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  "Title": "Free-Living Wearable Accelerometry for the Physio Ecosystem",
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  "Description": "Free-living physical-activity analysis of raw tri-axial\naccelerometer data, following the GGIR methodology. Computes\nthe Euclidean-Norm-Minus-One (ENMO) acceleration metric with\nepoch aggregation, gravity-based auto-calibration (van Hees et\nal. 2014), non-wear detection, step detection,\nphysical-activity intensity classification and bout detection,\nand a free-living physical-behaviour summary (intensity\ngradient and MX metrics, activity fragmentation, diurnal\nprofile and guideline attainment) linked to the ICF Activities\nand Participation performance qualifier. Ingests raw\naccelerometer exports (GENEActiv / ActiGraph / Axivity CSV)\ninto PhysioExperiment objects.",
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      "title": "Wrap tri-axial acceleration in a PhysioExperiment",
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