:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Stiehl, Annika, Geißelsöder, Stefan, Ille, Nicole, Anselstetter, Fabienne, Bornfleth, Harald, Uhl, Christian
Format:	Preprint
Published:	2025
Subjects:	Signal Processing
Online Access:	https://arxiv.org/abs/2502.12814
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Automated EEG-Based Epilepsy Detection Using Deep Convolutional Autoencoders
by: Stiehl, Annika, et al.
Published: (2025)

Towards practicable Machine Learning development using AI Engineering Blueprints
by: Weeger, Nicolas, et al.
Published: (2025)

Explainable Interictal Epileptiform Discharge Detection Method Based on Scalp EEG and Retrieval-Augmented Generation
by: Zhu, Yu, et al.
Published: (2026)

Orthogonal Extended Infomax Algorithm
by: Ille, Nicole
Published: (2023)

Ongoing EEG artifact correction using blind source separation
by: Ille, Nicole, et al.
Published: (2023)

AI Engineering Blueprint for On-Premises Retrieval-Augmented Generation Systems
by: Weeger, Nicolas, et al.
Published: (2026)

JNEEG shield for Jetson Nano for real-time EEG signal processing with deep learning
by: Rakhmatulin, Ildar
Published: (2024)

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

ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic Seizures
by: Rukhsar, Salim, et al.
Published: (2024)

EEG-based Epileptic Prediction via a Two-stage Channel-aware Set Transformer Network
by: Zheng, Ruifeng, et al.
Published: (2025)

EEG-Based Inter-Patient Epileptic Seizure Detection Combining Domain Adversarial Training with CNN-BiLSTM Network
by: Tazaki, Rina, et al.
Published: (2025)

A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection
by: Li, Andong, et al.
Published: (2021)

Canine EEG Helps Human: Cross-Species and Cross-Modality Epileptic Seizure Detection via Multi-Space Alignment
by: Wang, Z., et al.
Published: (2024)

Implementation of tools for lessening the influence of artifacts in EEG signal analysis
by: Molina-Molina, Mario, et al.
Published: (2024)

Diagnosing epilepsy using entropy measures and embedding parameters of EEG signals
by: Valipour, Fatemeh, et al.
Published: (2024)

eegFloss: A Python package for refining sleep EEG recordings using machine learning models
by: Sikder, Niloy, et al.
Published: (2025)

Comparison analysis between standard polysomnographic data and in-ear-EEG signals: A preliminary study
by: Palo, Gianpaolo, et al.
Published: (2024)

RNN-Based Models for Predicting Seizure Onset in Epileptic Patients
by: Mounagurusamy, Mathan Kumar, et al.
Published: (2024)

Combining Residual U-Net and Data Augmentation for Dense Temporal Segmentation of Spike Wave Discharges in Single-Channel EEG
by: Sengupta, Saurav, et al.
Published: (2026)

Spatio-Temporal Attention Network for Epileptic Seizure Prediction
by: Li, Zan, et al.
Published: (2025)

Preictal Period Optimization for Deep Learning-Based Epileptic Seizure Prediction
by: Koutsouvelis, Petros, et al.
Published: (2024)

An Unobtrusive and Lightweight Ear-worn System for Continuous Epileptic Seizure Detection
by: Aziz, Abdul, et al.
Published: (2024)

Learning the relative composition of EEG signals using pairwise relative shift pretraining
by: Sandino, Christopher, et al.
Published: (2025)

This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN
by: Tang, Dennis, et al.
Published: (2025)

Bayesian quantum sensing using graybox machine learning
by: Youssry, Akram, et al.
Published: (2026)

The more, the better? Evaluating the role of EEG preprocessing for deep learning applications
by: Del Pup, Federico, et al.
Published: (2024)

MAC protocol classification in the ISM band using machine learning methods
by: Rashidpour, Hanieh, et al.
Published: (2024)

Interpretable machine learning for cardiogram-based biometrics
by: Tanasković, Ilija, et al.
Published: (2025)

Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches
by: Moulaeifard, Mohammad, et al.
Published: (2025)

Development of an EEG signal analysis application through a convolution of a complex Morlet wavelet: preliminary results
by: José Humberto Trueba Perdomo
Published: (2019)

MT-NAM: An Efficient and Adaptive Model for Epileptic Seizure Detection
by: Afzal, Arshia, et al.
Published: (2025)

Removing motion artifacts from mechanomyographic signals: an innovative filtering method applied to human movement analysis
by: Correa, Matthieu, et al.
Published: (2025)

Sample entropy for graph signals: An approach to nonlinear analysis of graph signals
by: Lei, Mei-San Maggie, et al.
Published: (2026)

Efficient machine learning for motion sensing for lighting applications
by: Pijlman, Fetze
Published: (2024)

RRAM-Based Bio-Inspired Circuits for Mobile Epileptic Correlation Extraction and Seizure Prediction
by: Wang, Hao, et al.
Published: (2024)

Automated Detection of Epileptic Spikes and Seizures Incorporating a Novel Spatial Clustering Prior
by: Dong, Hanyang, et al.
Published: (2025)

EEG-SeeGraph: Interpreting functional connectivity disruptions in dementias via sparse-explanatory dynamic EEG-graph learning
by: Wu, Fengcheng, et al.
Published: (2026)

DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature Reuse
by: Pei, Yan, et al.
Published: (2023)

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

Passenger hazard perception based on EEG signals for highly automated driving vehicles
by: Tan, Ashton Yu Xuan, et al.
Published: (2024)