More importantly, this designation enables broader deployment of our rapid EEG system, to equip clinicians throughout federal healthcare networks with the tools they need to deliver faster diagnoses ...

'ZDNET Recommends': What exactly does it mean? ZDNET's recommendations are based on many hours of testing, research, and comparison shopping. We gather data from the best available sources ...

Impact Statement: Emotion recognition using EEG is a cornerstone of advancing mental health diagnostics, affective computing, and emotionally adaptive human-computer interaction. Current EEG-based ...

EmT is designed to excel in both generalized cross-subject electroencephalography (EEG) emotion classification and regression tasks. In EmT, EEG signals are transformed into a temporal graph format, ...

A Transformer architecture for classification of raw EEG signals, including several visualizations of attention weights. To train on the dataset described in the dataset section, it would be enough to ...

Select the journal/section where you want your idea to be submitted: Recent advancements in neuroscience have highlighted the transformative potential of combining electroencephalography (EEG) and ...

Инструмент на Python для разведочного анализа данных (EDA) и визуализации, поддерживающий загрузку данных CSV и JSON, с модульной архитектурой ООП ...