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Self-built multimodal physiological sensing device integrating EEG, fNIRS and PPG sensing technologies to explore real-time monitoring of cognitive load, attention and learning states.
Prototype preview · simulated signals
Uedu Brain combines three complementary physiological sensing technologies to capture learners' brain and physiological activity from different perspectives.
Measure brain potential activity via scalp electrodes and capture brain waves in different frequency bands such as α, β, θ and δ, reflecting levels of attention, cognitive load and relaxation.
Use near-infrared light to penetrate the scalp and measure haemoglobin oxygenation changes in the prefrontal cortex, indirectly reflecting brain-region activation and cognitive workload.
Detect changes in blood vessel volume through an optical sensor, calculate heart rate and heart rate variability (HRV), and assess autonomic nervous system activity and stress responses.
This study explores how to deploy an EEG sleep staging model on edge devices, combining the reasoning capabilities of large language models (LLM) to achieve real-time, privacy-preserving sleep quality assessment. This technology is one of the core algorithms of Uedu Brain.