113 related articles for article (PubMed ID: 37362740)
21. EEG rhythm based emotion recognition using multivariate decomposition and ensemble machine learning classifier.
Vempati R; Sharma LD
J Neurosci Methods; 2023 Jun; 393():109879. PubMed ID: 37182604
[TBL] [Abstract][Full Text] [Related]
22. Deep Learning Recurrent Neural Network for Concussion Classification in Adolescents Using Raw Electroencephalography Signals: Toward a Minimal Number of Sensors.
Thanjavur K; Hristopulos DT; Babul A; Yi KM; Virji-Babul N
Front Hum Neurosci; 2021; 15():734501. PubMed ID: 34899212
[TBL] [Abstract][Full Text] [Related]
23. Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals.
Tayeb Z; Fedjaev J; Ghaboosi N; Richter C; Everding L; Qu X; Wu Y; Cheng G; Conradt J
Sensors (Basel); 2019 Jan; 19(1):. PubMed ID: 30626132
[TBL] [Abstract][Full Text] [Related]
24. Cross-subject classification of depression by using multiparadigm EEG feature fusion.
Yang J; Zhang Z; Fu Z; Li B; Xiong P; Liu X
Comput Methods Programs Biomed; 2023 May; 233():107360. PubMed ID: 36944276
[TBL] [Abstract][Full Text] [Related]
25. Detection of k-complexes in EEG signals using a multi-domain feature extraction coupled with a least square support vector machine classifier.
Al-Salman W; Li Y; Wen P
Neurosci Res; 2021 Nov; 172():26-40. PubMed ID: 33965451
[TBL] [Abstract][Full Text] [Related]
26. Automatic detection of Parkinson's disease from power spectral density of electroencephalography (EEG) signals using deep learning model.
Göker H
Phys Eng Sci Med; 2023 Sep; 46(3):1163-1174. PubMed ID: 37245195
[TBL] [Abstract][Full Text] [Related]
27. Grasshopper optimization algorithm-based approach for the optimization of ensemble classifier and feature selection to classify epileptic EEG signals.
Singh G; Singh B; Kaur M
Med Biol Eng Comput; 2019 Jun; 57(6):1323-1339. PubMed ID: 30756231
[TBL] [Abstract][Full Text] [Related]
28. Machine Learning and Electroencephalogram Signal based Diagnosis of Dipression.
Khadidos AO; Alyoubi KH; Mahato S; Khadidos AO; Nandan Mohanty S
Neurosci Lett; 2023 Jul; 809():137313. PubMed ID: 37257682
[TBL] [Abstract][Full Text] [Related]
29. A major depressive disorder diagnosis approach based on EEG signals using dictionary learning and functional connectivity features.
Movahed RA; Jahromi GP; Shahyad S; Meftahi GH
Phys Eng Sci Med; 2022 Sep; 45(3):705-719. PubMed ID: 35635612
[TBL] [Abstract][Full Text] [Related]
30. A novel comparative study for detection of Covid-19 on CT lung images using texture analysis, machine learning, and deep learning methods.
Yasar H; Ceylan M
Multimed Tools Appl; 2021; 80(4):5423-5447. PubMed ID: 33041635
[TBL] [Abstract][Full Text] [Related]
31. A hybrid decision support system for automatic detection of Schizophrenia using EEG signals.
Khare SK; Bajaj V
Comput Biol Med; 2022 Feb; 141():105028. PubMed ID: 34836626
[TBL] [Abstract][Full Text] [Related]
32. An effective approach to classify epileptic EEG signal using local neighbor gradient pattern transformation methods.
Sairamya NJ; Thomas George S; Balakrishnan R; Subathra MSP
Australas Phys Eng Sci Med; 2018 Dec; 41(4):1029-1046. PubMed ID: 30374770
[TBL] [Abstract][Full Text] [Related]
33. Fused CNN-LSTM deep learning emotion recognition model using electroencephalography signals.
Ramzan M; Dawn S
Int J Neurosci; 2023 Jun; 133(6):587-597. PubMed ID: 34121598
[No Abstract] [Full Text] [Related]
34. Analyzing of optimal classifier selection for EEG signals of depression patients based on intelligent fuzzy decision support systems.
Abdullah S; Abosuliman SS
Sci Rep; 2023 Jul; 13(1):11425. PubMed ID: 37452055
[TBL] [Abstract][Full Text] [Related]
35. Enhancing EEG-Based Classification of Depression Patients Using Spatial Information.
Jiang C; Li Y; Tang Y; Guan C
IEEE Trans Neural Syst Rehabil Eng; 2021; 29():566-575. PubMed ID: 33587703
[TBL] [Abstract][Full Text] [Related]
36. Electroencephalography-Based Depression Detection Using Multiple Machine Learning Techniques.
Ksibi A; Zakariah M; Menzli LJ; Saidani O; Almuqren L; Hanafieh RAM
Diagnostics (Basel); 2023 May; 13(10):. PubMed ID: 37238263
[TBL] [Abstract][Full Text] [Related]
37. A comparative study of machine learning methods for classifying ERP scalp distribution.
Salehzadeh R; Soylu F; Jalili N
Biomed Phys Eng Express; 2023 Jun; 9(4):. PubMed ID: 37279711
[No Abstract] [Full Text] [Related]
38. Epileptic seizure detection in EEG signal using machine learning techniques.
Jaiswal AK; Banka H
Australas Phys Eng Sci Med; 2018 Mar; 41(1):81-94. PubMed ID: 29264792
[TBL] [Abstract][Full Text] [Related]
39. Stockwell transform and semi-supervised feature selection from deep features for classification of BCI signals.
Salimpour S; Kalbkhani H; Seyyedi S; Solouk V
Sci Rep; 2022 Jul; 12(1):11773. PubMed ID: 35817814
[TBL] [Abstract][Full Text] [Related]
40. Exploring deep residual network based features for automatic schizophrenia detection from EEG.
Siuly S; Guo Y; Alcin OF; Li Y; Wen P; Wang H
Phys Eng Sci Med; 2023 Jun; 46(2):561-574. PubMed ID: 36947384
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]