tag:joss.theoj.org,2005:/papers/tagged/accelerometerJournal of Open Source Software2022-12-01T16:06:13ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/37412022-12-01T16:06:13Z2022-12-02T00:01:05ZactivAnalyzer: An R Shiny app to analyse ActiGraph accelerometer data and to implement the use of the PROactive Physical Activity in COPD instrumentsacceptedv1.0.42022-07-22 23:30:38 UTC802022-12-01 16:06:13 UTC720224741Pierre-Yvesde MüllenheimInstitut de formation en éducation physique et en sport d'Angers (IFEPSA-UCO), Les Ponts-de-Cé, France0000-0001-9157-7371ArnaudChambellanGroupement des Hôpitaux de l’Institut Catholique de Lille (GHICL), Hôpital Saint Philibert, Lomme, France0000-0002-7860-188010.21105/joss.04741https://doi.org/10.5281/zenodo.7384191Rhttps://joss.theoj.org/papers/10.21105/joss.04741.pdfphysical activity, sedentary behaviour, accelerometer, actigraph, COPD, PROactive instruments, Shinytag:joss.theoj.org,2005:Paper/17612020-08-21T10:04:28Z2021-02-15T11:30:26ZSit2StandPy: An Open-Source Python Package for Detecting and Quantifying Sit-to-Stand Transitions Using an Accelerometer on the Lower Backacceptedv1.0.02020-06-23 17:12:01 UTC522020-08-21 10:04:28 UTC520202449LukasAdamowiczPfizer, Inc. 610 Main Street, Cambridge MA, USA 02139ShyamalPatelPfizer, Inc. 610 Main Street, Cambridge MA, USA 0213910.21105/joss.02449https://doi.org/10.5281/zenodo.3988351Pythonhttps://joss.theoj.org/papers/10.21105/joss.02449.pdfBiomechanics, Digital Biomarkers, Digital Medicine, Accelerometer, Inertial Sensors, Wearable Sensors, Human Motion, Activity Recognitiontag:joss.theoj.org,2005:Paper/14312020-03-30T15:17:22Z2021-02-15T11:31:10Zmhealthtools: A Modular R Package for Extracting Features from Mobile and Wearable Sensor Dataaccepted0.2.02020-01-07 00:34:44 UTC472020-03-30 15:17:22 UTC520202106PhilSnyderSage Bionetworks0000-0002-6967-2185MeghasyamTummalacherlaSage Bionetworks0000-0002-0741-8683ThanneerPerumalSage Bionetworks0000-0003-1168-8982LarssonOmbergSage Bionetworks0000-0002-4719-912010.21105/joss.02106https://doi.org/10.5281/zenodo.3731707Rhttps://joss.theoj.org/papers/10.21105/joss.02106.pdfmhealth, mobile health, digital health, ehealth, accelerometer, feature extraction, gait, heart rate, tapping, tremor, parkinsonstag:joss.theoj.org,2005:Paper/11412019-12-18T14:55:35Z2021-02-15T11:31:51ZSleepPy: A python package for sleep analysis from accelerometer dataaccepted0.122019-07-31 18:29:30 UTC442019-12-18 14:55:35 UTC420191663YiorgosChristakisPfizer, Inc.0000-0003-3371-8935NikhilMahadevanPfizer, Inc.0000-0003-0257-9311ShyamalPatelPfizer, Inc.0000-0002-4369-303310.21105/joss.01663https://doi.org/10.5281/zenodo.3572581Jupyter Notebook, Pythonhttps://joss.theoj.org/papers/10.21105/joss.01663.pdfSleepPy, Accelerometer, Actigraphy, Algorithms, Wrist, GeneActiv, Digital Medicine, Wearable Sensorstag:joss.theoj.org,2005:Paper/12012019-11-04T18:34:00Z2021-02-15T11:31:40ZGaitPy: An Open-Source Python Package for Gait Analysis Using an Accelerometer on the Lower Backacceptedv1.02019-09-05 14:58:06 UTC432019-11-04 18:34:00 UTC420191778MatthewD.CzechPfizer, Inc.0000-0001-9954-7003ShyamalPatelPfizer, Inc.0000-0002-4369-303310.21105/joss.01778https://doi.org/10.5281/zenodo.3528115Pythonhttps://joss.theoj.org/papers/10.21105/joss.01778.pdfGaitPy, Accelerometer, Actigraphy, Algorithms, Lumbar, Gait, Digital Medicine, Wearable Sensors