Validación y fiabilidad del sensor Wheeler Jump para la ejecución del salto con contramovimiento

Palma, Brayan Esneider Patiño; Wheeler-Botero, Carlos Andrés; Ramos-Parrací, Carlos Alberto

doi:10.5672/apunts.2014-0983.es.(2022/3).149.04

Cited by 9 publications

(11 citation statements)

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“…The moderate consistency found for the midfoot contrasted with the high levels of consistency observed for the forefoot, which are comparable to those reported in other studies. Near-perfect ICCs were found for Optojump (ICC = 0.98; CV = 2.2%) and SEM = 2.43 cm [15], Wheeler jump (CV = 1.5%) and SEM = 1.33 cm [19], Fitjump (ICC = 0.97; CV = 2.3%) and SEM = 1.30 cm [17], and ADR jumping itself (ICC = 0.89, SEM = 0.7 cm) [18]. However, consistency was examined in these studies from sessions separated by 7 days (intersession reliability), which may explain the lower ICC reported in [18], as variability may increase due to biological or environmental factors.…”

Section: Discussionmentioning

confidence: 84%

“…In photocells, these moments are determined when the beam is no longer interrupted by the foot. Therefore, positioning the cut-off zone in the forefoot implies that it is cut off when ankle extension is complete, thus the data obtained can be considered interchangeable with data from jump mats [18,19] or force platforms [44]. On the other hand, if the device is positioned so that the beam is placed at the midfoot, the flight time will increase because the emitted beam picks up the signal of the first cut by default.…”

Section: Discussionmentioning

confidence: 99%

“…Finally, the test-retest reliability of the ADR jumping device (ADR, Toledo, Spain) is also high (ICC = 0.89) [18]. On the other hand, photocells also show low sensitivity values: smallest detectable change (SDC) of 1.2 cm for Optogait, 1.1 cm for ADR, and the smallest worthwhile change (SWC) of 1.41 cm for wheeler jump (Wheeler Sports Tech, Tampa, FL, USA) [19].…”

Section: Introductionmentioning

confidence: 99%

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Reliability of ADR Jumping Photocell: Comparison of Beam Cut at Forefoot and Midfoot

Jiménez-Olmedo

Penichet-Tomás

Pueo

et al. 2023

IJERPH

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The ability to detect small changes in a vertical jump is crucial when data are used by sports science specialists to monitor their athletes. This study aimed to analyze the intrasession reliability of the ADR jumping photocell and the reliability relative to the position of the transmitter when it is located facing the phalanges of the foot (forefoot) or the metatarsal area (midfoot). A total of 12 female volleyball players performed 240 countermovement jumps (CMJ), alternating both methods. The intersession reliability was higher for the forefoot method (ICC = 0.96; CCC = 0.95; SEM = 1.15 cm; CV = 4.11%) than for the midfoot method (ICC = 0.85; CCC = 0.81; SEM = 3.68 cm; CV = 8.75%). Similarly, the sensitivity values were better for the forefoot method (SWC = 0.32) than for the midfoot method (SWC = 1.04). Significant differences were found between the methods (13.5 cm, p < 0.05, ES = 2.1) with low agreement (rs = 0.57; ICC = 0.49; CCC = 0.15; SEM = 4.7 cm) and heteroscedasticity was observed (r2 > 0.1). In conclusion, the ADR jumping photocell is shown to be a reliable tool for measuring CMJs. However, the reliability of the instrument can be influenced depending on the placement of the device. Comparing the two methods, the midfoot placement was less reliable as indicated by higher values of SEM and systematic error, and thus its use is not recommended.

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Section: Discussionmentioning

confidence: 84%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Reliability of ADR Jumping Photocell: Comparison of Beam Cut at Forefoot and Midfoot

Jiménez-Olmedo

Penichet-Tomás

Pueo

et al. 2023

IJERPH

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“…A credible, trustworthy, and practical tool for determining leap height is ADR-Jumping [14]. Also, the Wheeler Jump Sensor is a trustworthy tool that gives researchers and experts accurate data regarding fluctuations in players' athletic abilities [15]. In handball, jumping is influenced by strength.…”

Section: Important Items To Be Analyzed In Handball Athletesmentioning

confidence: 99%

Machine Learning Tools Applied for Training Optimization in Handball

Bucea Manea Tonis,

Savin,

Talaghir

et al. 2023

Preprint

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Analytics have become increasingly popular among sports in recent years, providing valuable information regarding physical and mental health. Many athletes have found that analytics during training can help to improve their performance, reduce the risk of injury, and enhance their overall well-being. This paper aims to improve the results of handball players by applying a method for measuring the influence of different trials on aggregate performance calculated per each athlete in order to qualify for the Olympic Games. By separating the isolated action of each trial, the result is an additional influence caused by the interaction of factors or the simultaneous action. That might explain why the neuromuscular feedback loop is utterly necessary to perform handball motor actions. Further on, the ML analysis can help identify areas for improvement, optimize training programs, and enhance overall team performance.

