A Systematic Review of EEG-based Machine Intelligence Algorithms for Depression Diagnosis, and Monitoring
Fuente:
arXiv
Saved in:
| Main Authors: | Nassibi, Amir, Papavassiliou, Christos, Rakhmatulin, Ildar, Mandic, Danilo, Atashzar, S. Farokh |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Review of algorithms for predicting fatigue using EEG
by: Rakhmatulin, Ildar
Published: (2024)
by: Rakhmatulin, Ildar
Published: (2024)
PiEEG-16 to Measure 16 EEG Channels with Raspberry Pi for Brain-Computer Interfaces and EEG devices
by: Rakhmatulin, Ildar
Published: (2024)
by: Rakhmatulin, Ildar
Published: (2024)
PiEEG kit -- bioscience Lab in home for your Brain and Body
by: Rakhmatulin, Ildar
Published: (2025)
by: Rakhmatulin, Ildar
Published: (2025)
JNEEG shield for Jetson Nano for real-time EEG signal processing with deep learning
by: Rakhmatulin, Ildar
Published: (2024)
by: Rakhmatulin, Ildar
Published: (2024)
EEG for fatigue monitoring
by: Rakhmatulin, Ildar
Published: (2024)
by: Rakhmatulin, Ildar
Published: (2024)
In-ear ECG Signal Enhancement with Denoising Convolutional Autoencoders
by: Occhipinti, Edoardo, et al.
Published: (2024)
by: Occhipinti, Edoardo, et al.
Published: (2024)
The Role of Functional Muscle Networks in Improving Hand Gesture Perception for Human-Machine Interfaces
by: Armanini, Costanza, et al.
Published: (2024)
by: Armanini, Costanza, et al.
Published: (2024)
Enabling Unsupervised Training of Deep EEG Denoisers With Intelligent Partitioning
by: Rao, Qiyu, et al.
Published: (2026)
by: Rao, Qiyu, et al.
Published: (2026)
Augmentation of EEG and ECG Time Series for Deep Learning Applications: Integrating Changepoint Detection into the iAAFT Surrogates
by: Moutonnet, Nina, et al.
Published: (2025)
by: Moutonnet, Nina, et al.
Published: (2025)
Machine Intelligence on the Edge: Interpretable Cardiac Pattern Localisation Using Reinforcement Learning
by: Tian, Haozhe, et al.
Published: (2025)
by: Tian, Haozhe, et al.
Published: (2025)
An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG Signals
by: Wu, Chuheng, et al.
Published: (2024)
by: Wu, Chuheng, et al.
Published: (2024)
Amplitude-Independent Machine Learning for PPG through Visibility Graphs and Transfer Learning
by: Miao, Yuyang, et al.
Published: (2023)
by: Miao, Yuyang, et al.
Published: (2023)
Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning
by: Comminiello, Danilo, et al.
Published: (2024)
by: Comminiello, Danilo, et al.
Published: (2024)
EEG Based Generative Depression Discriminator
by: Mao, Ziming, et al.
Published: (2024)
by: Mao, Ziming, et al.
Published: (2024)
EEG-Based Analysis of Brain Responses in Multi-Modal Human-Robot Interaction: Modulating Engagement
by: Oliver, Suzanne, et al.
Published: (2024)
by: Oliver, Suzanne, et al.
Published: (2024)
A Nonlinear Acceleration Method for Iterative Algorithms
by: Shamsi, Mahdi, et al.
Published: (2019)
by: Shamsi, Mahdi, et al.
Published: (2019)
RefineBridge: Generative Bridge Models Improve Financial Forecasting by Foundation Models
by: Bolton, Anthony, et al.
Published: (2025)
by: Bolton, Anthony, et al.
Published: (2025)
Is Limited Participant Diversity Impeding EEG-based Machine Learning?
by: Bomatter, Philipp, et al.
Published: (2025)
by: Bomatter, Philipp, et al.
Published: (2025)
Classification of IED-free EEG Responses for Assisted Epilepsy Diagnosis
by: Zanardini, Giacomo, et al.
Published: (2026)
by: Zanardini, Giacomo, et al.
Published: (2026)
Online Graph Topology Learning via Time-Vertex Adaptive Filters: From Theory to Cardiac Fibrillation
by: Jenkins, Alexander, et al.
Published: (2024)
by: Jenkins, Alexander, et al.
