Wearable Electronics and Machine Learning Converge to Catch Operator Fatigue Before It Turns Dangerous
A new Research Topic in Frontiers in Electronics shows how wearable sensors and machine learning models, from heart rate variability ...
A new Research Topic in Frontiers in Electronics shows how wearable sensors and machine learning models, from heart rate variability ...
By combining EEG, heart rate variability, and skin conductance in a responsive semi-immersive environment, researchers have mapped how brain and ...
A case report describes how an 8-month multidisciplinary protocol combining rTMS, brain-computer interface training, and multimodal assessment was associated with ...
A preliminary EEG study found that artificial intelligence detected mental fatigue far more accurately when participants' brain activity was recorded ...
A new EEG and computational modelling study finds that both schizotypal and autistic traits are linked to overweighted semantic priors ...
A new study shows deep learning EEG classifiers gain inflated accuracy from visual instruction cues rather than genuine motor imagery ...
A new waveletâEMD fusion framework detects epileptic patterns in pediatric EEG with 94.6% accuracy on synthetic data and retains the ...
A refined checkpoint decomposition algorithm reads three EEG checkpoints during the first ten minutes of anesthesia induction and predicts brain ...
A new closed-loop framework embeds real-time EEG quality assessment inside a Mamba-BiLSTM seizure predictor, gating intervention confidence and outperforming cross-patient ...
A systematic review of 52 studies shows that heart rhythms, speech patterns, eye movements, and brain synchrony could allow scientists ...
Âİ 2025 Scienmag - Science Magazine
Âİ 2025 Scienmag - Science Magazine