Please create github issues if you have any question related to the package. Please click the following button to subscribe to any update on the package (Very important to receive notifications about bugs and bug fixes).
MIMS-unit is abbreviated for Monitor Independent Movement Summary unit. This measurement is developed to harmonize the processing of accelerometer data from different devices. You may refer to the manuscript for the detail description of the algorithm.
You may try to compute MIMS-unit values using our shiny demo app https://qutang.shinyapps.io/MIMSunit/. Note that the upload file size limit is 50 MB. The usage quote for the server is limited, so we do not guarantee the web app is always available to you.
All datasets used in the manuscript are available at https://mhealthgroup.github.io/MIMSunit/articles/datasets.html.
Rtools >=3.5 (see: https://cran.r-project.org/bin/windows/Rtools/)
Note: It is recommended to use Rstudio when installing the package, because
devtools has some compatible issues with R command line interface.
Assume the input dataframe is in following format, with the first column (timestamp) in
POSXlct objects and the device used to collect this data has dynamic range being -3g to 3g. You may set the epoch length to be
10 sec and so on.