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Adam M. Hyde, Robert G. McMurray, Frank A. Chavoya and Daniela A. Rubin

for laboratory conditions for any of the groups in terms of temperature (25 ± 1°C; P  = .33) and relative humidity (33 ± 9%; P  = .75). Data Processing and Analyses Metabolic and ventilatory values obtained from the metabolic system were averaged for the last 2 minutes of each trial for each

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Kajetan J. Słomka, Slobodan Jaric, Grzegorz Sobota, Ryszard Litkowycz, Tomasz Skowronek, Marian Rzepko and Grzegorz Juras

two series. The sequence of the series was randomized. Verbal encouragement was systematically provided during all 100% effort trials. Before each 50% effort trial, the instructions were reiterated. Data Processing Vertical jumps were performed on a force plate (BP600900 type; AMTI, Watertown, MA

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Jun-Seok Kim, Moon-Hwan Kim, Duk-Hyun Ahn and Jae-Seop Oh

was confirmed based on the average distance from 3 measurements, and participants with a distance >2 cm were allocated to the WS group. 29 Figure 1 —Measurement of winged scapula using a scapulometer. Surface EMG and Data Processing Surface EMG data were recorded simultaneously during measurements of

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Michael Sanders, Anton E. Bowden, Spencer Baker, Ryan Jensen, McKenzie Nichols and Matthew K. Seeley

knee scooter). The uninvolved-leg (left) knee scooter trials required subjects to push with the left foot, while contacting the force plate; during these trials, the knee scooter did not contact any force plate. Data Analysis All EMG data processing was done in MATLAB (The MathWorks Inc, Natick, MA

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Stacy N. Scott, Cary M. Springer, Jennifer F. Oody, Michael S. McClanahan, Brittany D. Wiseman, Tyler J. Kybartas and Dawn P. Coe

Exercise Testing in Children and Adolescents . Wellesley, MA : UpToDate in Pediatrics ; 2017 . . Accessed May 23, 2017. 20. Robergs RA , Dwyer D , Astorino T . Recommendations for improved data

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Kevin Deschamps, Giovanni Matricali, Maarten Eerdekens, Sander Wuite, Alberto Leardini and Filip Staes

vertical loading rate was used as a second qualitative check of the striking pattern. Participants were instructed to run at a speed of 3.3 m/s (±10%). Data processing incorporated manual marker labeling and definition of the individual running cycles using Nexus software (Vicon). Starting from a

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James W. Youdas, Hannah E. Baartman, Brian J. Gahlon, Tyler J. Kohnen, Robert J. Sparling and John H. Hollman

Activator Training Platforms; ZeSa Fitness, Minneapolis, MN). The air bladders of the platforms were inflated to 5 psi (Figure  1D ). Data Processing Surface electromyography activity was recorded over 10-second intervals for each of the exercise tests. Signals were band-pass filtered at 20 to 450 Hz with a

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Dimitrios Poulimeneas, Maria I. Maraki, Eleni Karfopoulou, Yannis Koutras, Stavrie Chrysostomou, Costas A. Anastasiou, Stavros A. Kavouras and Mary Yannakoulia

. 2009 ; 50 ( 4 ): 283 – 294 . PubMed ID: 19622498 16. International Physical Activity Questionnaire (IPAQ) Group . Guidelines for data processing and analysis of the International Physical Activity Questionnaire (IPAQ)—Short and long forms . 2005 . . Accessed 16/10/2018. 17

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Dimitrios-Sokratis Komaris, Cheral Govind, Andrew Murphy, Alistair Ewen and Philip Riches

a natural manner similar to standing up from a chair at home to pick up a glass of water from the table in front of them. No other instructions were given. Up to 5 trials of the task were recorded per participant. Data Processing For each recorded trial, 2 frames, f 1 and f 2, were chosen to

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Sarahjane Belton, Gavin Breslin, Stephen Shannon, Wesley O’Brien, Ben Fitzpatrick, Tandy Haughey, Fiona Chambers, Danielle Powell, Darryl McCullagh and Deirdre Brennan

using the Evenson et al 19 cut points; MVPA: ≥2296 counts/min. Data Processing and Analysis Mean daily, weekday, and weekend day MVPA were calculated. Sex-specific MVPA quartile cutoff values 11 were calculated to categorize males and females separately into 4 groups based on daily MVPA representing