6 citations · 6 across the 4 of their papers we have counts for
4 papers
Optimal Time Window and Frequency Bandwidth Parameter Combination for Subject-Specific Motor Imagery EEG Classification
Matthew A. McCartney, Liisa A. Kivioja, Sonal S. Baberwal +1
Motor-imagery (MI) EEG can be classified using supervised machine learning techniques such as Linear Discriminant Analysis applied to features extracted by Common Spatial Patterns.…
Shape-Informed Clustering of Multi-Dimensional Functional Data via Deep Functional Autoencoders
Samuel Singh, Shirley Coyle, Mimi Zhang
We introduce FAEclust, a novel functional autoencoder framework for cluster analysis of multi-dimensional functional data, data that are random realizations of vector-valued random…
Single Channel-based Motor Imagery Classification using Fisher's Ratio and Pearson Correlation
Sonal Santosh Baberwal, Tomas Ward, Shirley Coyle
Motor imagery-based BCI systems have been promising and gaining popularity in rehabilitation and Activities of daily life(ADL). Despite this, the technology is still emerging and h…
Guiding Soft Robots with Motor-Imagery Brain Signals and Impedance Control
Maximilian Stölzle, Sonal Santosh Baberwal, Daniela Rus +2
Integrating Brain-Machine Interfaces into non-clinical applications like robot motion control remains difficult - despite remarkable advancements in clinical settings. Specifically…