首页|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)
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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.”
BeijingPeople’s Republic of ChinaAsi aAlgorithmsAutismAutism Spectrum DisordersClinical ResearchClinical Tr ials and StudiesCyborgsDevelopmental DisabilitiesDevelopmental Diseases an d ConditionsEmerging TechnologiesHealth and MedicineMachine LearningMent al HealthNeurology
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