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Can a Single Algorithm Accurately Estimate Steps Per Minute from Acceleration Data Measured by Different Wearable Devices?: 2894 June 3 1: 00 PM - 1: 15 PM.

Misfit Shine and Flash are accelerometer-based activity trackers with the flexibility to be worn at different body sites (e.g., wrist, hip). The algorithms used to estimate features of physical activity (PA) (e.g., steps) from Misfit Shine and Flash have been validated against gold standards and yield comparable results across wear site. Conversely, some research-grade actigraphs that were initially validated on the hip and are being increasingly used at the wrist, lack data on their validity at the wrist. This is problematic given that such tools are used at the wrist in clinical and national surveillance research. PURPOSE: To test the feasibility of applying a step count algorithm developed for consumer activity trackers to data collected from a popular research-grade device worn at the wrist. METHODS: Participants wore an ActiGraph GT3X+ (AG) accelerometer on their dominant wrist while completing four treadmill conditions for four minutes each. Data were sampled at 80 Hz and processed using the proprietary AG and Misfit (MF) step-count algorithms. Manual counts (MC) from videos of the sessions served as the criterion. RESULTS: Data from the first participant are reported. The MF algorithm improved estimates of steps/min for each speed compared to AG (mean absolute difference ± SD: MF = 2.5 ± 2.4, AG = 77.5 ± 26.6).