mhealthtools: A Modular R Package for Extracting Features from Mobile and Wearable Sensor Data

R Submitted 07 January 2020 • Published 30 March 2020
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Authors

Phil Snyder (0000-0002-6967-2185), Meghasyam Tummalacherla (0000-0002-0741-8683), Thanneer Perumal (0000-0003-1168-8982), Larsson Omberg (0000-0002-4719-9120)

Citation

Snyder et al., (2020). mhealthtools: A Modular R Package for Extracting Features from Mobile and Wearable Sensor Data. Journal of Open Source Software, 5(47), 2106, https://doi.org/10.21105/joss.02106

@article{Snyder2020, doi = {10.21105/joss.02106}, url = {https://doi.org/10.21105/joss.02106}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {47}, pages = {2106}, author = {Phil Snyder and Meghasyam Tummalacherla and Thanneer Perumal and Larsson Omberg}, title = {mhealthtools: A Modular R Package for Extracting Features from Mobile and Wearable Sensor Data}, journal = {Journal of Open Source Software} }
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mhealth mobile health digital health ehealth accelerometer feature extraction gait heart rate tapping tremor parkinsons

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ISSN 2475-9066