Elgendi and Markov et al. systematically review 26 studies on wearable devices that use physiological signals such as heart activity, breathing, skin responses, and blood flow to detect anxiety. They find that combining multiple signals improves accuracy over single-signal methods, highlighting the potential of wearables for anxiety detection.
- Mohamed Elgendi
- Karmen Markov
- Carlo Menon