Found: 13
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Review of Emotion Recognition in Stroke Patients.
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- Dementia & Geriatric Cognitive Disorders, 2013, v. 36, n. 3/4, p. 179, doi. 10.1159/000353440
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- Article
Emotion Recognition from Spatio-Temporal Representation of EEG Signals via 3D-CNN with Ensemble Learning Techniques.
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- Brain Sciences (2076-3425), 2023, v. 13, n. 4, p. 685, doi. 10.3390/brainsci13040685
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- Article
An Emotion Assessment of Stroke Patients by Using Bispectrum Features of EEG Signals.
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- Brain Sciences (2076-3425), 2020, v. 10, n. 10, p. 672, doi. 10.3390/brainsci10100672
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- Article
Comprehensive Analysis of Feature Extraction Methods for Emotion Recognition from Multichannel EEG Recordings.
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- Sensors (14248220), 2023, v. 23, n. 2, p. 915, doi. 10.3390/s23020915
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- Article
Deep Convolutional Neural Network Model for Automated Diagnosis of Schizophrenia Using EEG Signals.
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- Applied Sciences (2076-3417), 2019, v. 9, n. 14, p. 2870, doi. 10.3390/app9142870
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- Article
On the analysis of EEG power, frequency and asymmetry in Parkinson's disease during emotion processing.
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- Behavioral & Brain Functions, 2014, v. 10, n. 1, p. 1, doi. 10.1186/1744-9081-10-12
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- Article
Investigating the Effects of Microclimate on Physiological Stress and Brain Function with Data Science and Wearables.
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- Sustainability (2071-1050), 2022, v. 14, n. 17, p. 10769, doi. 10.3390/su141710769
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- Article
Diagnosis of Parkinson's disease from electroencephalography signals using linear and self‐similarity features.
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- Expert Systems, 2022, v. 39, n. 7, p. 1, doi. 10.1111/exsy.12472
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- Article
A deep learning approach for Parkinson's disease diagnosis from EEG signals.
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- Neural Computing & Applications, 2020, v. 32, n. 15, p. 10927, doi. 10.1007/s00521-018-3689-5
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- Article
A novel Parkinson’s Disease Diagnosis Index using higher-order spectra features in EEG signals.
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- Neural Computing & Applications, 2018, v. 30, n. 4, p. 1225, doi. 10.1007/s00521-016-2756-z
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- Article
Time–Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis.
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- International Journal of Neural Systems, 2021, v. 31, n. 8, p. 1, doi. 10.1142/S0129065721500325
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- Article
Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study.
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- International Journal of Neural Systems, 2021, v. 31, n. 5, p. N.PAG, doi. 10.1142/S0129065720500744
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- Article
Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks.
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- International Journal of Neural Systems, 2020, v. 30, n. 11, p. N.PAG, doi. 10.1142/S0129065720500306
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- Article