Estimate sampling rate for multi-channel signal

sampling_rate estimates the sampling rate based on the average time intervals between adjacent samples for the input multi-channel signal.

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.

Value

number. The estimated sampling rate in Hz.

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.

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)
#> [1] 80

# Downsample to 30Hz
output = bandlimited_interp(df, 80, 30)
sampling_rate(output)
#> [1] 30

# Upsampling to 100Hz
output = bandlimited_interp(df, 80, 100)
sampling_rate(output)
#> [1] 100