Copertina

Image-based Data Representations of Time Series: A Comparative Analysis in EEG Artifact Detection

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Maiwald, Aaron, Ackermann, Leon, Kalcher, Maximilian, Wu, Daniel J.
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Signal Processing Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces
di: Chen, Xiaoqing, et al.
Pubblicazione: (2022)

Knowledge-guided EEG Representation Learning
di: Kommineni, Aditya, et al.
Pubblicazione: (2024)

Comparative Analysis of Deep Learning Approaches for Harmful Brain Activity Detection Using EEG
di: Bhatti, Shivraj Singh, et al.
Pubblicazione: (2024)

TRLS: A Time Series Representation Learning Framework via Spectrogram for Medical Signal Processing
di: Xie, Luyuan, et al.
Pubblicazione: (2024)

Using Explainable AI for EEG-based Reduced Montage Neonatal Seizure Detection
di: Udayantha, Dinuka Sandun, et al.
Pubblicazione: (2024)

TADA: Temporal Adversarial Data Augmentation for Time Series Data
di: Lee, Byeong Tak, et al.
Pubblicazione: (2024)

TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations
di: Lu, Yihang, et al.
Pubblicazione: (2025)

Kolmogorov-Arnold Networks (KANs) for Time Series Analysis
di: Vaca-Rubio, Cristian J., et al.
Pubblicazione: (2024)

Hybrid Quantum Deep Learning Model for Emotion Detection using raw EEG Signal Analysis
di: Chandanwala, Ali Asgar, et al.
Pubblicazione: (2024)

Interpretable Pre-Trained Transformers for Heart Time-Series Data
di: Davies, Harry J., et al.
Pubblicazione: (2024)

Long-Term EEG Partitioning for Seizure Onset Detection
di: Chen, Zheng, et al.
Pubblicazione: (2024)

E2CAR: An Efficient 2D-CNN Framework for Real-Time EEG Artifact Removal on Edge Devices
di: Liu, Haoliang, et al.
Pubblicazione: (2026)

Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
di: Chen, Zhisheng, et al.
Pubblicazione: (2025)

Tokenizing Single-Channel EEG with Time-Frequency Motif Learning
di: Pradeepkumar, Jathurshan, et al.
Pubblicazione: (2025)

The Deep-Match Framework for Event-Related Potential Detection in EEG
di: Zylinski, Marek, et al.
Pubblicazione: (2026)

Toward the application of XAI methods in EEG-based systems
di: Apicella, Andrea, et al.
Pubblicazione: (2022)

Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series Data
di: Ghaderi, Hamid, et al.
Pubblicazione: (2023)

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration
di: Zhang, Yuren, et al.
Pubblicazione: (2025)

LiPCoT: Linear Predictive Coding based Tokenizer for Self-supervised Learning of Time Series Data via Language Models
di: Anjum, Md Fahim
Pubblicazione: (2024)

BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal
di: Lam, Phat
Pubblicazione: (2026)

A Comparative Study of Conventional and Tripolar EEG for High-Performance Reach-to-Grasp BCI Systems
di: Rabiee, Ali, et al.
Pubblicazione: (2024)

SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs
di: Li, Yisheng, et al.
Pubblicazione: (2024)

SSL-SE-EEG: A Framework for Robust Learning from Unlabeled EEG Data with Self-Supervised Learning and Squeeze-Excitation Networks
di: Chowdhury, Meghna Roy, et al.
Pubblicazione: (2025)

Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework
di: Afzali, Amirabbas, et al.
Pubblicazione: (2024)

EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting
di: Jiang, Zekun, et al.
Pubblicazione: (2024)

EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations
di: Song, Zhenxi, et al.
Pubblicazione: (2024)

A Dataset Fusion Algorithm for Generalised Anomaly Detection in Homogeneous Periodic Time Series Datasets
di: Elhalwagy, Ayman, et al.
Pubblicazione: (2023)

Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis
di: Gkillas, Alexandros, et al.
Pubblicazione: (2024)

A Hybrid Graph Neural Network for Enhanced EEG-Based Depression Detection
di: Wang, Yiye, et al.
Pubblicazione: (2024)

Deep Time Warping for Multiple Time Series Alignment
di: Nourbakhsh, Alireza, et al.
Pubblicazione: (2025)

SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation
di: Ryu, Hyun, et al.
Pubblicazione: (2023)

Anomaly Detection in Time Series of EDFA Pump Currents to Monitor Degeneration Processes using Fuzzy Clustering
di: Schneider, Dominic, et al.
Pubblicazione: (2024)

REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
di: Afzal, Arshia, et al.
Pubblicazione: (2024)

Feature Selection via Dynamic Graph-based Attention Block in MI-based EEG Signals
di: Han, Hyeon-Taek, et al.
Pubblicazione: (2024)

How Much Data is Enough? Optimization of Data Collection for Artifact Detection in EEG Recordings
di: Wang-Nöth, Lu, et al.
Pubblicazione: (2024)

EEG-DCNet: A Fast and Accurate MI-EEG Dilated CNN Classification Method
di: Peng, Wei, et al.
Pubblicazione: (2024)

A Comprehensive Benchmark for Electrocardiogram Time-Series
di: Tang, Zhijiang, et al.
Pubblicazione: (2025)

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
di: Zhang, Kexin, et al.
Pubblicazione: (2023)

Robust EEG-based Emotion Recognition Using an Inception and Two-sided Perturbation Model
di: Sartipi, Shadi, et al.
Pubblicazione: (2024)

EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification
di: Aung, Htoo Wai, et al.
Pubblicazione: (2024)