Smart bra-based ECG and sEMG system for physiological stress detection during oral exams via machine learning classification

Key Points

• The smart bra-based system effectively detects physiological stress during oral exams, enhancing assessment accuracy.
• Key evidence shows a notable classification accuracy of over 85% in identifying stress levels in students during evaluations.
• Analysis of electrocardiogram (ECG) and surface electromyography (sEMG) signals demonstrates the system's capability in real-time stress monitoring.
• Highlights the need for further validation in broader settings to confirm applicability and usability in diverse environments.