Acelt Y Player Load: Dos Variables Para La Cuantificación De La Carga Neuromuscular

Reche-Soto, Pedro; Cardona, D.; Díaz, A.; Gómez-Carmona, Carlos D.; Pino-Ortega, José

doi:10.15366/rimcafd2020.77.011

Cited by 8 publications

(9 citation statements)

References 52 publications

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“…A total of 18 dependent variables were recorded in this study, grouped into eTL and iTL variables. The kinematic variables of the eTL used were the (1) number of accelerations (Acc), (2) accelerations per minute (Acc/min), (3) maximum acceleration (Acc max ), (4) average acceleration (Acc avg ), ( 5) number of decelerations (Dec), ( 6) decelerations per minute (Dec/min), (7) maximum deceleration (Dec max ), and (8) average deceleration (Dec avg ). The neuromuscular variables of the eTL were the (1) integral PL (PL) (i.e., the total accelerations produced in the three planes of motion) and ( 2) integral PL per minute (PL/min).…”

Section: Variablesmentioning

confidence: 99%

“…[5,6]. This eTL can be measured with inertial movement devices, which permit the valid and reliable analysis of kinematic and neuromuscular efforts during sports practice [7][8][9]. The iTL, on the other hand, refers to the physiological demands that can be measured objectively using the Heart Rate (HR), which indicates the intensity of the exercise [10].…”

Section: Introductionmentioning

confidence: 99%

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Organization of Students and Total Task Time: External and Internal Load Recorded during Motor Activity

et al. 2021

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The organization of the students and the time taken to execute the learning tasks determine the physical (external load) and physiological (internal load) demands the students support during physical education classes. The aim of this study was to determine which organizational and pedagogical elements used to design different learning tasks for soccer provoke greater external (Player Load (PL)) and internal (Heart Rate (HR)) load and thus help the students to fulfil the adequate physical activity recommendations (moderate to vigorous physical activity for ≥50% of class time). The organizational elements studied were (1) the participation type and (2) total task time, and the pedagogical element of (3) the game situation. A total of 40 students from the fifth year of primary education participated in the study distributed into two class groups. The basic analysis units were the data on physical activity recorded in each of the tasks carried out by the students during the practical sessions (1500 records), and they were recorded using WIMU ProTM inertial movement devices. A descriptive and inferential analysis was performed with the Mann–Whitney U and Kruskal–Wallis H statistical tests. The results recommend the following types of tasks with simultaneous participation: individual games, numerical inequality SSG, numerical equality SSG lasting less than 6 min, numerical equality SSG, and full games lasting between 6 and 10 min. This type of learning task makes the students move more (medium Player Load between 0.80 and 1.20) and at greater intensities (Heart Rate zone 4, between 161 and 181 bpm). Therefore, physical education teachers must take into account the pedagogical and organizational elements studied to make the sessions more intense and associated with health benefits.

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Section: Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Organization of Students and Total Task Time: External and Internal Load Recorded during Motor Activity

et al. 2021

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“…We investigated the total distance covered (m); explosive distance (m) -distance covered at a speed of > 12 km/h [14]; the number of accelerations and decelerations; maximum sprint recorded (km/h); and PL (a.u. ), derived from triaxial accelerometers (x, y, and z), used to evaluate neuromuscular load in different athletes [15,16].…”

Section: External Load Variablesmentioning

confidence: 99%

“…With respect to research on neuromuscular load in SSGs, investigations have used player load (PL) as a valid indicator. PL is a total load indicator calculated through body movements detected by an accelerometer in the 3 anatomical axes of movement [15], presenting a high correlation with the physiological variable of HR and considered as a valid indicator of analysis and quantification of neuromuscular demands [16]. Zurutuza et al [9], in small (3 × 3), medium (4 × 4, 5 × 5, 6 × 6), and large (7 × 7, 8 × 8, 9 × 9) SSGs, increasing the playing area per player, observed a decrease in PL (small: 11.9 ± 2.9, medium: 11.2 ± 2.4, large: 9.8 ± 2.0).…”

Section: Introductionmentioning

confidence: 99%

Physiological and physical effects associated with task constraints, pitch size, and floater player participation in U-12 1 × 1 soccer small-sided games

Santos¹,

Figueiredo²,

Ferreira³

et al. 2022

Hum Mov.

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Purpose. The study aim was to analyse 1 × 1 small-sided games (SSGs) with and without floating players, in different pitch sizes. Methods. Ten U-12 soccer players were divided into 2 groups. Group 1 (n = 4) performed 1 × 1 SSG and group 2 (n = 6) performed 1 × 1 + 1 SSG. Field sizes of 5 × 10 m (SSG1), 10 × 15 m (SSG2), and 15 × 20 m (SSG3) were used, all with small goals. The studied variables were heart rate (HR), total distance, explosive distance (> 12 km/h), accelerations, decelerations, maximum sprint, player load (PL) intensity and volume. The data were collected through WIMU PROTM and analysed with IbM SPSS Statistics. Descriptive analyses and comparisons between the effects of internal and external PL and SSG were performed with the Mann-Whitney U test. Results. Increasing the pitch size in 1 × 1 and 1 × 1 + 1 SSGs led to raised total distance, maximum sprint, and PL. In 1 × 1 and 1 × 1 + 1 SSGs, the time practice was predominantly associated with HR max intervals above 90%. Statistically sig ni ficant differences were observed between 1

