""" Last edit: Víctor Martínez-Cagigal (07 Dec 2021) """
import numpy as np
[docs]def itr(accuracy, n_commands, selections_per_min):
"""
Calculates the information transfer rate (ITR) in bits/min. This metric is
widely used to assess the performance of a BCI. However, it has serious
limitations for online systems: (i) it assumes that the probability of
selecting all symbols is the same; (ii) the system is memoryless; (iii) a
synchronous paradigm is used; (iv) users cannot correct mistakes.
Parameters
---------------
accuracy: float or list of floats
Accuracy of the system (between 0 and 1).
n_commands: int
Number of possible commands to be selected.
selections_per_min: float
Number of selections that have been performed in a minute.
Returns
----------------
itr: float or list of floats
ITR corresponding to each accuracy in bits per min (bpm).
"""
# Special cases
if accuracy == 0:
# If accuracy is 0%, then ITR is 0 bpm
itr = 0
elif accuracy == 1:
# If accuracy is 100%, then we take the mathematical limit
itr = np.log2(n_commands) * selections_per_min
else:
# Otherwise: common ITR formula
itr = (np.log2(n_commands) + accuracy * np.log2(accuracy) +
(1 - accuracy) * np.log2((1 - accuracy) / (n_commands - 1))) \
* selections_per_min
return itr