Occupational stress and high cognitive workload significantly influence safety, health, and overall well-being in industrial environments where workers are exposed to sustained physical and mental demands. Electroencephalography (EEG) represents a valuable tool for investigating neural correlates of cognitive and emotional processes; however, its deployment in operational contexts is challenging due to motion-related artefacts, electromagnetic interference, and practical constraints associated with wearable integration. This work addresses the design and validation of a wearable EEG system aimed at assessing stress and mental workload in realistic industrial scenarios. A modular sensorized safety helmet was designed as the core wearable platform, enabling multimodal physiological monitoring in dynamic working conditions.