Time-Variant Linear Discriminant Analysis Improves Hand Gesture and Finger Movement Decoding for Invasive Brain-Computer Interfaces

• Published in: Frontiers in neuroscience Vol. 13; p. 901
• Main Authors: Gruenwald, Johannes, Znobishchev, Andrei, Kapeller, Christoph, Kamada, Kyousuke, Scharinger, Josef, Guger, Christoph
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 26.09.2019; Frontiers Media S.A
• Subjects: Accuracy; Algorithms; brain-computer interface; Classification; Clinical trials; Discriminant analysis; electrocorticography; Electrodes; Electroencephalography; Epilepsy; Experiments; Interfaces; linear discriminant analysis; Linear programming; Motor task performance; movement decoding; Neural networks; Neuroscience; Prostheses; spectral whitening; Austria; electrocorticography; movement decoding; linear discriminant analysis; brain-computer interface; spectral whitening

Invasive brain-computer interfaces yield remarkable performance in a multitude of applications. For classification experiments, high-gamma bandpower features and linear discriminant analysis (LDA) are commonly used due to simplicity and robustness. However, LDA is inherently static and not suited to...