article is dedicated to topical issues related to feedback information technologies. As of now, there is not enough research on the topic of studying the kinematic characteristics of athletes in full-contact martial arts using tracking feedback systems. Research methodology: To test the hypothesis concerning the practicability of modern information technologies application, there was held an experiment with WTF taekwondo martial arts athletes. The researchers examined 4 athletes: 2 highly qualified athletes (elite) and 2 sub-elite athletes. The GPS/LPS RealTrack System by Wimu Pro Spain, was chosen to record the motion parameters. Neryo-Chagi was randomly chosen to assess the kinematic characteristics (exploratory study). Neryo-Chagi was considered as an integral motor action, which consists of two types of movement: 1) swing and 2) shock movement (strike). Research results: At the moment of Neryo-Chagi strike, there is a linear increase in the angular velocity (degrees/sec) from low to maximum. When performing a swing and a shock movement (strike), the angular velocity (deg / s) is different. The maximum angular speed during the swing is observed when strikes the way they are in a fight are compared to the maximum, medium and slow intensity. Swing time (s) with elite athletes is higher compared to sub-elite ones, while the time to perform a strike movement does not differ. Elite athletes have higher maximum angular velocity during the swing and strike movement. Evaluation of the main motor actions of athletes, classified by kinematic characteristics, allows a new assessment of their effectiveness.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/soc/0009/a.php" alt="Hit counter" /&gt;&lt;/p&gt;