Deep learning model spots neonatal seizures from EEG brain maps with 97% accuracy
A transfer learning framework classified neonatal seizures from EEG topographic maps, with ResNet-18 reaching 97.1 percent subject-wise accuracy on unseen ...
Tag: EEG
Neural Field Model Fitting Suggests Reduced Corticothalamic Integrity in Disorders of Consciousness
A multicentre study fitted individualised corticothalamic neural field models to EEG from 547 participants, showing reduced corticothalamic integrity in unresponsive ...
Self-Supervised AI Learns to Detect Seizures, but Its Blind Spots Reveal a Deeper Truth About Robustness
A proof-of-concept study shows a self-supervised EEG seizure detector matches its supervised counterpart on discrimination but trades precision for recall, ...
One-Week Smartphone Intervention for Autistic Adults Falls Short in First Trial
A randomized trial of a one-week smartphone prompting intervention found high retention among 31 autistic adults but adherence and acceptability ...
EEG Causal Networks Reveal Sleep-Specific Brain Disruption in COVID-19 Provoked Seizures
A Brain Informatics study used conditional Granger causality on EEG recordings to show sleep-specific causal network disruption in seizures provoked ...
Brief Inhibitory Seizures in Children Traced to Focal Cortical Discharges in 17-Patient Study
A retrospective study of 17 children at a Chinese hospital maps the electrical signatures, treatment responses, and rare structural causes ...
AI in Stroke Rehabilitation: A New Review Maps Promise and Pitfalls
A new review maps how artificial intelligence is being applied across stroke rehabilitation prediction, assessment, and intervention, while warning that ...
Childhood epilepsy often persists into adulthood with little improvement over a decade
A ten-year retrospective cohort study of 100 Malaysian patients found only 12 percent achieved seizure freedom, with no significant improvement ...
Multi-paradigm EEG signals and AI enable reliable biometric authentication
A multi-paradigm EEG protocol combined with machine learning achieved a 1.6 percent equal error rate in cross-session biometric authentication.
Deep learning of symbolic EEG patterns detects ADHD with 96% accuracy in children
A new EEG study combined entropy-optimized symbolic signal analysis with a bidirectional LSTM network to distinguish children with ADHD from ...
Deep learning reads EEG spectrograms to sort seizure types
A study tested nine deep learning models on time-frequency images of EEG signals, with Mel-spectrogram features paired with AlexNet reaching ...
Blind EEG Steganography Framework Hides Data in Brain Signals Without the Original Recording
A blind DCT–RS–QIM framework achieved 100 percent clean payload recovery in EEG recordings while quantifying exactly what a receiver needs, ...
Virtual Night Walks Reveal How Young Women Perceive Urban Streets After Dark
A controlled VR experiment in Guangzhou's old town links lower perceived nighttime safety among young women to weak lighting, visual ...
AI Reads a Single EEG Channel to Stage Sleep, With Confidence Checks Built In
A new spectral-temporal deep learning framework reached 0.8469 accuracy on a fixed Sleep-EDF test partition while flagging low-confidence epochs for ...
AI Reads Preterm Babies’ Brain Waves to Pinpoint Their Cerebral Age
A deep learning model estimated the cerebral maturation age of preterm infants from EEG bursts with a mean error of ...
Most EEG emotion datasets are hard to reuse, review of 27 finds
A systematic review of 27 EEG emotion-recognition datasets finds that nearly half lack a dataset-level identifier, three heavily cited corpora ...
EEG Reveals Hidden Brain Network Signatures in Adolescents with Depressive Symptoms
A multiscale EEG study of 250 adolescents finds theta-band hyperconnectivity, reduced dynamic state flexibility, and focal right prefrontal topological vulnerability ...
EEG Headband Trial Will Test Whether Neurofeedback Mindfulness Can Ease Migraine Burden
A registered randomized controlled trial protocol from Spanish researchers will test whether 12 weeks of home-based mindfulness training guided by ...
AI Fuses Video, Audio, EEG and Gaze to Measure Real-Time VR Football Immersion
A new cross-modal attention network combines match video, commentary audio, EEG and eye-tracking data to assess viewer immersion in VR ...
Self-attention improves EEG workload classification in one multitasking study
A four-head self-attention module raised cross-validated EEG workload classification accuracy from 80.73% to 91.33% during SIMKAP multitasking in one study, ...
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