EEG Innovations in Neurological Disorder Diagnostics: A Five-Year Review

References (45)

1. 1 A deep learning approach for Parkinson’s disease diagnosis from EEG signals [DOI]
2. 2 An automated system for epilepsy detection using EEG brain signals based on deep learning approach [DOI]
3. 3 Analysis of Electroencephalography (EEG) Signals and Its Categorization–A Study [DOI]
4. 4 Electroencephalography (EEG) Technology Applications and Available Devices [DOI]
5. 5 EEG Classification of Motor Imagery Using a Novel Deep Learning Framework [DOI]
6. 6 Handbook of EEG Interpretation [DOI]
7. 7 EEG Signal Analysis and Classification [DOI]
8. 8 Detection of Epilepsy Seizures in Neo-Natal EEG Using LSTM Architecture [DOI]
9. 9 A novel approach based on wavelet analysis and arithmetic coding for automated detection and diagnosis of epileptic seizure in EEG signals using machine learning techniques [DOI]
10. 10 Deep Learning With EEG Spectrograms in Rapid Eye Movement Behavior Disorder [DOI]
11. 11 Enhanced Detection of Epileptic Seizure Using EEG Signals in Combination With Machine Learning Classifiers [DOI]
12. 12 Epileptic seizure detection in EEG signal using machine learning techniques [DOI]
13. 13 Epileptic Seizures Detection in EEG Signals Using Fusion Handcrafted and Deep Learning Features [DOI]
14. 14 A Three-Class Classification of Cognitive Workload Based on EEG Spectral Data [DOI]
15. 15 Analysis of epileptic seizures based on EEG using recurrence plot images and deep learning [DOI]
16. 16 Resting-state electroencephalography based deep-learning for the detection of Parkinson’s disease [DOI]
17. 17 A Dynamic Filtering DF-RNN Deep-Learning-Based Approach for EEG-Based Neurological Disorders Diagnosis [DOI]
18. 18 A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series [DOI]
19. 19 Using EEG to Distinguish Between Writing and Typing for the Same Cognitive Task [DOI]
20. 20 High-performance detection of epilepsy in seizure-free EEG recordings: A novel machine learning approach using very specific epileptic EEG sub-bands
21. 21 Assessing cognitive mental workload via EEG signals and an ensemble deep learning classifier based on denoising autoencoders [DOI]
22. 22 DeepIED: An epileptic discharge detector for EEG-fMRI based on deep learning [DOI]
23. 23 Machine learning for EEG-based biomarkers in Parkinson’s disease [DOI]
24. 24 Time domain Feature extraction and classification of EEG data for Brain Computer Interface [DOI]
25. 25 EEG and Deep Learning Based Brain Cognitive Function Classification [DOI]
26. 26 Automatic Classification of Motor Impairment Neural Disorders from EEG Signals Using Deep Convolutional Neural Networks [DOI]
27. 27 Automated Machine Learning for EEG-Based Classification of Parkinson’s Disease Patients [DOI]
28. 28 Analysis of EEG Using 10:20 Electrode System
29. 29 Automated Screening of Parkinson's Disease Using Deep Learning Based Electroencephalography [DOI]
30. 30 Time–Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis [DOI]
31. 31 Epileptic Seizure Detection in EEG via Fusion of Multi-View Attention-Gated U-Net Deep Neural Networks [DOI]
32. 32 EEG-signals based cognitive workload detection of vehicle driver using deep learning [DOI]
33. 33 Cognitive Workload Detection from Raw EEG-Signals of Vehicle Driver using Deep Learning [DOI]
34. 34 Epilepsy Detection in EEG Signal using Recurrent Neural Network [DOI]
35. 35 Automatically Identified EEG Signals of Movement Intention Based on CNN Network (End-To-End) [DOI]
36. 36 Anomaly Detection on Electroencephalography with Self-supervised Learning [DOI]
37. 37 Development of a Machine Learning Model to Discriminate Mild Cognitive Impairment Subjects from Normal Controls in Community Screening [DOI]
38. 38 Deep Learning for the Assisted Diagnosis of Movement Disorders, Including Isolated Dystonia [DOI]
39. 39 EEG-based Evaluation of Mental Fatigue Using Machine Learning Algorithms [DOI]
40. 40 Deep Learning Classification of two-class Motor Imagery EEG signals using Transfer Learning [DOI]
41. 41 Deep Learning for Automatic Detection of Periodic Limb Movement Disorder Based on Electrocardiogram Signals [DOI]
42. 42 EEG Motor-Imagery BCI System Based on Maximum Overlap Discrete Wavelet Transform (MODWT) and Machine learning algorithm [DOI]
43. 43 Machine Learning Applications to Epileptiform Activity Recognition in Rats after Traumatic Brain Injury [DOI]
44. 44 2021 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) [DOI]
45. 45 Iraqi Journal for Electrical and Electronic Engineering [DOI]

Cited by 17

Showing 8 of 17 known citations — external sources report more than can currently be individually listed.

Related research

• Occurrence of two Types of Granule Cells with Different Excitability in Rat Dentate Gyrus Granule Cell Layer Following Pilocarpine-Induced Status Epilepticus — shares topic coverage
• The Impacts of Childhood Epilepsy in School Children — shares topic coverage
• Neuroprotective Effect of Nilotinib on Cortical Pyramidal Cells, Histological, Morphometric and Biochemical Study — shares topic coverage
• Molecular Insights into the Role of Inflammation and Oxidative Stress in Epilepsy — shares topic coverage
• Evaluation of Teachers Knowledge, Attitude and Practice towards Persons with Epilepsy: There is Need for Educational Interventions — shares topic coverage