`bessel`

function takes a multi-channel signal and applies a bessel
lowpass filter to the signal.

bessel(df, sr, cutoff_freq, order = 8)

df | dataframe. The input multi-channel signal. The first column is timestamps in POSXlct format. The rest columns are signal values. |
---|---|

sr | number. Sampling rate in Hz of the input signal. |

cutoff_freq | number. The lowpass cutoff frequency in Hz. |

order | number. The order of the filter. Default is 8. |

dataframe. Filtered signal.

This function filters the input multi-channel signal by applying a bessel lowpass filter. See wiki for the explanation of the filter. The filter was implemented with the same implementation as in MATLAB.

This function has been considered as one of filtering options during the development of MIMS-unit algorithm. But the released version of MIMS-unit algorithm does not use this function for filtering.

Other filtering functions:
`bandlimited_interp()`

,
`iir()`

,
`remove_average()`

# Use sample data df = sample_raw_accel_data # View input illustrate_signal(df, plot_maxed_out_line = FALSE)# Apply filtering output = bessel(df, sr=80, cutoff_freq=2, order=8) # View output illustrate_signal(output, plot_maxed_out_line = FALSE)