Self-supervised Learning for Electroencephalogram: A Systematic Survey
Electroencephalogram (EEG) is a non-invasive technique to record bioelectrical signals.
Integrating supervised deep learning techniques with EEG signals has recently facilitated …
Integrating supervised deep learning techniques with EEG signals has recently facilitated …
Towards domain generalization for ecg and eeg classification: Algorithms and benchmarks
Despite their immense success in numerous fields, machine and deep learning systems
have not yet been able to firmly establish themselves in mission-critical applications in …
have not yet been able to firmly establish themselves in mission-critical applications in …
Multi-scale dual domain network for nonlinear magnetization signal filtering in magnetic particle imaging
H Peng, Z Wei, Y Li, T Zhu, T Wang, Z Fan… - … Signal Processing and …, 2023 - Elsevier
Magnetic particle imaging (MPI) realizes functional imaging by generating nonlinear
response signals in the magnetic field through magnetic nanoparticles. MPI is a highly …
response signals in the magnetic field through magnetic nanoparticles. MPI is a highly …
Age-Related Characteristics of Resting-State Electroencephalographic Signals and the Corresponding Analytic Approaches: A Review
JH Kang, JH Bae, YJ Jeon - Bioengineering, 2024 - mdpi.com
The study of the effects of aging on neural activity in the human brain has attracted
considerable attention in neurophysiological, neuropsychiatric, and neurocognitive …
considerable attention in neurophysiological, neuropsychiatric, and neurocognitive …
Listen2yourheart: A self-supervised approach for detecting murmur in heart-beat sounds
A Ballas, V Papapanagiotou… - 2022 Computing in …, 2022 - ieeexplore.ieee.org
Heart murmurs are abnormal sounds present in heartbeats, caused by turbulent blood flow
through the heart. The PhysioNet 2022 challenge targets automatic detection of murmur …
through the heart. The PhysioNet 2022 challenge targets automatic detection of murmur …
EEG-based seizure prediction with machine learning
MM Qureshi, M Kaleem - Signal, Image and Video Processing, 2023 - Springer
Epilepsy is a well-recognized neurological illness which affects millions of people
worldwide. This illness has long been considered important in biomedical research because …
worldwide. This illness has long been considered important in biomedical research because …
A causal perspective on brainwave modeling for brain–computer interfaces
Objective. Machine learning (ML) models have opened up enormous opportunities in the
field of brain–computer Interfaces (BCIs). Despite their great success, they usually face …
field of brain–computer Interfaces (BCIs). Despite their great success, they usually face …