Month: November 2019

Experts call for more active prevention of tooth decay for children’s teeth

Three-year trial comparing three treatment strategies for tooth decay in children’s teeth finds no evidence to suggest that conventional fillings are more successful than sealing decay into teeth, or using preventive methods alone. 43% of those participating in the study experienced toothache or dental infection regardless of the treatment received. Read Full Article (External Site) […]

Published on November 27, 2019

ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data

Heterogeneous mental disorders such as Autism Spectrum Disorder (ASD) are notoriously difficult to diagnose, especially in children. The current psychiatric diagnostic process is based purely on the behavioral observation of symptomology (DSM-5/ICD-10) and may be prone to misdiagnosis. In order to move the field toward more quantitative diagnosis, we need advanced and scalable machine learning […]

Published on November 27, 2019

Optimization of Real-Time EEG Artifact Removal and Emotion Estimation for Human-Robot Interaction Applications

Affective human-robot interaction requires lightweight software and cheap wearable devices that could further this field. However, the estimation of emotions in real-time poses a problem that has not yet been optimized. An optimization is proposed for the emotion estimation methodology including artifact removal, feature extraction, feature smoothing, and brain pattern classification. The challenge of filtering […]

Published on November 27, 2019