Data processing in functional near-infrared spectroscopy (fNIRS) motor control research
PW Dans, SD Foglia, AJ Nelson - Brain Sciences, 2021 - mdpi.com
FNIRS pre-processing and processing methodologies are very important—how a researcher
chooses to process their data can change the outcome of an experiment. The purpose of this …
chooses to process their data can change the outcome of an experiment. The purpose of this …
Hierarchical extreme puzzle learning machine-based emotion recognition using multimodal physiological signals
A Pradhan, S Srivastava - Biomedical Signal Processing and Control, 2023 - Elsevier
Detection of exact emotions through multi-modal physiological signals provides relevant
information for different processes. Numerous computational approaches have been …
information for different processes. Numerous computational approaches have been …
Multiclass EEG signal classification utilizing Rényi min-entropy-based feature selection from wavelet packet transformation
This paper proposes a novel feature selection method utilizing Rényi min-entropy-based
algorithm for achieving a highly efficient brain–computer interface (BCI). Usually, wavelet …
algorithm for achieving a highly efficient brain–computer interface (BCI). Usually, wavelet …
A parallel strategy for predicting the quality of welded joints in automotive bodies based on machine learning
G Chen, B Sheng, R Luo, P Jia - Journal of Manufacturing Systems, 2022 - Elsevier
Due to the complexity of the resistance spot welding process, it is still a challenge to
accurately know the operating status of the welding robot under the current parameter …
accurately know the operating status of the welding robot under the current parameter …
Vehicle trajectory reconstruction for intersections: an integrated wavelet transform and Savitzky-Golay filter approach
Reconstructing vehicle trajectories is an essential step in obtaining high-precision vehicle
trajectory data owing to observation errors. Although considerable efforts have been made …
trajectory data owing to observation errors. Although considerable efforts have been made …
Rapid determination of moisture content of multi-source solid waste using ATR-FTIR and multiple machine learning methods
Rapid determination of moisture content plays an important role in guiding the recycling,
treatment and disposal of solid waste, as the moisture content of solid waste directly affects …
treatment and disposal of solid waste, as the moisture content of solid waste directly affects …
Improvement of classification accuracy of four-class voluntary-imagery fNIRS signals using convolutional neural networks
Abstract Multiclass functional Near-Infrared Spectroscopy (fNIRS) signal classification has
become a convenient way for optical brain-computer interface. fNIRS signal classification …
become a convenient way for optical brain-computer interface. fNIRS signal classification …
[HTML][HTML] A behaviourally underpinned approach for two-dimensional vehicular trajectory reconstruction with constrained optimal control
Vehicle trajectory reconstruction is an indispensable step before using the observed
trajectory data for analysis. A recurrent challenge of the existing smoothing/filtering-based …
trajectory data for analysis. A recurrent challenge of the existing smoothing/filtering-based …
[HTML][HTML] Statistical valuation of cognitive load level hemodynamics from functional near-infrared spectroscopy signals
Human cognitive load level assessment is a challenging issue in the field of functional brain
imaging. This work aims to study different cognitive load levels statistically from brain …
imaging. This work aims to study different cognitive load levels statistically from brain …
Modeling and classification of voluntary and imagery movements for brain–computer interface from fNIR and EEG signals through convolutional neural network
Practical brain–computer interface (BCI) demands the learning-based adaptive model that
can handle diverse problems. To implement a BCI, usually functional near-infrared …
can handle diverse problems. To implement a BCI, usually functional near-infrared …