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“…La medición de la FE se realizó con el sensor fotoeléctrico Wheeler Jump de marca Wheeler Tecnologia (Colombia), el cual es un sistema inalámbrico, portátil y ligero que permite evaluar el salto vertical estimando la altura durante el tiempo de vuelo (Patiño-Palma et al, 2022). Para la medición se realizaron dos saltos, se ejecutó el SJ para determinar la altura y potencia del salto vertical, durante la ejecución se le indicó a los participantes que apoyaran las manos en las caderas, los pies separados de manera que pudieran adoptar una posición de rodillas flexiona-das (aproximadamente 90 grados) durante 5 segundos y luego realizara un salto vertical de esfuerzo máximo.…”

Section: Procedimientos E Instrumentosunclassified

Relación entre la fuerza explosiva, composición corporal, somatotipo y algunos parámetros de desempeño físico en jugadores de rugby sevens (Relationship between explosive strength, body composition, somatotype and some physical performance parameters in rugby sevens players)

García-Chavez

Corredor-Serrano²,

Millán³

2022

Retos

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La fuerza explosiva (FE) es una manifestación de importancia en deportes de conjunto tales como el rugby sevens, al igual que su relación con la composición corporal y el desempeño físico, sin embargo, al ser una modalidad relativamente nueva, son pocos los estudios que evidencien dicha relación. Objetivo: Determinar la relación de la FE con la composición corporal, somatotipo y algunos parámetros de desempeño físico en jugadores de Rugby Sevens. En 15 jugadores (edad 23.3 ± 4.0 años, peso de 78.7 ±17.0 kg, talla 174.1 ±6.2 cm, masa muscular 40.8 ±5.1 kg, masa ósea 11.2 ±1.6 kg, porcentaje de grasa 14.2 ±2.6%, somatotipo endo-mesomorfo) se evaluó la FE a través de la altura y la potencia del salto squat jump (SJ) y el salto en contramovimiento (CMJ); composición corporal por medio del método antropométrico, agilidad a través del T-test y velocidad cíclica máxima en 30 m lanzados. Se encontró correlación de la potencia del SJ con la masa muscular (r = .64; p, <.01) la masa ósea (r = .67; p, <.01) y la masa grasa (r = .79; p, <.01), de igual forma la correlación de la potencia del CMJ con la masa muscular (r = .60; p, <.05) la masa ósea (r = .63; p, <.05) y la masa grasa (r = .69; p, <.01). No se encontraron correlaciones significativas entre las alturas de los saltos con ninguna variable de estudio, ni de la potencia de los saltos con la agilidad y la aceleración. Conclusión: hay relación entre la FE y la composición corporal, lo cual debe ser tenido en cuenta para entrenamiento en el rugby sevens. Palabras clave: Fuerza muscular, composición corporal, aceleración, agilidad. Abstract. Explosive strength (FE) is an important manifestation in team sports such as Rugby Sevens, as well as its relationship with body composition and physical performance, however, being a relatively new modality, there are few studies that show this relationship. Objective: To determine the relationship of ES with body composition, somatotype, and some parameters of physical performance in Rugby Sevens players. In 15 players (age 23.3 ± 4.0 years, weight 78.7 ±17.0 kg, height 174.1 ±6.2 cm, muscle mass 40.8 ±5.1 kg, bone mass 11.2 ±1.6 kg, fat percentage 14.2 ±2.6%, endo-mesomorph somatotype) ES was assessed through the height and power of the squat jump (SJ) and the countermovement jump (CMJ); body composition through the anthropometric method, agility through the T-test and maximum cyclic speed in 30 m thrown. Correlation of SJ power with muscle mass (r = .64; p, <.01) bone mass (r = .67; p, <.01) and fat mass (r = .79; p, <.01), in the same way the correlation of CMJ power with muscle mass (r = .60; p, <.05) bone mass (r = .63; p, <.05) and mass fat (r = .69; p, <.01). No significant correlations were found between jump heights with any study variable, nor between jump power and agility and acceleration. Conclusion: there is a relationship between FE and body composition, which should be considered for training in Rugby Sevens. Keywords: Muscle strength, body composition, acceleration, agility.

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Validación y fiabilidad del sensor Wheeler Jump para la ejecución del salto con contramovimiento

Cited by 9 publications

References 0 publications

Reliability of ADR Jumping Photocell: Comparison of Beam Cut at Forefoot and Midfoot

Reliability of ADR Jumping Photocell: Comparison of Beam Cut at Forefoot and Midfoot

Machine Learning Tools Applied for Training Optimization in Handball

Relación entre la fuerza explosiva, composición corporal, somatotipo y algunos parámetros de desempeño físico en jugadores de rugby sevens (Relationship between explosive strength, body composition, somatotype and some physical performance parameters in rugby sevens players)

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