ArticleComputational intelligence and neuroscience2016
Analysis of Different Classification Techniques for Two-Class Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface.
Article in Computational intelligence and neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed.
- Multivariate synchrosqueezing transform and time-frequency attention for mental workload classification from EEG signals.Scientific reports · 2026Article
- Neurophysiological Approaches to Lie Detection: A Systematic Review.Brain sciences · 2025Review
- Visualization and workload with implicit fNIRS-based BCI: toward a real-time memory prosthesis with fNIRS.Frontiers in neuroergonomics · 2025Article
- Assessment of residual awareness in patients with disorders of consciousness using functional near-infrared spectroscopy-based connectivity: a pilot study.Neurophotonics · 2024Article
- Novel Feature Generation for Classification of Motor Activity from Functional Near-Infrared Spectroscopy Signals Using Machine Learning.Diagnostics (Basel, Switzerland) · 2024Article
- Assessing the consistency and sensitivity of the neural correlates of narrative stimuli using functional near-infrared spectroscopy.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Deep learning in fNIRS: a review.Neurophotonics · 2022Review
- Four-Class Classification of Neuropsychiatric Disorders by Use of Functional Near-Infrared Spectroscopy Derived Biomarkers.Sensors (Basel, Switzerland) · 2022Article
- Stockwell transform and semi-supervised feature selection from deep features for classification of BCI signals.Scientific reports · 2022Article
- LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCI.Sensors (Basel, Switzerland) · 2022Article
- Novel fNIRS study on homogeneous symmetric feature-based transfer learning for brain-computer interface.Scientific reports · 2022Article
- Forecasting Unplanned Purchase Behavior under Buy-One Get-One-Free Promotions Using Functional Near-Infrared Spectroscopy.Computational intelligence and neuroscience · 2022Article
- Classification of Individual Finger Movements from Right Hand Using fNIRS Signals.Sensors (Basel, Switzerland) · 2021Article
- Most favorable stimulation duration in the sensorimotor cortex for fNIRS-based BCI.Biomedical optics express · 2021Article
- Subject-independent decoding of affective states using functional near-infrared spectroscopy.PloS one · 2021Article
- Classification of Game Demand and the Presence of Experimental Pain Using Functional Near-Infrared Spectroscopy.Frontiers in neuroergonomics · 2021Article
- Vector Phase Analysis Approach for Sleep Stage Classification: A Functional Near-Infrared Spectroscopy-Based Passive Brain-Computer Interface.Frontiers in human neuroscience · 2021Article
- Enhancing Classification Performance of fNIRS-BCI by Identifying Cortically Active Channels Using the z-Score Method.Sensors (Basel, Switzerland) · 2020Article
- Sensor Location Optimization of Wireless Wearable fNIRS System for Cognitive Workload Monitoring Using a Data-Driven Approach for Improved Wearability.Sensors (Basel, Switzerland) · 2020Article
- Enhancing Communication for People in Late-Stage ALS Using an fNIRS-Based BCI System.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2020Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
We analyse and compare the classification accuracies of six different classifiers for a two-class mental task (mental arithmetic and rest) using functional near-infrared spectroscopy (fNIRS) signals. The signals of the mental arithmetic and rest tasks from the prefrontal cortex region of the brain for seven healthy subjects were acquired using a multichannel continuous-wave imaging system. After removal of the physiological noises, six features were extracted from the oxygenated hemoglobin (HbO) signals. Two- and three-dimensional combinations of those features were used for classification of mental tasks. In the classification, six different modalities, linear discriminant analysis (LDA), quadratic discriminant analysis (QDA),
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.