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Patrick Ippersiel, Richard Preuss and Shawn M. Robbins

–S1 was retained. This procedure was repeated for 3 padding methods (double reflection, spline extrapolation, and unpadded) and the criterion signal, across each trial, for all 16 subjects. All data processing was performed using custom scripts in MATLAB 2016Rb (MathWorks Inc, Natick, MA). Pad Length

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Chelsea Steel, Carolina Bejarano and Jordan A. Carlson

typically collected at high frequencies, such as every minute or second, and merged between devices based on timestamps. Particularly in youth, short intervals of 5–15 seconds are recommended for physical activity assessment ( Rowlands, 2007 ). Data processing techniques and research questions often

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Mirko Brandes, Berit Steenbock and Norman Wirsik

-aged children. Furthermore, energy costs calculated based on the compendium would always have to be adapted for preschoolers. Acknowledgments The authors would like to thank Marlena Böning and Johanna Sophie Lubasch for their assistance during data collection, and Jan Behrens for his assistance with data

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Pedro G. Morouço, Tiago M. Barbosa, Raul Arellano and João P. Vilas-Boas

, all participants underwent familiarization sessions (n = 3) with the tethered testing apparatus. Data processing were carried out on a signal processing software (AcqKnowledge, v.4.0; BIOPAC Systems, Santa Barbara, CA); a low-pass filter and cutoff values were chosen based on residual analysis

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Owen Jeffries, Mark Waldron, Stephen D. Patterson and Brook Galna

exchanges were recorded to assess oxygen consumption (VO 2 ) (Oxycon Pro; Erich Jaeger GmbH, Hoechberg, Germany). Data Processing Power output data were sampled at 1 Hz and variability examined in several ways. First, the distribution of power output for both conditions was calculated by creating a

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Julia Freedman Silvernail, Richard E.A. van Emmerik, Katherine Boyer, Michael A. Busa and Joseph Hamill

and processing procedures are described in Silvernail et al. 15 Additional data processing consisted of calculating the thigh and shank segment angles relative to the laboratory coordinate system, followed by extracting and time normalizing the stance phase data. Custom software was used to calculate

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Etem Curuk, Yunju Lee and Alexander S. Aruin

(MathWorks, Natick, MA) was used for offline data processing. The EMG signals were high-pass filtered at 20 Hz, full-wave rectified, and low-pass filtered using a second-order Butterworth filter with a cutoff frequency at 2 Hz ( Potvin & Brown, 2004 ). Muscle onset latencies were derived from the filtered

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Lauren A. Brown, Eric E. Hall, Caroline J. Ketcham, Kirtida Patel, Thomas A. Buckley, David R. Howell and Srikant Vallabhajosula

-built gyroscope of the sternum. The angular velocity signal is then integrated. The beginning and end of the 180° turn are determined based on the change of the yaw rotation by 180°. Figure 1 Schematic of experimental setup. Data Processing and Statistical Analysis The average, SD, and coefficient of variation of

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Caroline Lisee, Tom Birchmeier, Arthur Yan, Brent Geers, Kaitlin O’Hagan, Callum Davis and Christopher Kuenze

sounds. Four participants were unable to complete a successful session and excluded from data analysis for a final sample of 26 participants. Figure 1 Frontal (A) and axial (B) view of microphone and force plate setup. Data Processing Kinetic data were filtered using a fourth-order Butterworth filter

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Gustavo Ramos Dalla Bernardina, Tony Monnet, Heber Teixeira Pinto, Ricardo Machado Leite de Barros, Pietro Cerveri and Amanda Piaia Silvatti

and analysis process using the ASC, such as the usage of larger markers, better illumination to provide a higher marker to background contrast, circle fitting in the data processing, the distortion correction model, and shutter speed tuning, could reduce this systematic error. As far as 3D accuracy is