Published: (2024)
Three-Way Emotion Classification of EEG-based Signals using Machine Learning
by: Purwar, Ashna, et al.
Published: (2026)
by: Purwar, Ashna, et al.
Published: (2026)
Interpretable Pre-Trained Transformers for Heart Time-Series Data
by: Davies, Harry J., et al.
Published: (2024)
by: Davies, Harry J., et al.
Published: (2024)
Machine Learning Fairness for Depression Detection using EEG Data
by: Kwok, Angus Man Ho, et al.
Published: (2025)
by: Kwok, Angus Man Ho, et al.
Published: (2025)
Energy-Constrained Information Storage on Memristive Devices in the Presence of Resistive Drift
by: El-Geresy, Waleed, et al.
Published: (2024)
by: El-Geresy, Waleed, et al.
Published: (2024)
EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation
by: Kim, Jonathan W., et al.
Published: (2024)
by: Kim, Jonathan W., et al.
Published: (2024)
EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding
by: Fu, Xi, et al.
Published: (2025)
by: Fu, Xi, et al.
Published: (2025)
Bridging Accuracy and Explainability in EEG-based Graph Attention Network for Depression Detection
by: Hazra, Soujanya, et al.
Published: (2025)
by: Hazra, Soujanya, et al.
Published: (2025)
EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations
by: Song, Zhenxi, et al.
Published: (2024)
by: Song, Zhenxi, et al.
Published: (2024)
A Hybrid Graph Neural Network for Enhanced EEG-Based Depression Detection
by: Wang, Yiye, et al.
Published: (2024)
by: Wang, Yiye, et al.
Published: (2024)
Concept-based explainability for an EEG transformer model
by: Gjølbye, Anders, et al.
Published: (2023)
by: Gjølbye, Anders, et al.
Published: (2023)
Clinical translation of machine learning algorithms for seizure detection in scalp electroencephalography: systematic review
by: Moutonnet, Nina, et al.
Published: (2024)
by: Moutonnet, Nina, et al.
Published: (2024)
The HR-Calculus: Enabling Information Processing with Quaternion Algebra
by: Mandic, Danilo P., et al.
Published: (2023)
by: Mandic, Danilo P., et al.
Published: (2023)
Graph Neural Networks in EEG-based Emotion Recognition: A Survey
by: Liu, Chenyu, et al.
Published: (2024)
by: Liu, Chenyu, et al.
Published: (2024)
On Designing Features for Condition Monitoring of Rotating Machines
by: Maurya, Seetaram, et al.
Published: (2024)
by: Maurya, Seetaram, et al.
Published: (2024)
A Systematic Review of Machine Learning Methods for Multimodal EEG Data in Clinical Application
by: Zhao, Siqi, et al.
Published: (2024)
by: Zhao, Siqi, et al.
Published: (2024)
Machine-learning competition to grade EEG background patterns in newborns with hypoxic-ischaemic encephalopathy
by: Magarelli, Fabio, et al.
Published: (2025)
by: Magarelli, Fabio, et al.
Published: (2025)
Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets
by: Mellot, Apolline, et al.
Published: (2024)
by: Mellot, Apolline, et al.
Published: (2024)
Machine Learning to Detect Anxiety Disorders from Error-Related Negativity and EEG Signals
by: Chandrasekar, Ramya, et al.
Published: (2024)
by: Chandrasekar, Ramya, et al.
Published: (2024)
mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixup
by: Liu, Xuan-Hao, et al.
Published: (2025)
by: Liu, Xuan-Hao, et al.
Published: (2025)
LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines
by: Li, Wei, et al.
Published: (2025)
by: Li, Wei, et al.
Published: (2025)
Similar Items
-
Review of algorithms for predicting fatigue using EEG
by: Rakhmatulin, Ildar
Published: (2024) -
PiEEG-16 to Measure 16 EEG Channels with Raspberry Pi for Brain-Computer Interfaces and EEG devices
by: Rakhmatulin, Ildar
Published: (2024) -
PiEEG kit -- bioscience Lab in home for your Brain and Body
by: Rakhmatulin, Ildar
Published: (2025) -
JNEEG shield for Jetson Nano for real-time EEG signal processing with deep learning
by: Rakhmatulin, Ildar
Published: (2024) -
EEG for fatigue monitoring
by: Rakhmatulin, Ildar
Published: (2024)