Algorithm to Compute Monitor Independent Movement Summary Unit (MIMS-Unit)
Aggregate over epoch to get numerically integrated values.
Aggregate over epoch to get estimated accelerometer orientation.
Apply a bandlimited interpolation filter to the signal to change the s...
Clip dataframe to the given start and stop time
Estimate the accelerometer orientation
Compute both MIMS-unit and sensor orientations with custom settings
Cut off input multi-channel signal according to a new dynamic range
Export accelerometer data in Actilife RAW CSV format
Extrapolate input multi-channel accelerometer data
Get extrapolation rate.
Plot MIMS unit values or raw signal using dygraphs interactive plottin...
Apply IIR filter to the signal
Plot illustrations about extrapolation in illustration style.
Plot given raw signal in illustration diagram style.
Import Actigraph count data stored in Actigraph summary csv format
Import raw multi-channel accelerometer data stored in Actigraph raw cs...
Import large raw multi-channel accelerometer data stored in Actigraph ...
Import The meta information stored in Actigraph RAW or summary csv fil...
Import raw multi-channel accelerometer data stored in ActivPal3 csv fo...
Import ENMO data stored in csv csv
Import raw multi-channel accelerometer data stored in mHealth Specific...
Import large raw multi-channel accelerometer data stored in mHealth Sp...
Interpolate missing points and unify sampling rate for multi-channel s...
Compute Monitor Independent Motion Summary unit (MIMS-unit)
Parse epoch string to the corresponding number of samples it represent...
Estimate sampling rate for multi-channel signal
Segment input dataframe into windows as specified by breaks. `segment_...
Estimates sensor orientation
Run shiny app to compute MIMSunit values from files
Simulate new data based on the given multi-channel accelerometer data
Sum of multi-channel signal.
Vector magnitude of multi-channel signal.
The MIMS-unit algorithm is developed to compute Monitor Independent Movement Summary Unit, a measurement to summarize raw accelerometer data while ensuring harmonized results across different devices. It also includes scripts to reproduce results in the related publication (John, D., Tang. Q., Albinali, F. and Intille, S. (2019) <doi:10.1123/jmpb.2018-0068>).
Useful links