Capital Medical University School of Rehabilitation Medicine Reports Findings in Autism Spectrum Disorders (Wearable EEG Neurofeedback Based-on Machine Learning Algorithms for Children with Autism: A Randomized, Placebo-controlled Study)
Capital Medical University School of Rehabilitation Medicine Reports Findings in Autism Spectrum Disorders (Wearable EEG Neurofeedback Based-on Machine Learning Algorithms for Children with Autism: A Randomized, Placebo-controlled Study)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Developmental Diseases and Condit ions - Autism Spectrum Disorders is thesubject of a report. According to news r eporting out of Beijing, People’s Republic of China, by NewsRxeditors, research stated, “Behavioral interventions have been shown to ameliorate the electroence phalogram(EEG) dynamics underlying the behavioral symptoms of autism spectrum d isorder (ASD), while studieshave also demonstrated that mirror neuron mu rhythm -based EEG neurofeedback training improves thebehavioral functioning of individ uals with ASD. This study aimed to test the effects of a wearable murhythm neur ofeedback training system based on machine learning algorithms for children with autism.”
Key words
Beijing/People’s Republic of China/Asi a/Algorithms/Autism/Autism Spectrum Disorders/Clinical Research/Clinical Tr ials and Studies/Cyborgs/Developmental Disabilities/Developmental Diseases an d Conditions/Emerging Technologies/Health and Medicine/Machine Learning/Ment al Health/Neurology
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