Compute MIMS-unit from imported data

Qu Tang

November 21, 2017

Make sure your imported data is in the following format

The first timestamp column should be in POSIXct format.

# test with a sample file shipped with the package
file_path = system.file('extdata', 'mhealth.csv', package='MIMSunit')
df = MIMSunit::import_mhealth_csv(filepath=file_path)

HEADER_TIME_STAMP	X	Y	Z
2017-03-16 12:25:50	0.396	1.249	0.161
2017-03-16 12:25:50	0.373	1.224	0.179
2017-03-16 12:25:50	0.355	1.182	0.179
2017-03-16 12:25:50	0.341	1.148	0.179
2017-03-16 12:25:50	0.326	1.117	0.161

Plot accelerometer’s raw signal

MIMSunit::generate_interactive_plot(df, "Acceleration (g)", c(2,3,4))

Run MIMS-unit algorithm on input data

Compute MIMS-unit values

mims = MIMSunit::mims_unit(df, epoch = '1 sec', dynamic_range = c(-2, 2), output_mims_per_axis = TRUE)

HEADER_TIME_STAMP	MIMS_UNIT	MIMS_UNIT_X	MIMS_UNIT_Y	MIMS_UNIT_Z
2017-03-16 12:25:50	0.4904041	0.0946427	0.3055596	0.0902019
2017-03-16 12:25:51	0.5724948	0.1914685	0.3035101	0.0775162
2017-03-16 12:25:52	0.4372073	0.1688716	0.1967192	0.0716166
2017-03-16 12:25:53	0.4564886	0.1513979	0.2152772	0.0898135
2017-03-16 12:25:54	0.3866534	0.1262016	0.1772661	0.0831857

Plot MIMS-unit values

MIMSunit::generate_interactive_plot(mims, "MIMS-unit values", c(2,3,4,5))