This paper presents a novel wearable system for real-time stress monitoring in space-like conditions, combining EEG and PPG signals acquired through a commercially available headband. The system integrates edge-based processing on a low-power microcontroller, enabling real-time classification and feedback without reliance on external computation. A key innovation is including physiological artifacts, such as eye closure and teeth grinding, as features for stress detection rather than noise to be discarded. Experimental results demonstrate high accuracy in multimodal stress identification, highlighting the system’s potential for enhancing astronaut well-being and cognitive performance during long-duration space missions.