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Quantifying step abundance via single wrist-worn accelerometers is a common approach for encouraging active lifestyle and tracking disease status. Nonetheless, step counting accuracy can be hampered by fluctuations in walking pace or demeanor. Here,
Externí odkaz:
http://arxiv.org/abs/1711.06974
Akademický článek
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Autor:
Gordon MF; Specialty Clinical Development, Teva Pharmaceutical Industries Ltd., Frazer, Pennsylvania, USA., Grachev ID; Guide Pharmaceutical Consulting, LLC, Millstone Township, New Jersey, USA., Mazeh I; Advanced Analytics Department, Intel, Petah Tikva, Israel., Dolan Y; Advanced Analytics Department, Intel, Petah Tikva, Israel., Reilmann R; George Huntington Institute and Department of Radiology University of Münster, Münster, Germany.; Department of Neurodegenerative Diseases and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany., Loupe PS; Specialty Research and Development, Teva Pharmaceutical Industries Ltd., New Orleans, Louisiana, USA., Fine S; Data Science Institute, Interdisciplinary Center, Herzliya, Israel., Navon-Perry L; Clinical Operations, Biometrics and Data Science, Netanya, Israel., Gross N; Specialty Clinical Development, Teva Pharmaceutical Industries Ltd., Frazer, Pennsylvania, USA., Papapetropoulos S; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA., Savola JM; Teva Pharmaceuticals International, Basel, Switzerland., Hayden MR; Global Research and Development, Teva Pharmaceutical Industries Ltd., Petah Tikva, Israel.; Prilenia Therapeutics, Herzliya, Israel.
Publikováno v:
Digital biomarkers [Digit Biomark] 2019 Sep 06; Vol. 3 (3), pp. 103-115. Date of Electronic Publication: 2019 Sep 06 (Print Publication: 2019).