
Wearable EEG Neurofeedback Based-on Machine Learning Algorithms for Children with Autism: A Randomized, Placebo-controlled Study.
Wearable EEG neurofeedback shows promise for improving language and cognitive skills in children with autism. π€π
Discover the newest research about AI innovations in π§ Brain-Computer Interfaces.
Wearable EEG neurofeedback shows promise for improving language and cognitive skills in children with autism. π€π
AI Model Detects Brain Tumors in 10 Seconds π§ β±οΈ
FastGlioma improves surgical outcomes by identifying residual tumors more accurately than traditional methods.
New research highlights a self-attention CNN approach for improving EEG decoding in stroke rehabilitation. π§ πͺ
A novel EEG-based system aids communication for neurological disorder patients, achieving up to 97% accuracy. π§ π¬
Exploring the integration of human activity recognition and brain-machine interfaces for enhanced human-robot collaboration. π€π§
AI shows promising accuracy in brain tumor MRI analysis, matching radiologists’ performance. π€π§ Future implications for diagnostics are significant.
Home monitoring technology shows promise for older adults with TBI. Key barriers and facilitators identified. π§ π‘
Exploring brain-computer interfaces (BCI) and AI’s role in enhancing EEG signal analysis for better health outcomes. π§ π»