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Patty Freedson

identify continued challenges facing the field, including a lack of consensus on methods for data collection (e.g., sensor, body location, determination of a valid day) or data processing method (e.g., algorithm or cut-point) ( Lee et al., 2018 ). The measurement community must find ways to work

Open access

Patty Freedson

-based physical activity. This is a new approach for determining which days of activity monitoring with an accelerometer are used to quantify physical activity. We typically use rules (e.g., 10 hrs/day of ‘good data’) to determine which days of multi-day monitoring are included in device-based data processing of

Open access

Melanna F. Cox, Greg J. Petrucci Jr., Robert T. Marcotte, Brittany R. Masteller, John Staudenmayer, Patty S. Freedson and John R. Sirard

processing methods used in the pilot study were the same methods used in the main study (see Phase III, Data Processing). Briefly, intra-rater agreement was acceptable (>80%) for all variables except MET value (69 ± 27%). Inter-rater agreement ( n  = 6 coders compared with expert coder) ranged from 50

Open access

Damien Moore, Tania Pizzari, Jodie McClelland and Adam I. Semciw

actions) were performed for data normalization ( Supplementary Table S1 [available online]). Statistical Analysis The R statistical software package (version 3.4.1; https://cran.r-project.org/ ) was used for analysis. The EMG data processing has been described in detail previously. 6 Muscle activity

Open access

Jonathan M. Williams, Michael Gara and Carol Clark

maintained for >2 seconds. One practice attempt was permitted prior to 3 hop landings being captured. The order of hopping was standardized to dominant prior to nondominant and forward hopping followed by medial and lateral hopping. Data Processing Data were transferred to MATLAB 2008b (The MathWorks, Inc

Open access

Aaron Nelson, Nathan Koslakiewicz and Thomas Gus Almonroeder

contact was defined as the time when the vertical GRF first exceeded 20 N. Visual3D software (C-Motion Inc, Rockville, MD) was used for data processing. For each trial, the peak vertical GRFs (maximum value), peak knee extension moments (maximum value), and peak knee sagittal plane power (minimum value

Open access

Kai-Yu Ho, Brenda Benson Deaver, Tyrel Nelson and Catherine Turner

task, beginning at 7 m behind the cutting point. Data Processing The peak knee valgus during the landing phase was obtained for each task using the 3D motion analysis and a MAA. The landing phase began at initial contact of the landing leg and ended at maximal knee flexion. If knee valgus was not

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Philippa M. Dall, Dawn A. Skelton, Manon L. Dontje, Elaine H. Coulter, Sally Stewart, Simon R. Cox, Richard J. Shaw, Iva Čukić, Claire F. Fitzsimons, Carolyn A. Greig, Malcolm H. Granat, Geoff Der, Ian J. Deary, Sebastien F.M. Chastin and On behalf of the Seniors USP Team

removal to allow for reasonable recall, and was then checked with data record. Data processing was from midnight-midnight and not from specific time of removal, so day/date of removal was sufficient information Data inspection •  Routinely performed by a single researcher close to time collected

Open access

Mhairi K. MacLean and Daniel P. Ferris

at tissue level. We based this decision on pilot tests prior to the first experiment. Data processing was carried out as follows. We calculated metabolic cost (W/kg) using V ˙ O 2 and V ˙ CO 2 measurements and the Brockway equation. 30 We subtracted the metabolic cost of standing at rest and

Open access

Jairo H. Migueles, Alex V. Rowlands, Florian Huber, Séverine Sabia and Vincent T. van Hees

.RData files (including collections of data.frame and vector objects) and the analysis reports per dataset (see Figure  1 ). The analysis reports are in .csv format to give the user the flexibility to process their quantitative results in other statistical or data processing environments. There are many