How a Hidden Flaw in EEG Machine Learning Inflates Accuracy by 35 Percentage Points
A new study shows that randomly splitting EEG windows between training and test sets inflates diagnostic accuracy by roughly 35 ...
Tag: EEG
Deep Learning Is Teaching Machines to Read the Brain’s Electrical Whispers
A systematic review maps how deep learning architectures are transforming EEG analysis for neurological disease diagnosis, while warning that data ...
When the Newborn Heart Stops Talking to the Brain: Signals of Oxygen Starvation
Every minute of a newborn's life, two of the body's most vital systems—the brain and the heart—are engaged in a ...
Beyond flickering: code-modulated motion visual evoked potentials bring flicker-free control to brain-computer interfaces
A new c-MVEP paradigm modulates stimuli with pseudo-random zooming motion instead of flicker, reaching 85.67% accuracy in an online BCI ...
Human Brain Signals Could Train the Next Generation of Humanoid Robots
A new perspective in Frontiers in Neurorobotics proposes that humanoid robots could unlock embodiment-dependent neural signals, such as touch and ...
Brain Signals Stay Steady in Repeated Testing, Study Finds
Event-related potentials, or ERPs, are among the most powerful tools in human neuroscience. Recorded through electrodes on the scalp, these ...
Ketamine Trial Aims to Blunt Depression, Craving and Relapse in Opioid Use Disorder
A phase II randomised, double-blind, placebo-controlled trial in Cyprus will test whether six intravenous ketamine infusions can reduce depressive symptoms, ...
Wearable Sensors in Real Cockpits Reveal How Far Pilot Stress Monitoring Can Actually Go
The first synchronized multimodal wearable dataset collected during real general-aviation flight shows heart rate and eye movements genuinely track pilot ...
Mind and Muscle Together: Hybrid Brain–Body Signals Drive a Walking Exoskeleton in Real Time
A hybrid EEG–EMG decoder using a BiLSTM network triggered lower-limb exoskeleton assistance faster and more accurately than either signal alone ...
Sliding Windows and Fourier Decomposition Give Brain-Computer Interfaces a Lightweight Edge
Researchers in India have built a lightweight brain-computer interface framework that combines sliding-window segmentation, Fourier decomposition, and a compact neural ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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