This systematic review explores how smart gadgets and wearable technologies assist in diagnosing and managing stress, wellness, and anxiety. It examines the integration of heart rate variability (HRV), electrodermal activity (EDA), and other physiological sensors in smartwatches, bands, and mobile applications. Findings indicate that HRV, when combined with EEG, provides superior diagnostic accuracy. EDA is also highly precise, whereas mean heart rate alone is less reliable. The study acknowledges limitations in sensor accuracy and the potential for misinterpretation. Future research should improve signal processing and personalization for real-time interventions.
To enhance brain health, consider using wearables that monitor heart rate variability (HRV) and electrodermal activity (EDA) for stress awareness. However, self-monitoring should be complemented with structured interventions like guided breathing or mindfulness apps. Since sensor accuracy varies, rely on trends rather than isolated readings. Future advancements may improve wearables' predictive power, but for now, use them as one component of a broader mental wellness strategy.