Purpose This study aimed to apply open-source analysis code to raw habitual physical
activity data from wrist-worn monitors to: 1) objectively, unobtrusively, and accurately
discriminate between “running” and “nonrunning” days; and 2) develop and compare simple
accelerometer-derived metrics of external training load with existing self-report measures.
Methods Seven-day wrist-worn accelerometer (GENEActiv; Activinsights Ltd, Kimbolton, UK)
data obtained from 35 experienced runners (age, 41.9±11.4 yr; height, 1.72±0.08 m; mass …

Purpose This study aimed to apply open-source analysis code to raw habitual physical
activity data from wrist-worn monitors to: 1) objectively, unobtrusively, and accurately
discriminate between" running" and" nonrunning" days; and 2) develop and compare simple
accelerometer-derived metrics of external training load with existing self-report measures.
Methods Seven-day wrist-worn accelerometer (GENEActiv; Activinsights Ltd, Kimbolton, UK)
data obtained from 35 experienced runners (age, 41.9±11.4 yr; height, 1.72±0.08 m; mass …