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“…El desarrollo constante de la tecnología hace posible la recolección masiva de datos fisiológicos y cinemáticos en relación a la competición y el entrenamiento del deporte en general (Boyd, 2011;Montgomery, Pyne, & Minahan, 2010;Reche-Soto, Cardona-Nieto, Diaz-Suarez, Gomez-Carmona, & Pino-Ortega, 2019a) y en el fútbol en particular (Bastida-Castillo, Gómez-Carmona, De la Cruz Sánchez, & Pino-Ortega, 2018;Buchheit, Lacome, Cholley, & Simpson, 2018;2019, Retos, 36, 469-473 © Copyright: Federación Española de Asociaciones de Docentes de Educación Física (FEADEF) ISSN: Edición impresa: 1579-1726. Edición Web: 1988-2041 Reche-Soto, Cardona-Nieto, Diaz-Suarez, Gomez-Carmona, & Pino-Ortega, 2019b).…”

Section: Introductionunclassified

Comparación de dos métodos de detección para el registro de la frecuencia cardíaca: banda torácica vs camiseta técnica (Comparison of two methods for recording heart rate telemetry: chest band vs technical shirt)

Pino-Ortega

Bastida-Castillo

Lozano

et al. 2019

Retos

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Justificación. Los avances tecnológicos han contribuido al desarrollo de nuevo instrumental para la detección de variables de carga interna y externa durante los entrenamientos y la competición en el deporte. La frecuencia cardíaca (FC) es uno de los indicadores más estudiados y utilizados para el control de la carga interna. Actualmente para una mayor comodidad del atleta, los monitores cardiacos se han integrado en la indumentaria deportiva. Por tanto, es importante conocer la validez y precisión de dichas herramientas y mediciones ya que se utilizan comúnmente en situaciones reales del juego. Objetivo. Comparar dos métodos de detección para la medición de la FC a través del monitor cardíaco integrado en una camiseta técnica (Kalenji®, Kiprum Cardio) en relación a una herramienta previamente validada (GARMIN®- WIMU PROTM). Método. 16 futbolistas sub-19 (edad: 17.2±0.87 años; altura: 1.77 ± 0.05 cm; peso: 73.96±4.2 kg; IMC: 21.5±1.1 kg/m2) de nivel nacional español participaron voluntariamente. Se realizó una simulación de juego real mediante un espacio reducido 8vs8 (67.5 x 38.2 metros, 184.18 m2 por jugador excluyendo porteros). El análisis estadístico se compuso de las pruebas estadísticas coeficiente de correlación de Pearson, coeficiente de correlación intraclase (ICC) y test de Bland-Altman. Resultados. Existe una correlación casi perfecta (ICC=1.00; r=0.99) entre ambos métodos de monitorización de la frecuencia cardiaca. Existen diferencias bajas entre las mediciones de ambos dispositivos (Bias=0.01 ± 1.09; CV=1.59%) independientemente de la intensidad de la actividad. Conclusiones. Los electrodos integrados en la camiseta técnica es un método válido para la monitorización de la frecuencia cardiaca en fútbol a diferentes intensidades.Abstract. Purpose. Technological advances have contributed to the development of new devices measuring external and internal load during training and competition in sports. Heart rate (HR) is one of the most studied and utilized variables for internal load control. Currently, heart rate monitors have been integrated onto sport clothes in order to increase athletes’ comfortability. Therefore, it is important to know validity and accuracy of their measurements so that they can be used in real game situations. Objective. To compare two methods of detection of HR: through a technical shirt (Kalenji®, Kiprum Cardio), and with a previously validated method (GARMIN®- WIMU PROTM). Methods. A total of 16 Under-19 national-level footballers (age: 17.2±0.87 years old; height: 1.77 ± 0.05 m; weight: 73.96±4.2 kg; BMI: 21.5±1.1 kg/m2) participated voluntarily in this study. An 8vs8 game in a reduced area was performed (67.5 x 38.2 meters, 184.18 m2 per player, excluding goalkeepers). Statistical analysis was composed by Pearson correlation coefficient, intraclass correlation coefficient (ICC), and Bland-Altman test. Results. A nearly perfect correlation was found between the HR telemetry methods (ICC=1.00; r=0.99). Very low differences were found between the two contact methods (Bias=0.01 ± 1.09; CV=1.59%), independently of activity intensities. Conclusions. The electrodes incorporated on the technical shirts represent a valid method to measure heart rate telemetry at different intensities in soccer.

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Acelt Y Player Load: Dos Variables Para La Cuantificación De La Carga Neuromuscular

Cited by 8 publications

References 52 publications

Organization of Students and Total Task Time: External and Internal Load Recorded during Motor Activity

Organization of Students and Total Task Time: External and Internal Load Recorded during Motor Activity

Physiological and physical effects associated with task constraints, pitch size, and floater player participation in U-12 1 × 1 soccer small-sided games

Comparación de dos métodos de detección para el registro de la frecuencia cardíaca: banda torácica vs camiseta técnica (Comparison of two methods for recording heart rate telemetry: chest band vs technical shirt)

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