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The use of low-density EEG for the classification of PPA and MCI
Published 2025-02-01Subjects: Get full text
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An overlapping sliding window and combined features based emotion recognition system for EEG signals
Published 2025-01-01Subjects: “…Electroencephalography (EEG)…”
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84
The history, current state and future possibilities of the non-invasive brain computer interfaces
Published 2025-03-01Subjects: Get full text
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85
Amplitude Modulation Depth Coding Method for SSVEP-Based Brain–Computer Interfaces
Published 2025-01-01Subjects: Get full text
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86
Scattering Improves Temporal Resolution of Vision: A Pilot Study on Brain Activity
Published 2024-12-01Subjects: Get full text
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A hybrid CNN-Bi-LSTM model with feature fusion for accurate epilepsy seizure detection
Published 2025-01-01Subjects: Get full text
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A novel paradigm for fast training data generation in asynchronous movement-based BCIs
Published 2025-02-01Subjects: “…electroencephalography…”
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Fusion Model Using Resting Neurophysiological Data to Help Mass Screening of Methamphetamine Use Disorder
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Anesthesia depth monitoring during opioid free anesthesia – a prospective observational study
Published 2025-01-01Subjects: “…Processed electroencephalography…”
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Fluoxetine, but not paroxetine, alters the jaw-closing muscle activity during non-rapid eye movement sleep in mice
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An End-to-End Brain Computer Interface System for Mental Workload Estimation through Hybrid Deep Learning Model
Published 2024-11-01Subjects: Get full text
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Fast EEG/MEG BEM-based forward problem solution for high-resolution head models
Published 2025-02-01Subjects: “…Electroencephalography (EEG)…”
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Connectivity changes following transcranial alternating current stimulation at 5-Hz: an EEG study
Published 2024-10-01Subjects: Get full text
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98
Oscillating Mindfully: Using Machine Learning to Characterize Systems-Level Electrophysiological Activity During Focused Attention Meditation
Published 2025-03-01“…Methods: Thus, to reveal the complex systemic neuroelectrophysiology of meditation, we applied a machine learning extreme gradient boosting classification algorithm and 4 complementary feature importance methods to extract systemic electroencephalography features characterizing mindful states from electroencephalography recorded during a focused attention meditation and a control mind-wandering state among 26 experienced meditators. …”
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Electric Source Localization Adds Evidence for Task-Specific CNVs
Published 1998-01-01“…This study was an attempt to replicate recent magnetoencephalographic (MEG) findings on human task-specific CNV sources (Basile et al., Electroencephalography and Clinical Neurophysiology 90, 1994, 157–165) by means of a spatio-temporal electric source localization method (Scherg and von Cramon, Electroencephalography and Clinical Neurophysiology 62, 1985, 32–44; Scherg and von Cramon, Electroencephalography and Clinical Neurophysiology 65, 1986, 344-360; Scherg and Berg, Brain Electric Source Analysis Handbook, Version 2). …”
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Deep Convolutional Neural Network Model for the Differential Diagnosis of Schizophrenia Using EEG Signals
Published 2024-10-01“…For general cognitive activity analysis, electroencephalography signals are widely used as a low-resolution diagnostic tool. …”
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