Validation of an Optical Encoder During Free Weight Resistance Movements and Analysis of Bench Press Sticking Point Power During Fatigue

Drinkwater, Eric J.; Galna, Brook; McKenna, Michael J.; Hunt, Patrick H.; Pyne, David B.

doi:10.1519/r-20406.1

Cited by 34 publications

(42 citation statements)

References 24 publications

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“…Performing resistance exercises with free weight increases the horizontal displacement of the bar and consequently increases the potential error of a transducer device in estimating the vertical velocity. Although, this factor would represent a limitation of our study, the ability of the velocity transducers to provide valid measures of kinetics during free weight resistance exercises in well-trained athletes has been previously demonstrated (6) and supported in several other investigations (13,23).…”

Section: Relative Load Prediction In Bench Press 13mentioning

confidence: 66%

Loading Intensity Prediction by Velocity and the OMNI-RES 0–10 Scale in Bench Press

Naclerio

Larumbe-Zabala

2017

Journal of Strength and Conditioning Research

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This study examined the possibility of using movement velocity and the perceived exertion as indicators of relative load in the bench press exercise. Three hundred eight young, healthy, resistance trained athletes (242 male and 66 female) performed a progressive strength test up to the one-repetition maximum for the individual determination of the full load-velocity and load-exertion relationships. Longitudinal regression models were used to predict the relative load from the average velocity and the OMNI-RES 0-10 scale, considering sets as the time-related variable. Load associated with the average velocity and the OMNI-RES 0-10 scale value expressed after performing a set of 1-3 repetitions were used to construct two adjusted predictive equations: Relative load = 107.75 -62.97 × average velocity; and Relative load = 29.03 + 7.26 × OMNI-RES 0-10 scale value. The two models were capable of estimating the relative load with an accuracy of 84% and 93% respectively. These findings confirm the ability of the two calculated regression models, using load-velocity and loadexertion from the OMNI-RES 0-10 scale, to accurately predict strength performance in bench press.

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Section: Relative Load Prediction In Bench Press 13mentioning

confidence: 66%

Loading Intensity Prediction by Velocity and the OMNI-RES 0–10 Scale in Bench Press

Naclerio

Larumbe-Zabala

2017

Journal of Strength and Conditioning Research

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“…Additionally, interclass correlation and coefficient of variation were also assessed on the high school level players and were 0.860 and 6.3% (bench throw), 0.950 and 2.2% (bench press), and 0.790 and 7.0% (box squat), respectively. Validity of the Gymaware® optical encoder has been previously reported elsewhere (20).…”

Section: Statistical Analysesmentioning

confidence: 96%

“…A GymAware® optical encoder (50 Hz sample period with no data smoothing or filtering; Kinetic Performance Technology, Canberra, Australia) was used to collect peak power for each repetition of bench throw and jump squat using the methods described elsewhere (20). Briefly, GymAware® consists of a spring-powered retractable cord that passes around a pulley mechanically coupled to an optical encoder.…”

Section: Jump Squatmentioning

confidence: 99%

“…The encoder gives one pulse approximately every three millimeters of load displacement, with each displacement value time stamped with a one-millisecond resolution. The mass of the bar (as entered into a personal digital assistant), the entire displacement (mm) of the barbell, and time (ms) for the movement are used to calculate peak values for power (20).…”

Section: Jump Squatmentioning

confidence: 99%

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Characterization of the Differences in Strength and Power Between Different Levels of Competition in Rugby Union Athletes

Argus

Gill

Keogh

2012

Journal of Strength and Conditioning Research

100

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Levels of strength and power have been used to effectively discriminate between different levels of competition; however there is limited literature in rugby union athletes.To assess the difference in strength and power between levels of competition, 112 rugby union players including 43 professionals, 19 semi-professionals, 32 academy level, and 18 high school level athletes, were assessed for bench press and box squat strength, and bench throw and jump squat power. High school athletes were not assessed for jump squat power. Raw data along with data normalized to body mass with a derived power exponent were log-transformed and analyzed. With the exception of box squat and bench press strength between professional and semi-professional athletes; higher level athletes produced greater absolute and relative strength and power outputs than lower level athletes (4% -51%; small to very large effect sizes). Lower level athletes should strive to attain greater levels of strength and power in an attempt to reach, or to be physically prepared for the next level of competition. Furthermore, the ability to produce high levels of power, rather than strength, may be a better determinate of playing ability between professional and semi-professional athletes. Key Words: Allometric scaling, elite athletes, professional athletes, in-season.Strength and power in rugby union athletes.

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“…The decline in power during the initial acceleration phase appears to be a factor in a failed lift attempt at the sticking point 27) .…”

Section: Discussionmentioning

confidence: 99%

Valgus Laxity of Elbow Joint in High School Weight Lifters: Ultrasonographic Assessment

Choi

Kim

Park

et al. 2013

Korean J Sports Med

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We evaluated abnormalities in medial portion of elbow in high-school weightlifter compared with the non weightlifter using a stress radiography and ultrsonography. The experimental group(G1) was 26 high school weightlifters with an average age of 17 years old (range, 16-18 years). The control group (G2) were comprised of 25 age matched general students. Both groups received physical examination, simple and valgus stress radiography and ultrasonography on both side of elbow. Physical examination showed 26.9% (14/52 elbows) tenderness and 19.2% (10/52 elbows) valgus laxity in G1, no tenderness and laxity in G2. There were no differences in medial joint gaps on simple radiography (G1, 3.3 mm, G2, 2.7 mm; p＞0.05), but the valgus stress view showed 5.6±0.8 mm medial joint gap in G1 and 3.8±0.8 mm in G2 (p＜0.001). Ultrasonography in G1, angular deformity was found in 67.3% (36/52) and G2 all in normal (p＜0.01). The horizontal distance was an average 4.9±1.23 mm for the G1 and 3.1±0.78 mm for the G2 (p＜0.001). Vertical distance of the proximal portion of the ulna was average 0.58±0.94 mm for the G1 and 1.59±0.49 mm for the G2 (p＜0.001). In G1, angular deformity of male was 50% (15/30 elbows) and female was 95% (21/22 elbows) (p＜0.001). Change of horizontal and vertical distance were larger in female (p＜0.05). In conclusion, there were increased incidence of medial elbow joint laxity in high school weightlifter, especially in female, regardless of career. Sustained valgus laxity could be prone to ulnar collateral ligament injury and should be evaluated with ultrasonography-assisted dynamic study.

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Validation of an Optical Encoder During Free Weight Resistance Movements and Analysis of Bench Press Sticking Point Power During Fatigue

Cited by 34 publications

References 24 publications

Loading Intensity Prediction by Velocity and the OMNI-RES 0–10 Scale in Bench Press

Loading Intensity Prediction by Velocity and the OMNI-RES 0–10 Scale in Bench Press

Characterization of the Differences in Strength and Power Between Different Levels of Competition in Rugby Union Athletes

Valgus Laxity of Elbow Joint in High School Weight Lifters: Ultrasonographic Assessment

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