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Deirdre Dlugonski, Katrina Drowatzky DuBose and Patrick Rider

initialized as the receiver and the child’s accelerometer as the beacon. This process yields a minute-by-minute log of whether the 2 accelerometers were in- or out-of-range (∼50 m or less) of each other. Data Processing Accelerometer data were downloaded and processed using ActiLife 6 software for valid wear

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Wen-Hao Hsu, Evelyn J. Park, Daniel L. Miranda, Hani M. Sallum, Conor J. Walsh and Eugene C. Goldfield

other force platform to encourage the participant to walk forward. Successful walking trials, in which the participant walked from one force platform to the other without falling (about 4–6 steps), were recorded for further analysis. Data Processing and Analyses The retroreflective marker data were

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Katherine Reta Devonshire-Gill and Kevin Ian Norton

departments had followed AAS protocol with respect to sampling methods, survey content and conduct, and data processing. 22 Samples of adults aged 18 years and over were randomly generated using state and territory residential telephone directories. Computer-assisted telephone interviewing was used to

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Lindsey Tulipani, Mark G. Boocock, Karen V. Lomond, Mahmoud El-Gohary, Duncan A. Reid and Sharon M. Henry

functional task and that we were able to account for most of the sources of error between the 2 systems. Acknowledgments The authors would like to acknowledge Alan Howard for assistance with data analysis and Nicholas Dominick for assistance with data processing. Funding and Conflicts of Interest Disclosure

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Faye Prior, Margaret Coffey, Anna Robins and Penny Cook

interventions.  September 2012 . http://webarchive.nationalarchives.gov.uk/20170110171012/https://www.noo.org.uk/core/frameworks/SEF_PA . Accessed July 26 2018. 19. IPAQ . Guidelines for data processing and analysis of the international physical activity questionnaire (IPAQ). November 2005 . https

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Christian A. Clermont, Sean T. Osis, Angkoon Phinyomark and Reed Ferber

at 2.7 m/s while wearing standard shoes (Air Pegasus; Nike, Beaverton, OR). Data Processing Kinematic joint angles were calculated using 3D GAIT custom software (Running Injury Clinic Inc., Calgary, Alberta, Canada) and normalized to 100 data points for an entire gait cycle (stance and swing phases

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Andrew D. Nordin and Janet S. Dufek

data to participant BW, sagittal joint moments to participant BW and height (BW˙H), and EMG data to mean dynamic baseline activity for each participant (lowest task demands: BW˙H12.5). 16 , 27 , 31 Sagittal joint angles were expressed in degrees (deg). Figure 1 —Exemplar electromyography (EMG) data

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Ian N. Bezodis, David G. Kerwin, Stephen-Mark Cooper and Aki I.T. Salo

recorded during the maximal velocity phase of a sprint, at least 40 m from the start. The coach used photocell times on most occasions to give feedback immediately after each run. Data Processing Video data were imported into Target (Loughborough Innovations Ltd, Loughborough, UK) for digitizing. The last

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Yoshifumi Kijima, Ryoji Kiyama, Masaki Sekine, Toshiyo Tamura, Toshiro Fujimoto, Tetsuo Maeda and Tadasu Ohshige

patients is usually performed using a three-dimensional motion analysis system and a force plate in the laboratory. However, these methods are not used more frequently in clinical practice because of complications in measurement and data processing ( Krause et al., 2015 ). On the other hand, accelerometers

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Nicolas Farina and Ruth G. Lowry

). Identifying accelerometer nonwear and wear time in older adults . International Journal of Behavioral Nutrition and Physical Activity, 10 , 120 . doi:10.1186/1479-5868-10-120 10.1186/1479-5868-10-120 IPAQ Research Committee . ( 2005 ). Guidelines for data processing and analysis of the International