| sampling_rate {MIMSunit} | R Documentation |
Estimate sampling rate for multi-channel signal
Description
sampling_rate estimates the sampling rate based on the average time
intervals between adjacent samples for the input multi-channel signal.
Usage
sampling_rate(df)
Arguments
df |
dataframe. Input dataframe of the multi-channel signal. The first column is the timestamps in POSXlct format and the following columns are accelerometer values. |
Details
This function accepts a dataframe of multi-channel signal, computes the duration of the sequence, and gets the sampling rate by dividing the number of samples by it.
Value
number. The estimated sampling rate in Hz.
How is it used in MIMS-unit algorithm?
This function is a utility function that was used in various part in the algorithm whenever we need to know the sampling rate.
See Also
Other utility functions:
clip_data(),
cut_off_signal(),
interpolate_signal(),
parse_epoch_string(),
segment_data(),
simulate_new_data()
Examples
# Get the test data
df = sample_raw_accel_data
# Default sampling rate is 80Hz
sampling_rate(df)
# Downsample to 30Hz
output = bandlimited_interp(df, 80, 30)
sampling_rate(output)
# Upsampling to 100Hz
output = bandlimited_interp(df, 80, 100)
sampling_rate(output)