Machine Learning Based Prediction of Motor Imagery and Motor Execution Tasks from Functional Near Infrared Spectroscopy Signals
Sign Up to like & getrecommendations! Published in 2020 at "Brain"
DOI: 10.1364/brain.2020.bm4c.2
Abstract: This study explores the utility of fNIRS signals for BCI applications. Hemodynamic features extracted from fNIRS measurements during various motor execution and imagery tasks are used for tertiary classification with high accuracy and statistical significance. read more here.
Keywords: imagery; machine learning; motor; spectroscopy ... See more keywords
Real-time Classification of Non-Weight Bearing Lower-Limb Movements Using EMG to Facilitate Phantom Motor Execution: Engineering and Case Study Application on Phantom Limb Pain
Sign Up to like & getrecommendations! Published in 2017 at "Frontiers in Neurology"
DOI: 10.3389/fneur.2017.00470
Abstract: Phantom motor execution (PME), facilitated by myoelectric pattern recognition (MPR) and virtual reality (VR), is positioned to be a viable option to treat phantom limb pain (PLP). A recent clinical trial using PME on upper-limb… read more here.
Keywords: phantom motor; limb; lower limb; motor execution ... See more keywords
Brain Function and Upper Limb Deficit in Stroke With Motor Execution and Imagery: A Cross-Sectional Functional Magnetic Resonance Imaging Study
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.806406
Abstract: Background Motor imagery training might be helpful in stroke rehabilitation. This study explored if a specific modulation of movement-related regions is related to motor imagery (MI) ability. Methods Twenty-three patients with subcortical stroke and 21… read more here.
Keywords: gyrus; motor; motor execution; imagery ... See more keywords
Decoding Multi-Class Motor Imagery and Motor Execution Tasks Using Riemannian Geometry Algorithms on Large EEG Datasets
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DOI: 10.3390/s23115051
Abstract: The use of Riemannian geometry decoding algorithms in classifying electroencephalography-based motor-imagery brain–computer interfaces (BCIs) trials is relatively new and promises to outperform the current state-of-the-art methods by overcoming the noise and nonstationarity of electroencephalography signals.… read more here.
Keywords: geometry; riemannian geometry; motor; motor execution ... See more keywords