aggregate_for_mims |
Aggregate over epoch to get numerically integrated values. |
aggregate_for_orientation |
Aggregate over epoch to get estimated accelerometer orientation. |
bandlimited_interp |
Apply a bandlimited interpolation filter to the signal to change the sampling rate |
clip_data |
Clip dataframe to the given start and stop time |
compute_orientation |
Estimate the accelerometer orientation |
conceptual_diagram_data |
The input accelerometer data used to generate the conceptual diagram (Figure 1) in the manuscript. |
custom_mims_unit |
Compute both MIMS-unit and sensor orientations with custom settings |
cut_off_signal |
Cut off input multi-channel signal according to a new dynamic range |
cv_different_algorithms |
Coefficient of variation values for different acceleration data summary algorithms |
edge_case |
A short snippet of raw accelerometer signal from a device that has ending data maxed out. |
export_to_actilife |
Export accelerometer data in Actilife RAW CSV format |
extrapolate |
Extrapolate input multi-channel accelerometer data |
extrapolate_rate |
Get extrapolation rate. |
extrapolate_single_col |
Extrapolate input multi-channel accelerometer data |
generate_interactive_plot |
Plot MIMS unit values or raw signal using dygraphs interactive plotting library. |
iir |
Apply IIR filter to the signal |
illustrate_extrapolation |
Plot illustrations about extrapolation in illustration style. |
illustrate_signal |
Plot given raw signal in illustration diagram style. |
import_actigraph_count_csv |
Import Actigraph count data stored in Actigraph summary csv format |
import_actigraph_csv |
Import raw multi-channel accelerometer data stored in Actigraph raw csv format |
import_actigraph_csv_chunked |
Import large raw multi-channel accelerometer data stored in Actigraph raw csv format in chunks |
import_actigraph_meta |
Import The meta information stored in Actigraph RAW or summary csv file. |
import_activpal3_csv |
Import raw multi-channel accelerometer data stored in ActivPal3 csv format |
import_enmo_csv |
Import ENMO data stored in csv csv |
import_mhealth_csv |
Import raw multi-channel accelerometer data stored in mHealth Specification |
import_mhealth_csv_chunked |
Import large raw multi-channel accelerometer data stored in mHealth Specification in chunks. |
interpolate_signal |
Interpolate missing points and unify sampling rate for multi-channel signal |
measurements_different_devices |
The mean and standard deviation of accelerometer summary measure for different acceleration data summary algorithms and for different devices. |
mims_unit |
Compute Monitor Independent Motion Summary unit (MIMS-unit) |
mims_unit_from_files |
Compute Monitor Independent Motion Summary unit (MIMS-unit) |
parse_epoch_string |
Parse epoch string to the corresponding number of samples it represents. |
rest_on_table |
A short snippet of raw accelerometer signal from a device resting on a table. |
sample_raw_accel_data |
Sample raw accelerometer data |
sampling_rate |
Estimate sampling rate for multi-channel signal |
segment_data |
Segment input dataframe into windows as specified by breaks. 'segment_data' segments the input sensor dataframe into epoch windows with length specified in breaks. |
sensor_orientations |
Estimates sensor orientation |
shiny_app |
Run shiny app to compute MIMSunit values from files |
simulate_new_data |
Simulate new data based on the given multi-channel accelerometer data |
sum_up |
Sum of multi-channel signal. |
vector_magnitude |
Vector magnitude of multi-channel signal. |