BioSig: The Free and Open Source Software Library for Biomedical Signal Processing

Table 1

List of BCI-related task that can be performed using BioSig.

Data preprocessing	Triggering, partitioning of data
	Artifact processing
	Quality check of data through histogram analysis
	Spatial filters
	Detection of EMG artifacts
	Common spatial patterns
Feature extraction; Band power	Adaptive autoregressive parameters
	Adaptive multivariate autoregressive parameters
	(Adaptive) Hjorth
	(Adaptive) Barlow
	(Adaptive) Wackermann
	(Adaptive) time-domain parameters
	Adaptive brain rate,
	spectral edge frequency
Feature classification	Linear discriminant analysis (LDA)
	Quadratic discriminant analysis (QDA)
	Support vector machines
	Naive Bayesian classifier (NBC)
	Augmented NBC
	Sparse LDA
	Generalized discriminant analysis
Evaluation criteria Classification accuracy	Cohen's kappa coefficient
	Receiver operating characteristics (ROC)
	Area under the ROC curve
	Mutual information, information transfer rate
	Correlation coefficient
Metafunctions	findclassifier, cross-validation (xval),
	standardized analysis
	(demo2 is an example of a standardized
	offline analysis)