Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysis
Objective. In this paper, a novel methodology for feature extraction to enhance classification
accuracy of functional near-infrared spectroscopy (fNIRS)-based two-class and three-class …
accuracy of functional near-infrared spectroscopy (fNIRS)-based two-class and three-class …
Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysis.
H Nazeer, N Naseer, RA Khan, FM Noori… - Journal of Neural …, 2020 - europepmc.org
Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based
phase analysis. - Abstract - Europe PMC Sign in | Create an account https://orcid.org Europe …
phase analysis. - Abstract - Europe PMC Sign in | Create an account https://orcid.org Europe …
Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysis
H Nazeer, N Naseer, RA Khan… - Journal of Neural …, 2020 - ui.adsabs.harvard.edu
Objective. In this paper, a novel methodology for feature extraction to enhance classification
accuracy of functional near-infrared spectroscopy (fNIRS)-based two-class and three-class …
accuracy of functional near-infrared spectroscopy (fNIRS)-based two-class and three-class …
Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysis
H Nazeer, N Naseer, RA Khan… - Journal of neural …, 2020 - pubmed.ncbi.nlm.nih.gov
Objective In this paper, a novel methodology for feature extraction to enhance classification
accuracy of functional near-infrared spectroscopy (fNIRS)-based two-class and three-class …
accuracy of functional near-infrared spectroscopy (fNIRS)-based two-class and three-class …