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Detection of emotions in Parkinson's disease using higher order spectral features from brain's electrical activity.

, , , , , , and . Biomed. Signal Proc. and Control, (2014)

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A novel Parkinson's Disease Diagnosis Index using higher-order spectra features in EEG signals., , and . Neural Comput. Appl., 30 (4): 1225-1235 (2018)Automated EEG pathology detection based on different convolutional neural network models: Deep learning approach., , and . Comput. Biol. Medicine, (2021)Diagnosis of Parkinson's disease from electroencephalography signals using linear and self-similarity features., , , , , and . Expert Syst. J. Knowl. Eng., (2022)Classification of low-functioning and high-functioning autism using task-based EEG signals., , , and . Biomed. Signal Process. Control., (August 2023)Comprehensive Analysis of Feature Extraction Methods for Emotion Recognition from Multichannel EEG Recordings., , , , and . Sensors, 23 (2): 915 (January 2023)A deep Learning Scheme for Automatic Seizure Detection from Long-Term Scalp EEG., , , and . ACSSC, page 368-372. IEEE, (2018)Bispectral features and mean shift clustering for stress and emotion recognition from natural speech., , , , , , and . Comput. Electr. Eng., (2017)A deep learning approach for Parkinson's disease diagnosis from EEG signals., , , , , , and . Neural Comput. Appl., 32 (15): 10927-10933 (2020)Implementation of wavelet packet transform and non linear analysis for emotion classification in stroke patient using brain signals., , , , , and . Biomed. Signal Process. Control., (2017)Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis., , , , , , , , , and 5 other author(s). Int. J. Neural Syst., 31 (8): 2150032:1-2150032:16 (2021)