An Algorithm for Identifying Physical Activity Patterns from Motion Data

in Pediatric Exercise Science
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An algorithm was developed to describe how physical activity (PA) patterns relate to overall motion counts. Thirty-five children wore an accelerometer (7-days). Each motion count was compared with the mean of surrounding counts within 21 min. Counts per minute similar to the mean were grouped into bouts. Counts that differed by more than 20% of the coefficient of variations (based on the mean and SD of the 21 min period) indicated transitions between bouts. Children with more daily motion had more and longer moderate (MPA) and vigorous (VPA) bouts, higher counts during MPA bouts, and more transitions from VPA to VPA bouts. In addition to differences in PA levels, highly active and less active children perform PA differently.

Dorsey is with the Dept. of Pediatrics, Yale University School of Medicine, New Haven, CT 06520-8064. Herrin is with Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT 06520. Krumholz is with Section of Cardiovascular Medicine and the Robert Wood Johnson Clinical Scholars Program, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT 06520-8088.